New shadow detection and removal approach to improve neural stereo correspondence of dense urban VHR remote sensing images

Ehlem ZighLaboratory of research in applied ICT (LARATIC), National Institute of Telecommunications and Information Technologies and Communications, B.P 1518, el M'naouer, Route de sénia, 31000, Oran, AlgeriaCorrespondence[email protected]

Mohammed Faouzi BelbachirUniversity of Sciences and The Technologies of Oran Mohamed Boudiaf USTOMB, B.P 1505, El M'naouer, Bir el djir, 31000, Oran, Algeria

Mohammed KadiriUniversity Mustapha Stambouli, 29000, Mascara, Algeria

Mohammed DjebbouriUniversity Djillali Liabès, 22000, Sidi-Bel-Abbes, Algeria

Belkacem KouninefLaboratory of research in applied ICT (LARATIC), National Institute of Telecommunications and Information Technologies and Communications, B.P 1518, el M'naouer, Route de sénia, 31000, Oran, Algeria

New shadow detection and removal approach to improve neural stereo correspondence of dense urban VHR remote sensing images

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New shadow detection and removal approach to improve neural stereo correspondence of dense urban VHR remote sensing images

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