Research Progress of Remote Sensing Change Detection based on Deep Learning: Pixel-level, Object-level, and Scene-level

DU Peijun; FANG Hong; GUO Shanchuan; YANG Chenghan; TANG Pengfei

doi:10.11873/j.issn.1004-0323.2025.4.0783

Remote Sensing Technology and Application, Volume. 40, Issue 4, 783(2025)

Research Progress of Remote Sensing Change Detection based on Deep Learning: Pixel-level, Object-level, and Scene-level

DU Peijun^1,2,3、*, FANG Hong^1,2,3, GUO Shanchuan^1,2,3, YANG Chenghan^1,2,3, and TANG Pengfei^1,2,3

Author Affiliations

¹School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China

²Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, Nanjing 210023, China

³Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China

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DU Peijun, FANG Hong, GUO Shanchuan, YANG Chenghan, TANG Pengfei. Research Progress of Remote Sensing Change Detection based on Deep Learning: Pixel-level, Object-level, and Scene-level[J]. Remote Sensing Technology and Application, 2025, 40(4): 783

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Paper Information

Received: Jan. 2, 2025

Accepted: Aug. 26, 2025

Published Online: Aug. 26, 2025

The Author Email: DU Peijun (peijun@nju.edu.cn)

DOI:10.11873/j.issn.1004-0323.2025.4.0783

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