Acta Optica Sinica, Volume. 45, Issue 6, 0628008(2025)
Dense Hybrid Attention Network for Remote Sensing Building Change Detection
[2] Du P J, Wang X, Meng Y P et al. Effective change detection approaches for geographic national condition monitoring and land cover map updating[J]. Journal of Geo-Information Science, 22, 857-866(2020).
[4] Shi W Z, Zhang P L. State-of-the-art remotely sensed images-based change detection methods[J]. Geomatics and Information Science of Wuhan University, 43, 1832-1837(2018).
[8] Huang P, Zheng Q, Liang C. Overview of image segmentation methods[J]. Journal of Wuhan University (Natural Science Edition), 66, 519-531(2020).
[9] Liu X G, Li M M, Wang X Q et al. Use of object-based Siamese neural network to build change detection from very high resolution remote-sensing images[J]. Journal of Remote Sensing, 28, 437-454(2024).
[10] Liang Z H, Li X, Deng P et al. Remote sensing image change detection fusion method integrating multi-scale feature attention[J]. Acta Geodaetica et Cartographica Sinica, 51, 668-676(2022).
[18] Wang C, Wang S, Chen X et al. Object-level change detection of multi-sensor optical remote sensing images combined with UNet++ and multi-level difference module[J]. Acta Geodaetica et Cartographica Sinica, 52, 283-296(2023).
[19] Jiang M, Zhang X C, Sun Y et al. Full-scale feature aggregation network for high-resolution remote sensing image change detection[J]. Acta Geodaetica et Cartographica Sinica, 52, 1738-1748(2023).
[22] Zhang J B, Yan Z X, Ma S F. Multi-scale cross dual attention network for building change detection in remote sensing images[J]. Journal of Geo-Information Science, 25, 2487-2500(2023).
[25] 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).
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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
Category: Remote Sensing and Sensors
Received: Aug. 16, 2024
Accepted: Sep. 30, 2024
Published Online: Mar. 17, 2025
The Author Email: Tian Qinglin (736924158@qq.com)
CSTR:32393.14.AOS241436