An Efficient Topological Distance-Based Tree Kernel, IEEE Transactions on Neural Networks and Learning Systems, vol.26, issue.5, pp.1115-1120, 2015. ,
DOI : 10.1109/TNNLS.2014.2329331
Route kernels for trees, Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, pp.17-24, 2009. ,
DOI : 10.1145/1553374.1553377
All-paths graph kernel for protein-protein interaction extraction with evaluation of crosscorpus learning, BMC bioinformatics, vol.9, pp.11-13, 2008. ,
Good Practice in Large-Scale Learning for Image Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.36, issue.3, pp.507-520, 2014. ,
DOI : 10.1109/TPAMI.2013.146
URL : https://hal.archives-ouvertes.fr/hal-00690014
Image Mining Using Directional Spatial Constraints, IEEE Geoscience and Remote Sensing Letters, vol.7, issue.1, pp.33-37, 2010. ,
DOI : 10.1109/LGRS.2009.2014083
URL : http://www.cs.bilkent.edu.tr/%7Esaksoy/papers/grsl_spatial_mining.pdf
Efficient exponential-time algorithms for edit distance between unordered trees, Journal of Discrete Algorithms, vol.25, pp.79-93, 2014. ,
DOI : 10.1016/j.jda.2013.09.001
GraphBPT: An Efficient Hierarchical Data Structure for Image Representation and Probabilistic Inference, International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, pp.301-312, 2015. ,
DOI : 10.1007/978-3-319-18720-4_26
URL : https://hal.archives-ouvertes.fr/hal-01168116
Image Classification Using Marginalized Kernels for Graphs, pp.103-113, 2007. ,
DOI : 10.1007/978-3-540-72903-7_10
A Fuzzy Spatial Reasoner for Multi-Scale GEOBIA Ontologies, Photogrammetric Engineering & Remote Sensing, vol.81, issue.6, pp.491-498, 2015. ,
DOI : 10.14358/PERS.81.6.491
Introduction neural networks in remote sensing, International Journal of remote sensing, vol.184, pp.699-709, 1997. ,
Random forest in remote sensing: A review of applications and future directions, ISPRS Journal of Photogrammetry and Remote Sensing, vol.114, pp.24-31, 2016. ,
DOI : 10.1016/j.isprsjprs.2016.01.011
Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments, International Workshop on Multiple Classifier Systems, pp.501-512, 2007. ,
DOI : 10.1007/978-3-540-72523-7_50
Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information, In: ISPRS Journal of Photogrammetry and Remote Sensing, vol.583, pp.239-258, 2004. ,
A survey on tree edit distance and related problems, Theoretical computer science, pp.217-239, 2005. ,
DOI : 10.1016/j.tcs.2004.12.030
Hyperspectral remote sensing data analysis and future challenges, IEEE Geoscience and Remote Sensing Magazine 1, pp.6-36, 2013. ,
Object based image analysis for remote sensing, ISPRS Journal of Photogrammetry and Remote Sensing, vol.65, issue.1, pp.2-16, 2010. ,
DOI : 10.1016/j.isprsjprs.2009.06.004
Geographic Object-Based Image Analysis ??? Towards a new paradigm, ISPRS Journal of Photogrammetry and Remote Sensing, vol.87, pp.180-191, 2014. ,
DOI : 10.1016/j.isprsjprs.2013.09.014
Kernel descriptors for visual recognition, Advances in Neural Information Processing Systems, pp.244-252, 2010. ,
Efficient match kernel between sets of features for visual recognition, Advances in Neural Information Processing Systems, pp.135-143, 2009. ,
Shortest-path kernels on graphs, IEEE International Conference on Data Mining, pp.8-16, 2005. ,
Protein function prediction via graph kernels, In: Bioinformatics, vol.211, pp.47-56, 2005. ,
Image indexing and retrieval using component trees, 2016. ,
URL : https://hal.archives-ouvertes.fr/tel-01362165
Retrieval of Remote Sensing Images with Pattern Spectra Descriptors, ISPRS International Journal of Geo-Information, vol.8, issue.12, p.12, 2016. ,
DOI : 10.1007/s11263-015-0816-y
URL : https://hal.archives-ouvertes.fr/hal-01397883
Multiple classifiers applied to multisource remote sensing data, IEEE Transactions on Geoscience and Remote Sensing, vol.4010, pp.2291-2299, 2002. ,
A Multilevel Context-Based System for Classification of Very High Spatial Resolution Images, IEEE Transactions on Geoscience and Remote Sensing, vol.44, issue.9, pp.2587-2600, 2006. ,
DOI : 10.1109/TGRS.2006.875360
Multiple kernel learning for visual object recognition: A review, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.367, pp.1354-1369, 2014. ,
Kernel methods for remote sensing data analysis, 2009. ,
DOI : 10.1002/9780470748992
Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.6, pp.1822-1835, 2008. ,
DOI : 10.1109/TGRS.2008.916201
URL : http://www.uv.es/gcamps/papers/kernelchange_v8.pdf
Remote Sensing Image Processing, Synthesis Lectures on Image, Video, and Multimedia Processing, pp.1-192, 2011. ,
DOI : 10.1109/36.763276
URL : https://hal.archives-ouvertes.fr/hal-00799778
Remote Sensing Image Classification Using Attribute Filters Defined Over the Tree of Shapes, IEEE Transactions on Geoscience and Remote Sensing, vol.54, issue.7, pp.3899-3911, 2016. ,
DOI : 10.1109/TGRS.2016.2530690
URL : https://hal.archives-ouvertes.fr/hal-01272019
LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, p.27, 2011. ,
DOI : 10.1145/1961189.1961199
Anomaly Detection with Score Functions Based on the Reconstruction Error of the Kernel PCA, Joint European Conference on Machine Learning and Knowledge Discovery in Databases. 2014, pp.227-241 ,
DOI : 10.1007/978-3-662-44848-9_15
URL : https://hal.archives-ouvertes.fr/hal-01061866
The devil is in the details: an evaluation of recent feature encoding methods, Procedings of the British Machine Vision Conference 2011, pp.8-20, 2011. ,
DOI : 10.5244/C.25.76
Evaluation of local features for scene classification using VHR satellite images, 2011 Joint Urban Remote Sensing Event, pp.385-388, 2011. ,
DOI : 10.1109/JURSE.2011.5764800
Pyramid of Spatial Relatons for Scene-Level Land Use Classification, IEEE Transactions on Geoscience and Remote Sensing, vol.53, issue.4, pp.1947-1957, 2015. ,
DOI : 10.1109/TGRS.2014.2351395
Hierarchical object oriented classification using very high resolution imagery and LIDAR data over urban areas, In: Advances in Space Research, vol.437, pp.1101-1110, 2009. ,
Big Data for Remote Sensing: Challenges and Opportunities, Proceedings of the IEEE, pp.2207-2219, 2016. ,
DOI : 10.1109/JPROC.2016.2598228
Efficient Kernel Clustering Using Random Fourier Features, 2012 IEEE 12th International Conference on Data Mining, pp.161-170 ,
DOI : 10.1109/ICDM.2012.61
URL : http://biometrics.cse.msu.edu/Publications/Clustering/ChittaJinJain_EfficientKernelClusteringUsingRandomFourierFeatures_ICDM12.pdf
Convolution kernels for natural language, Advances in Neural Information Processing Systems, pp.625-632, 2001. ,
A review of assessing the accuracy of classifications of remotely sensed data, In: Remote Sensing of Environment, vol.371, pp.35-46, 1991. ,
X-Class, ACM Transactions on Information Systems, vol.31, issue.1, pp.1-40, 2013. ,
DOI : 10.1145/2414782.2414785
Nearest neighbor pattern classification, IEEE Transactions on Information Theory, vol.13, issue.1, pp.21-27, 1967. ,
DOI : 10.1109/TIT.1967.1053964
URL : http://ssg.mit.edu/cal/abs/2000_spring/np_dens/classification/cover67.pdf
A Subpath Kernel for Learning Hierarchical Image Representations, pp.34-43, 2015. ,
DOI : 10.1007/978-3-319-18224-7_4
URL : https://hal.archives-ouvertes.fr/hal-01168099
Combining multiscale features for classification of hyperspectral images: A sequence-based kernel approach, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2016. ,
DOI : 10.1109/WHISPERS.2016.8071671
URL : https://hal.archives-ouvertes.fr/hal-01320012
Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification, Remote Sensing, vol.12, issue.12, 2017. ,
DOI : 10.1109/TGRS.2014.2358934
URL : https://hal.archives-ouvertes.fr/hal-01672848
Combining multiple resolutions into hierarchical representations for kernel-based image classification, GEOBIA 2016 : Solutions and Synergies, 2016. ,
DOI : 10.3990/2.372
URL : https://hal.archives-ouvertes.fr/hal-01320011
Fast global alignment kernels, Proceedings of the 28th International Conference on Machine Learning, pp.929-936, 2011. ,
Extended profiles with morphological attribute filters for the analysis of hyperspectral data, International Journal of Remote Sensing, vol.2, issue.22, pp.5975-5991, 2010. ,
DOI : 10.1080/01431160500300354
Morphological Attribute Profiles for the Analysis of Very High Resolution Images, IEEE Transactions on Geoscience and Remote Sensing, vol.48, issue.10, pp.3747-3762, 2010. ,
DOI : 10.1109/TGRS.2010.2048116
Challenges and Opportunities of Multimodality and Data Fusion in Remote Sensing, Proceedings of the IEEE, pp.1585-1601, 2015. ,
DOI : 10.1109/JPROC.2015.2462751
Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.5, pp.1416-1427, 2008. ,
DOI : 10.1109/TGRS.2008.916480
Attribute profiles on derived features for urban land cover classification, Photogrammetric Engineering and Remote Sensing, vol.833, pp.183-193, 2017. ,
Dynamic ensemble selection approach for hyperspectral image classification with joint spectral and spatial information, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.86, pp.2405-2417, 2015. ,
Revisiting the VLAD image representation, Proceedings of the 21st ACM international conference on Multimedia, MM '13, pp.653-656 ,
DOI : 10.1145/2502081.2502171
URL : https://hal.archives-ouvertes.fr/hal-00840653
Multiscale classification of remote sensing images, IEEE Transactions on Geoscience and Remote Sensing, vol.5010, pp.3764-3775, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00753160
ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data, International Journal of Geographical Information Science, vol.246, pp.859-871, 2010. ,
Tree Covering within a Graph Kernel Framework for Shape Classification, Image Analysis and Processing, pp.278-287, 2009. ,
DOI : 10.1016/j.patcog.2006.07.009
Developing a semantic model of glacial landforms for object-based terrain classification?the example of glacial cirques, pp.1682-1777, 2010. ,
LIB- LINEAR: A library for large linear classification, Journal of Machine Learning Research, vol.9, pp.1871-1874, 2008. ,
A Combined Support Vector Machines Classification Based on Decision Fusion, 2006 IEEE International Symposium on Geoscience and Remote Sensing, pp.2494-2497, 2006. ,
DOI : 10.1109/IGARSS.2006.645
URL : https://hal.archives-ouvertes.fr/hal-00096345
A spatial-spectral kernelbased approach for the classification of remote-sensing images, Pattern Recognition, vol.451, pp.381-392, 2012. ,
Advances in Spectral-Spatial Classification of Hyperspectral Images, Proceedings of the IEEE, pp.652-675, 2013. ,
DOI : 10.1109/JPROC.2012.2197589
URL : https://hal.archives-ouvertes.fr/hal-00737075
Scalable kernels for graphs with continuous attributes, Advances in Neural Information Processing Systems. 2013, pp.216-224 ,
A survey of kernel and spectral methods for clustering, Pattern Recognition, vol.41, issue.1, pp.176-190, 2008. ,
DOI : 10.1016/j.patcog.2007.05.018
Characterizing structural relationships in scenes using graph kernels, In: ACM Transactions on Graphics, vol.30, issue.4, pp.34-45, 2011. ,
Knowledge-based region labeling for remote sensing image interpretation, Computers, Environment and Urban Systems, vol.36, issue.5, pp.470-480, 2012. ,
DOI : 10.1016/j.compenvurbsys.2012.01.003
The elements of statistical learning, 2001. ,
Optimal assignment kernels for attributed molecular graphs, Proceedings of the 22nd international conference on Machine learning , ICML '05, pp.225-232, 2005. ,
DOI : 10.1145/1102351.1102380
A survey of graph edit distance, Pattern Analysis and Applications, vol.72, issue.3, pp.113-129, 2010. ,
DOI : 10.1007/s10044-007-0087-5
Scale Space Graph Representation and Kernel Matching for Non Rigid and Textured 3D Shape Retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.38, issue.6, pp.1258-1271, 2016. ,
DOI : 10.1109/TPAMI.2015.2477823
A survey of kernels for structured data, ACM SIGKDD Explorations Newsletter, vol.5, issue.1, pp.49-58, 2003. ,
DOI : 10.1145/959242.959248
Graph Kernels, pp.129-143, 2003. ,
DOI : 10.1142/9789812814562_0005
Treelet kernel incorporating cyclic, stereo and inter pattern information in chemoinformatics, Pattern Recognition, vol.48, issue.2, pp.356-367, 2015. ,
DOI : 10.1016/j.patcog.2014.07.029
A Quasi-linear Algorithm to Compute the Tree of Shapes of nD Images, International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, pp.98-110, 2013. ,
DOI : 10.1007/978-3-642-38294-9_9
Automatic Spectral???Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction, IEEE Transactions on Geoscience and Remote Sensing, vol.52, issue.9, pp.5771-5782, 2014. ,
DOI : 10.1109/TGRS.2013.2292544
A Survey on Spectral???Spatial Classification Techniques Based on Attribute Profiles, IEEE Transactions on Geoscience and Remote Sensing, vol.53, issue.5, pp.2335-2353, 2015. ,
DOI : 10.1109/TGRS.2014.2358934
URL : https://hal.archives-ouvertes.fr/hal-01121495
Scene Classification Using Bag-of-Regions Representations, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007. ,
DOI : 10.1109/CVPR.2007.383375
Multimodal Classification of Remote Sensing Images: A Review and Future Directions, Proceedings of the IEEE, pp.1560-1584, 2015. ,
DOI : 10.1109/JPROC.2015.2449668
Multiple kernel learning algorithms, Journal of Machine Learning Research, vol.12, pp.2211-2268, 2011. ,
Kernels on bags for multi-object database retrieval, Proceedings of the 6th ACM international conference on Image and video retrieval, CIVR '07, pp.226-231, 2007. ,
DOI : 10.1145/1282280.1282317
Chemoinformatics and stereoisomerism: A stereo graph kernel together with three new extensions, Pattern Recognition Letters, vol.87, pp.222-230, 2016. ,
DOI : 10.1016/j.patrec.2016.06.025
Recognition using regions, IEEE Conference on Computer Vision and Pattern Recognition, pp.1030-1037, 2009. ,
Hierarchical data representation structures for interactive image information mining, International Journal of Image and Data Fusion, vol.2, issue.1, pp.221-241, 2012. ,
DOI : 10.1109/TIP.2007.909317
Efficient color histogram indexing for quadratic form distance functions, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.7, pp.729-736, 1995. ,
DOI : 10.1109/34.391417
Agreement Subtree Mapping Kernel for Phylogenetic Trees, In: New Frontiers in Artificial Intelligence, pp.321-336, 2014. ,
DOI : 10.1007/978-3-319-10061-6_21
Textural features for image classification, IEEE Transactions on Systems, Man, and Cybernetics, vol.36, pp.610-621, 1973. ,
Image Classification with Segmentation Graph Kernels, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007. ,
DOI : 10.1109/CVPR.2007.383049
URL : http://www.di.ens.fr/~fbach/harchaoui_bach_cvpr07.pdf
Convolution kernels on discrete structures. Tech. rep, 1999. ,
Texture unit, texture spectrum, and texture analysis, IEEE Transactions on Geoscience and Remote Sensing, vol.284, pp.509-512, 1990. ,
Multi-resolution classification of urban areas using hierarchical symmetric Markov mesh models, 2017 Joint Urban Remote Sensing Event (JURSE) ,
DOI : 10.1109/JURSE.2017.7924567
URL : https://hal.archives-ouvertes.fr/hal-01415568
Fusion of multitemporal and multiresolution remote sensing data and application to natural disasters, 2014 IEEE Geoscience and Remote Sensing Symposium, pp.207-210 ,
DOI : 10.1109/IGARSS.2014.6946393
URL : https://hal.archives-ouvertes.fr/hal-01022380
Mapping Kernels Between Rooted Labeled Trees Beyond Ordered Trees, In: New Frontiers in Artificial Intelligence, vol.9067, pp.317-330, 2015. ,
DOI : 10.1007/978-3-662-48119-6_24
Data structures and algorithms, 1983. ,
Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery, Remote Sensing, vol.9, issue.12, pp.14680-14707, 2015. ,
DOI : 10.1007/s11760-014-0704-x
A Comparative Study of Sampling Analysis in the Scene Classification of Optical High-Spatial Resolution Remote Sensing Imagery, Remote Sensing, vol.3, issue.12, pp.14988-15013, 2015. ,
DOI : 10.3390/rs5116026
Semisupervised classification of remote sensing images with hierarchical spatial similarity, IEEE Geoscience and Remote Sensing Letters, vol.121, pp.150-154, 2015. ,
Blocks That Shout: Distinctive Parts for Scene Classification, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.923-930, 2013. ,
DOI : 10.1109/CVPR.2013.124
Machine Learning Approaches for Structured Data, 2007. ,
Kernels for Semi-Structured Data, International Conference on Machine Learning, pp.291-298, 2002. ,
Marginalized kernels between labeled graphs, International Conference on Machine Learning, pp.321-328, 2003. ,
Fast computation of subpath kernel for trees, International Conference on Machine Learning. 2012, pp.393-400 ,
A subpath kernel for rooted unordered trees Advances in Knowledge Discovery and Data Mining, pp.62-74, 2011. ,
Higher-Order Occurrence Pooling for Bags-of-Words: Visual Concept Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.39, issue.2, pp.313-326, 2017. ,
DOI : 10.1109/TPAMI.2016.2545667
URL : https://hal.archives-ouvertes.fr/hal-01356149
Explicit Versus Implicit Graph Feature Maps: A Computational Phase Transition for Walk Kernels, 2014 IEEE International Conference on Data Mining, pp.881-886, 2014. ,
DOI : 10.1109/ICDM.2014.129
On valid optimal assignment kernels and applications to graph classification, Advances in Neural Information Processing Systems. 2016, pp.1615-1623 ,
A unifying view of explicit and implicit feature maps for structured data: systematic studies of graph kernels, 2017. ,
Extraction of complex patterns from multiresolution remote sensing images: A hierarchical top-down methodology, Pattern Recognition, vol.45, issue.2, pp.685-706, 2012. ,
DOI : 10.1016/j.patcog.2011.07.017
URL : https://hal.archives-ouvertes.fr/hal-01694409
Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.43, issue.2, pp.388-397, 2005. ,
DOI : 10.1109/TGRS.2004.841487
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), pp.2169-2178, 2006. ,
DOI : 10.1109/CVPR.2006.68
URL : https://hal.archives-ouvertes.fr/inria-00548585
Inexact graph matching based on kernels for object retrieval in image databases, Image and Vision Computing, vol.29, issue.11, pp.716-729, 2011. ,
DOI : 10.1016/j.imavis.2011.07.008
URL : https://hal.archives-ouvertes.fr/hal-00660300
Image retrieval with graph kernel on regions, 2008 19th International Conference on Pattern Recognition, pp.1-4, 2008. ,
DOI : 10.1109/ICPR.2008.4761190
URL : https://hal.archives-ouvertes.fr/hal-00520300
Region-Based Discriminative Feature Pooling for Scene Text Recognition, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.4050-4057, 2014. ,
DOI : 10.1109/CVPR.2014.516
URL : http://pages.ucsd.edu/%7Echl260/PDF/Lee_CVPR14.pdf
Hyperspectral image classification from multiscale description with constrained connectivity and metric learning, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2014. ,
DOI : 10.1109/WHISPERS.2014.8077559
Toward Seamless Multiview Scene Analysis From Satellite to Street Level, Proceedings of the IEEE, 2017. ,
DOI : 10.1109/JPROC.2017.2684300
Mismatch string kernels for SVM protein classification, Advances in Neural Information Processing Systems, pp.1441-1448, 2002. ,
Random Fourier Approximations for Skewed Multiplicative Histogram Kernels, Joint Pattern Recognition Symposium, pp.262-271, 2010. ,
DOI : 10.1007/978-3-642-15986-2_27
URL : http://sminchisescu.ins.uni-bonn.de/papers/lis_dagm10.pdf
Chebyshev approximations to the histogram ? 2 kernel, IEEE Conference on Computer Vision and Pattern Recognition, pp.2424-2431, 2012. ,
Geospatial big data handling theory and methods: A review and research challenges, ISPRS Journal of Photogrammetry and Remote Sensing, vol.115, pp.119-133, 2016. ,
DOI : 10.1016/j.isprsjprs.2015.10.012
Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.8, issue.6, pp.2984-2996, 2015. ,
DOI : 10.1109/JSTARS.2015.2420582
Class-Specific Sparse Multiple Kernel Learning for Spectral???Spatial Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol.54, issue.12, pp.7351-7365, 2016. ,
DOI : 10.1109/TGRS.2016.2600522
URL : https://hal.archives-ouvertes.fr/hal-01442591
A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis, ISPRS Journal of Photogrammetry and Remote Sensing, vol.63, issue.4, pp.461-475, 2008. ,
DOI : 10.1016/j.isprsjprs.2008.01.007
Randomized nonlinear component analysis, International Conference on Machine Learning, pp.1359-1367, 2014. ,
Distinctive image features from scale-invariant keypoints, In: International journal of Computer Vision, vol.602, pp.91-110, 2004. ,
Image categorization with spatial mismatch kernels, IEEE Conference on Computer Vision and Pattern Recognition, pp.397-404, 2009. ,
How to scale up kernel methods to be as good as deep neural nets, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01666934
Remote sensing big data computing: Challenges and opportunities, Future Generation Computer Systems, vol.51, pp.47-60, 2015. ,
DOI : 10.1016/j.future.2014.10.029
URL : http://repository.uwl.ac.uk/id/eprint/1732/1/fgcs2.pdf
Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol.55, issue.2, pp.645-657, 2017. ,
DOI : 10.1109/TGRS.2016.2612821
URL : https://hal.archives-ouvertes.fr/hal-01369906
Graph kernels based on tree patterns for molecules, Machine learning 75, pp.3-35, 2009. ,
DOI : 10.1017/CBO9780511809682
Evaluation of Spatial and Spectral Effectiveness of Pixel-Level Fusion Techniques, IEEE Geoscience and Remote Sensing Letters, vol.10, issue.3, pp.432-436, 2013. ,
DOI : 10.1109/LGRS.2012.2207944
A special issue on big data from space for geoscience and remote sensing, IEEE Geoscience and Remote Sensing Magazine, vol.43, pp.7-9, 2016. ,
Tree-Based Kernel for Graphs With Continuous Attributes, IEEE Transactions on Neural Networks and Learning Systems, 2015. ,
DOI : 10.1109/TNNLS.2017.2705694
A comparison of segmentation programs for high resolution remote sensing data, In: International Archives of Photogrammetry and Remote Sensing, vol.35, pp.1097-1105, 2004. ,
Classification of hyperspectral remote sensing images with support vector machines, IEEE Transactions on Geoscience and Remote Sensing, vol.428, pp.1778-1790, 2004. ,
Machine learning for aerial image labeling, 2013. ,
Classification of urban structural types with multisource data and structured models, 2015 Joint Urban Remote Sensing Event (JURSE), pp.1-4, 2015. ,
DOI : 10.1109/JURSE.2015.7120489
Faster Kernels for Graphs with Continuous Attributes via Hashing, 2016 IEEE 16th International Conference on Data Mining (ICDM), 2016. ,
DOI : 10.1109/ICDM.2016.0142
Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees, European Conference on Machine Learning, pp.318-329, 2006. ,
DOI : 10.1007/11871842_32
Land-Cover Mapping by Markov Modeling of Spatial???Contextual Information in Very-High-Resolution Remote Sensing Images, Proceedings of the IEEE, pp.631-651, 2013. ,
DOI : 10.1109/JPROC.2012.2211551
Support vector machines in remote sensing: A review, ISPRS Journal of Photogrammetry and Remote Sensing, vol.66, issue.3, pp.247-259, 2011. ,
DOI : 10.1016/j.isprsjprs.2010.11.001
Interferences in Match Kernels, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.39, issue.9, 2016. ,
DOI : 10.1109/TPAMI.2016.2615621
Generalized Max Pooling, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.2473-2480, 2014. ,
DOI : 10.1109/CVPR.2014.317
URL : http://arxiv.org/pdf/1406.0312
Building the Component Tree in Quasi-Linear Time, IEEE Transactions on Image Processing, vol.15, issue.11, pp.3531-3539, 2006. ,
DOI : 10.1109/TIP.2006.877518
URL : https://hal.archives-ouvertes.fr/hal-00622110
Evaluation of second-order visual features for land-use classification, 2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI), pp.1-5 ,
DOI : 10.1109/CBMI.2014.6849835
URL : https://hal.archives-ouvertes.fr/hal-01022971
Edit distance-based kernel functions for structural pattern classification, Pattern Recognition, vol.39, issue.10, pp.1852-1863, 2006. ,
DOI : 10.1016/j.patcog.2006.04.012
Propagation kernels: efficient graph kernels from propagated information, Machine Learning, vol.17, issue.NIPS???03, pp.209-245, 2016. ,
DOI : 10.1109/ICCV.2005.171
URL : https://link.springer.com/content/pdf/10.1007%2Fs10994-015-5517-9.pdf
Structured Learning and Prediction in Computer Vision, Foundations and Trends?? in Computer Graphics and Vision, vol.6, issue.3-4, pp.3-4, 2011. ,
DOI : 10.1561/0600000033
Modeling the shape of the scene: A holistic representation of the spatial envelope, International Journal of Computer Vision, vol.423, pp.145-175, 2001. ,
Pattern spectra from partition pyramids and hierarchies, International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, pp.108-119, 2011. ,
The Importance of Physical Quantities for the Analysis of Multitemporal and Multiangular Optical Very High Spatial Resolution Images, IEEE Transactions on Geoscience and Remote Sensing, vol.52, issue.10, pp.6241-6256, 2014. ,
DOI : 10.1109/TGRS.2013.2295819
Random forest classifier for remote sensing classification, International Journal of Remote Sensing, vol.20, issue.1, pp.217-222, 2005. ,
DOI : 10.1016/S0034-4257(03)00132-9
SVM Active Learning Approach for Image Classification Using Spatial Information, IEEE Transactions on Geoscience and Remote Sensing, vol.52, issue.4, pp.2217-2233, 2014. ,
DOI : 10.1109/TGRS.2013.2258676
A Novel Technique for Optimal Feature Selection in Attribute Profiles Based on Genetic Algorithms, IEEE Transactions on Geoscience and Remote Sensing, vol.51, issue.6, pp.3514-3528, 2013. ,
DOI : 10.1109/TGRS.2012.2224874
URL : https://hal.archives-ouvertes.fr/hal-00944228
Comparative study of global color and texture descriptors for web image retrieval, Journal of Visual Communication and Image Representation, vol.232, pp.359-380, 2012. ,
Improving the Fisher Kernel for Large-Scale Image Classification, Proceedings of the European Conference on Computer Vision, pp.143-156, 2010. ,
DOI : 10.1007/978-3-642-15561-1_11
URL : https://hal.archives-ouvertes.fr/inria-00548630
Large-scale image categorization with explicit data embedding, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.2297-2304, 2010. ,
DOI : 10.1109/CVPR.2010.5539914
Multi-class image segmentation using conditional random fields and global classification, Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, pp.817-824, 2009. ,
DOI : 10.1145/1553374.1553479
URL : http://www.cs.mcgill.ca/~icml2009/papers/351.pdf
Recent advances in techniques for hyperspectral image processing, Remote Sensing of Environment, vol.113, pp.113-110, 2009. ,
DOI : 10.1016/j.rse.2007.07.028
URL : https://hal.archives-ouvertes.fr/hal-00178888
Urban ontology for semantic interpretation of multi-source images " . In: 2nd Workshop Ontologies for Urban Development: Conceptual Models for Practitioners, 2007. ,
URL : https://hal.archives-ouvertes.fr/hal-01463173
Spatial relationship-assisted classification from high-resolution remote sensing imagery, International Journal of Digital Earth, vol.60, issue.6, pp.710-726, 2015. ,
DOI : 10.1109/TGRS.2006.876704
Random features for large-scale kernel machines, Advances in Neural Information Processing Systems, pp.1177-1184, 2007. ,
Weighted sums of random kitchen sinks: Replacing minimization with randomization in learning, Advances in Neural Information Processing Systems, pp.1313-1320, 2009. ,
Figure-ground segmentation using a hierarchical conditional random field, Fourth Canadian Conference on Computer and Robot Vision (CRV '07), pp.175-182, 2007. ,
DOI : 10.1109/CRV.2007.32
Learning string-edit distance, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.205, pp.522-532, 1998. ,
Binary partition tree as an efficient representation for image processing, segmentation, and information retrieval, IEEE Transactions on Image Processing, vol.9, issue.4, pp.561-576, 2000. ,
DOI : 10.1109/83.841934
An Overview and Comparison of Smooth Labeling Methods for Land-Cover Classification, IEEE Transactions on Geoscience and Remote Sensing, vol.50, issue.11, pp.4534-4545, 2012. ,
DOI : 10.1109/TGRS.2012.2192741
Kernel methods for pattern analysis, 2004. ,
DOI : 10.1017/CBO9780511809682
Efficient graphlet kernels for large graph comparison, International Conference on Artificial Intelligence and Statistics, pp.488-495, 2009. ,
A Comprehensive Study of Tree Kernels, In: New Frontiers in Artificial Intelligence, pp.337-351, 2014. ,
DOI : 10.1007/978-3-319-10061-6_22
A generalization of Haussler's convolution kernel, Proceedings of the 25th international conference on Machine learning, ICML '08, pp.944-951, 2008. ,
DOI : 10.1145/1390156.1390275
Object-based gully feature extraction using high spatial resolution imagery, pp.260-268, 2011. ,
Learning kernels with random features, Advances In Neural Information Processing Systems. 2016, pp.1298-1306 ,
DOI : 10.1111/cgf.12264
Texture analysis of SAR sea ice imagery using gray level co-occurrence matrices, IEEE Transactions on Geoscience and Remote Sensing, vol.37, issue.2, pp.780-795, 1999. ,
DOI : 10.1109/36.752194
Constrained connectivity for hierarchical image partitioning and simplification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.7, pp.1132-1145, 2008. ,
DOI : 10.1109/TPAMI.2007.70817
A Markov random field model for classification of multisource satellite imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.341, pp.100-113, 1996. ,
A walk-based semantically enriched tree kernel over distributed word representations, Conference on Empirical Methods in Natural Language Processing. 2013, pp.1411-1416 ,
A bayesian approach to classification of multiresolution remote sensing data, IEEE Transactions on Geoscience and Remote Sensing, vol.43, issue.3, pp.539-547, 2005. ,
DOI : 10.1109/TGRS.2004.841395
Pedestrian detection using stereo-vision and graph kernels, IEEE Proceedings. Intelligent Vehicles Symposium, 2005., pp.267-272, 2005. ,
DOI : 10.1109/IVS.2005.1505113
URL : http://suard.frederic.free.fr/public/publis/05_iv_fsuard_pedestrian_detection.pdf
Kernel on Bag of Paths For Measuring Similarity of Shapes, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, pp.355-360, 2007. ,
Object Categorization Using Kernels Combining Graphs and Histograms of Gradients, pp.23-34, 2006. ,
DOI : 10.1007/11867661_3
On the error of random Fourier features, 2015. ,
Visual category recognition using Spectral Regression and Kernel Discriminant Analysis, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, pp.178-185, 2009. ,
DOI : 10.1109/ICCVW.2009.5457703
URL : http://www.science.uva.nl/research/publications/2009/TahirICCVSM2009/TahirICCVSubspace2009.pdf
The Tree-to-Tree Correction Problem, Journal of the ACM, vol.26, issue.3, pp.422-433, 1979. ,
DOI : 10.1145/322139.322143
Spectral???Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques, IEEE Transactions on Geoscience and Remote Sensing, vol.47, issue.8, pp.2973-2987, 2009. ,
DOI : 10.1109/TGRS.2009.2016214
URL : https://hal.archives-ouvertes.fr/hal-00449437
SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images, IEEE Geoscience and Remote Sensing Letters, pp.736-740, 2010. ,
DOI : 10.1109/LGRS.2010.2047711
URL : https://hal.archives-ouvertes.fr/hal-00578864
Image segmentation by region growing and spectral clustering with a natural convergence criterion, IEEE International Geoscience and Remote Sensing Symposium, pp.1766-1768, 1998. ,
To Aggregate or Not to aggregate: Selective Match Kernels for Image Search, 2013 IEEE International Conference on Computer Vision, pp.1401-1408 ,
DOI : 10.1109/ICCV.2013.177
URL : https://hal.archives-ouvertes.fr/hal-00864684
Polynomial-time metrics for attributed trees, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.277, pp.1087-1099, 2005. ,
DOI : 10.1109/tpami.2005.146
URL : http://www.dsi.unive.it/~atorsell/cs-2003-19.pdf
Learning Relevant Image Features With Multiple-Kernel Classification, IEEE Transactions on Geoscience and Remote Sensing, vol.48, issue.10, pp.3780-3791, 2010. ,
DOI : 10.1109/TGRS.2010.2049496
Multiclass feature learning for hyperspectral image classification: Sparse and hierarchical solutions, ISPRS Journal of Photogrammetry and Remote Sensing, vol.105, pp.272-285, 2015. ,
DOI : 10.1016/j.isprsjprs.2015.01.006
URL : https://hal.archives-ouvertes.fr/hal-01103078
2017 IEEE GRSS Data Fusion Contest: Open Data for Global Multimodal Land Use Classification [Technical Committees], IEEE Geoscience and Remote Sensing Magazine, vol.5, issue.1, pp.70-73, 2017. ,
DOI : 10.1109/MGRS.2016.2645380
Structured output SVM for remote sensing image classification, Journal of signal processing systems, vol.653, pp.301-310, 2011. ,
Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances, IEEE Geoscience and Remote Sensing Magazine, vol.4, issue.2, pp.41-57, 2016. ,
DOI : 10.1109/MGRS.2016.2548504
Active Learning Methods for Remote Sensing Image Classification, IEEE Transactions on Geoscience and Remote Sensing, vol.47, issue.7, pp.2218-2232, 2009. ,
DOI : 10.1109/TGRS.2008.2010404
Multisource Composite Kernels for Urban-Image Classification, IEEE Geoscience and Remote Sensing Letters, vol.7, issue.1, pp.88-92, 2010. ,
DOI : 10.1109/LGRS.2009.2015341
Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM, IEEE Transactions on Geoscience and Remote Sensing, vol.52, issue.10, pp.6062-6074, 2014. ,
DOI : 10.1109/TGRS.2013.2294724
URL : https://hal.archives-ouvertes.fr/hal-00880980
Getting pixels and regions to agree with conditional random fields, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp.3290-3293 ,
DOI : 10.1109/IGARSS.2016.7729851
Hyperspectral Image Representation and Processing With Binary Partition Trees, IEEE Transactions on Image Processing, vol.22, issue.4, pp.1430-1443, 2013. ,
DOI : 10.1109/TIP.2012.2231687
URL : https://hal.archives-ouvertes.fr/hal-00798351
Efficient additive kernels via explicit feature maps, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.343, pp.480-492, 2012. ,
DOI : 10.1109/cvpr.2010.5539949
URL : http://eprints.pascal-network.org/archive/00006964/01/vedaldi10.pdf
The optimal assignment kernel is not positive definite, 2008. ,
URL : https://hal.archives-ouvertes.fr/hal-00218278
High-level feature extraction using SVM with walk-based graph kernel, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.1121-1124, 2009. ,
DOI : 10.1109/ICASSP.2009.4959785
Graph kernels, Journal of Machine Learning Research, vol.11, pp.1201-1242, 2010. ,
Fast kernels for string and tree matching, In: Kernel Methods in Computational Biology, pp.113-130, 2004. ,
Supervised Classification of Multisensor and Multiresolution Remote Sensing Images With a Hierarchical Copula-Based Approach, IEEE Transactions on Geoscience and Remote Sensing, vol.52, issue.6, pp.3346-3358, 2014. ,
DOI : 10.1109/TGRS.2013.2272581
URL : https://hal.archives-ouvertes.fr/hal-00841234
Semantic segmentation of urban scenes by learning local class interactions, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp.1-9 ,
DOI : 10.1109/CVPRW.2015.7301377
Fusion of Support Vector Machines for Classification of Multisensor Data, IEEE Transactions on Geoscience and Remote Sensing, vol.45, issue.12, pp.3858-3866, 2007. ,
DOI : 10.1109/TGRS.2007.898446
Multiresolution Remote Sensing Image Clustering, IEEE Geoscience and Remote Sensing Letters, vol.6, issue.3, pp.533-537, 2009. ,
DOI : 10.1109/LGRS.2009.2020825
URL : https://hal.archives-ouvertes.fr/halshs-00520632
Semi-supervised protein classification using cluster kernels, Bioinformatics, vol.16, issue.1, pp.3241-3247, 2005. ,
DOI : 10.1016/0022-2836(81)90087-5
URL : https://academic.oup.com/bioinformatics/article-pdf/21/15/3241/6236917/bti497.pdf
Results and implications of a study of fifteen years of satellite image classification experiments, IEEE Transactions on Geoscience and Remote Sensing, vol.433, pp.433-440, 2005. ,
Linear spatial pyramid matching using sparse coding for image classification, IEEE Conference on Computer Vision and Pattern Recognition, pp.1794-1801, 2009. ,
Quasi-Monte Carlo feature maps for shift-invariant kernels, International Conference on Machine Learning, pp.485-493, 2014. ,
A hierarchical conditional random field model for labeling and classifying images of man-made scenes, IEEE International Conference on Computer Vision Workshops, pp.196-203, 2011. ,
Nyström method vs random fourier features: A theoretical and empirical comparison, Advances in Neural Information Processing Systems. 2012, pp.476-484 ,
Bag-of-visual-words and spatial extensions for land-use classification, Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS '10, pp.270-279, 2010. ,
DOI : 10.1145/1869790.1869829
Spatial pyramid co-occurrence for image classification, 2011 International Conference on Computer Vision, pp.1465-1472, 2011. ,
DOI : 10.1109/ICCV.2011.6126403
Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation, IEEE Conference on Computer Vision and Pattern Recognition, pp.702-709, 2012. ,
A Color-Texture-Structure Descriptor for High-Resolution Satellite Image Classification, Remote Sensing, vol.98, issue.12, 2016. ,
DOI : 10.1109/TPAMI.2012.120
Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study, International Journal of Computer Vision, vol.36, issue.1, pp.213-238, 2007. ,
DOI : 10.1007/s11263-006-9794-4
URL : https://hal.archives-ouvertes.fr/inria-00548574
Multi-source remote sensing data fusion: status and trends, International Journal of Image and Data Fusion, vol.70, issue.1, pp.5-24, 2010. ,
DOI : 10.14358/PERS.70.12.1433
URL : http://www.tandfonline.com/doi/pdf/10.1080/19479830903561035?needAccess=true
Semantic role labeling using a grammar-driven convolution tree kernel, IEEE Transactions on Audio, Speech, and Language Processing, vol.167, pp.1315-1329, 2008. ,
High-resolution remote-sensing image classification via an approximate earth mover's distance-based bag-of-features model ,
A spectral???structural bag-of-features scene classifier for very high spatial resolution remote sensing imagery, ISPRS Journal of Photogrammetry and Remote Sensing, vol.116, pp.73-85, 2016. ,
DOI : 10.1016/j.isprsjprs.2016.03.004