.. .. Research-summary,

. .. Evaluation, 213 7.2.2 Propositions concerning the dataset on which SAR ATR methods are evaluated

, Application of classification methods from the optical to the SAR domain215 7.3.1 Visual feature classification

, Influence of the acquisition environment on the classification scores, p.217

, In order to be able to evaluate the performance of SAR ATR algorithms properly, datasets for evaluation are presented in Chapter 2. Then, various SAR ATR methods are tested with the implementation of feature-based classification in Chapter 4 followed by the implementation of a deep learning method taking into account the target orientation issue of SAR in Chapter, The main objective of this work is to develop novel techniques to perform SAR ATR

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