Laser & Optoelectronics Progress, Volume. 62, Issue 10, 1028004(2025)
Remote-Sensing Image-Change Detection Based on Depth-Information Fusion
[1] Liu Q, Cao L, Tian S et al. Structure-aware multiscale hybrid network for change detection of remote sensing images[J]. Laser & Optoelectronics Progress, 61, 1428008(2024).
[5] Liu Y, Guo H T, Lu J et al. Remote sensing image change detection method based on adaptive boundary sensing[J]. Acta Optica Sinica, 44, 1828001(2024).
[6] Yao Q F, Ning Y X, Du S W. Change detection of optical and synthetic aperture radar remote sensing images based on a domain adaptive neural network[J]. Laser & Optoelectronics Progress, 61, 1828001(2024).
[9] Gu L, Xu S Q, Zhu L Q. Detection of building changes in remote sensing images via FlowS-Unet[J]. Acta Automatica Sinica, 46, 1291-1300(2020).
[22] Rahaman N, Baratin A, Arpit D et al. On the spectral bias of neural networks[C], 5301-5310(2019).
[25] Jähne B[M]. Digital image processing(2005).
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Jingyu Yang, Yahui An, Jianwu Dang, Feng Wang, Jiuyuan Huo. Remote-Sensing Image-Change Detection Based on Depth-Information Fusion[J]. Laser & Optoelectronics Progress, 2025, 62(10): 1028004
Category: Remote Sensing and Sensors
Received: Sep. 24, 2024
Accepted: Nov. 26, 2024
Published Online: May. 8, 2025
The Author Email: Jingyu Yang (yangjy@mail.lzjtu.cn)
CSTR:32186.14.LOP242039