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.
Sift and Gabor Features for Very High Resolution Image Classification
(Institute of Electrical and Electronics Engineers, 2020) Fiala, C.; Daamouche, Abdelhamid
this paper presents a new approach to extract features from high resolution images inspired by the sift descriptor and gabor features. both of these two methods are powerful when used separately or together in region-based or pixel-based classification, they brought a high accuracy. our approach was applied to classify two very high resolution images of boumerdes (algeria) and djeddah (ksa) using knn and svm. the obtained results achieved promising performance compared to using spectral information alone