Comparison of Semantic Classification Algorithms on SAR Images

Abstract

The improvements in SAR systems lead to obtain higher resolution images and consequently to increase the need for semantic classification of these images. In this paper, approximate sparse multinomial logistic regression (ASMLR) method is proposed for semantic classification of SAR images. Real SAR images are patch-based semantically classified using different feature extraction and classification methods and the classification performances are compared.