Acta Optica Sinica, Volume. 45, Issue 6, 0628008(2025)

Dense Hybrid Attention Network for Remote Sensing Building Change Detection

Qinglin Tian1、*, Donghua Lu1, Yao Li2, and Chengkai Pei1
Author Affiliations
  • 1National Key Laboratory of Uranium Resources Exploration-Mining and Nuclear Remote Sensing, Beijing Research Institute of Uranium Geology, Beijing 100029, China
  • 2School of Geographical Sciences, Southwest University, Chongqing 400715, China
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    Qinglin Tian, Donghua Lu, Yao Li, Chengkai Pei. Dense Hybrid Attention Network for Remote Sensing Building Change Detection[J]. Acta Optica Sinica, 2025, 45(6): 0628008

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Aug. 16, 2024

    Accepted: Sep. 30, 2024

    Published Online: Mar. 17, 2025

    The Author Email: Qinglin Tian (736924158@qq.com)

    DOI:10.3788/AOS241436

    CSTR:32393.14.AOS241436

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