OSHFNet: A heterogeneous dual-branch dynamic fusion network of optical and SAR images for land use classification

Optical and synthetic aperture radar (SAR) images are two of the most widely used remote sensing data sources, providing complementary but structurally consistent information. This complementarity has inspired significant research on their fusion. However, due to the huge difference in image represe...

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Bibliographic Details
Main Authors: Chenfang Liu, Yuli Sun, Xianghui Zhang, Yanjie Xu, Lin Lei, Gangyao Kuang
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:International Journal of Applied Earth Observations and Geoinformation
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Online Access:http://www.sciencedirect.com/science/article/pii/S1569843225002560
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