This paper addresses the land cover classification task for remote sensing images by deep self-taugh
Abstract Hyperspectral images comprise many continuous bands in narrow wavelengt
Remote sensing-based crop classification for sustainable agriculture in Sudan Poster presented at the Deep Learning Indaba 2022 by Abrar Elidrisi
Employing deep neural networks for Hyperspectral remote sensing (HSRS) image classification is a cha
Background: Urbanization is an important indicator of economic growth and socia
Agriculture is a vital pillar of Algeria’s economic development and a fundamental contributor to the