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Détection automatique de cibles dans des fonds complexes. Pour des images ou séquences d'images

Abstract : During this PHD, we developped an detection algorithm. Our principal objective was to detect small targets in a complex background like clouds for example.For this, we used the spatial covariate structure of the real images.First, we developped a collection of models for this covariate structure. Then, we selected a special model in the previous collection. Once the model selected, we applied the likelihood ratio test to detect the potential targets.We finally studied the performances of our algorithm by testing it on simulated and real images.
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Solenne Thivin. Détection automatique de cibles dans des fonds complexes. Pour des images ou séquences d'images. Statistiques [math.ST]. Université Paris-Saclay, 2015. Français. ⟨NNT : 2015SACLS235⟩. ⟨tel-01296615⟩

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