Communications Internationales

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    SIFT and Gabor Based Features Extraction Method Applied to the Infrared VHR Image of Boumerdes
    (Institute of Electrical and Electronics Engineers, 2024) Fiala, Chahrazed; Daamouche, Abdelhamid
    This 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.