RURAL SETTLEMENTS SEGMENTATION BASED ON DEEP LEARNING U-NET USING REMOTE SENSING IMAGES

RURAL SETTLEMENTS SEGMENTATION BASED ON DEEP LEARNING U-NET USING REMOTE SENSING IMAGES

Accurate and efficient extraction of rural settlements from high-resolution remote sensing imagery is of paramount importance for rural government management. Unplanned rural settlements are quite common. Understanding the spatial characteristic of these rural settlements is of great importance as i...

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Bibliographic Details
Main Authors:	Z. Aamir, M. Seddouki, O. Himmy, M. Maanan, M. Tahiri, H. Rhinane
Format:	Article
Language:	English
Published:	Copernicus Publications 2023-02-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVIII-4-W6-2022/1/2023/isprs-archives-XLVIII-4-W6-2022-1-2023.pdf

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