Fiala, ChahrazedDaamouche, Abdelhamid2024-06-032024-06-03202410.1109/M2GARSS57310.2024.10537332https://ieeexplore.ieee.org/document/10537332https://dspace.univ-boumerdes.dz/handle/123456789/14068This paper investigates the contribution of SIFT and Gabor features in the classification of a VHR Image, focusing on the Infrared and RGB channels. The assessment of the classification scheme is conducted by the SVM classifier, and the comparison using the average accuracy as a metric reveals that the infrared channel improves the performance of the classification scheme.enSIFTGABOR featuresInfrared channelVHR imageSVMArticle