Multi-Resolution Supervision Network with an Adaptive Weighted Loss for Desert Segmentation

Multi-Resolution Supervision Network with an Adaptive Weighted Loss for Desert Segmentation

Desert segmentation of remote sensing images is the basis of analysis of desert area. Desert images are usually characterized by large image size, large-scale change, and irregular location distribution of surface objects. The multi-scale fusion method is widely used in the existing deep learning se...

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Bibliographic Details
Main Authors: Lexuan Wang, Liguo Weng, Min Xia, Jia Liu, Haifeng Lin
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Remote Sensing
Subjects:
multi-resolution supervision
adaptive weighted loss
multi-scale
fusion
deep learning
Online Access:https://www.mdpi.com/2072-4292/13/11/2054

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