A novel unsupervised binary change detection method for VHR optical remote sensing imagery over urban areas-Reference-Cited by-同舟云学术

A novel unsupervised binary change detection method for VHR optical remote sensing imagery over urban areas

Published:2022-04 Issue: Volume:108 Page:102749
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Fang Hong,Du Peijun,Wang Xin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference48 articles.

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5. DSA-Net: A novel deeply supervised attention-guided network for building change detection in high-resolution remote sensing images;Ding;Int. J. Appl. Earth Obs. Geoinf.,2021

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