Deep Hybrid Network for Land Cover Semantic Segmentation in High-Spatial Resolution Satellite Images

Deep Hybrid Network for Land Cover Semantic Segmentation in High-Spatial Resolution Satellite Images

Land cover semantic segmentation in high-spatial resolution satellite images plays a vital role in efficient management of land resources, smart agriculture, yield estimation and urban planning. With the recent advancement in remote sensing technologies, such as satellites, drones, UAVs, and airborn...

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Bibliographic Details
Main Authors:	Sultan Daud Khan, Louai Alarabi, Saleh Basalamah
Format:	Article
Language:	English
Published:	MDPI AG 2021-05-01
Series:	Information
Subjects:	land cover classification remote sensing semantic segmentation deep learning
Online Access:	https://www.mdpi.com/2078-2489/12/6/230

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