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High-resolution land cover mapping plays a crucial role in addressing a wide range of global challenges, including urban planning, environmental monitoring, disaster response, and sustainable development.
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X. Li, G. Zhang, H. Cui, S. Hou, S. Wang, X. Li, Y. Chen, Z. Li, and L. Zhang, “Mcanet: A joint semantic segmentation framework of optical and SAR images for land use classification,” International Journal of Applied Earth Observation and Geoinformation , vol. 106, p. 102638, 2022
2022
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P. Zhang, H. Xu, T. Tian, P. Gao, L. Li, T. Zhao, N. Zhang, and J. Tian, “Sefepnet: Scale expansion and feature enhancement pyramid network for SAR aircraft detection with small sample dataset,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol. 15, pp. 3365–3375, 2022
2022
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2023
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2023
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2023
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2024
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2024
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N. Yokoya, J. Xia, and C. Broni-Bediako, “Submeter-level land cover mapping of japan,” International Journal of Applied Earth Observation and Geoinformation , vol. 127, p. 103660, 2024
2024
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C. Broni-Bediako, J. Xia, J. Song, H. Chen, M. Siam, and N. Yokoya, “Generalized few-shot semantic segmentation in remote sensing: Challenge and benchmark,” IEEE Geoscience and Remote Sensing Letters , pp. 1–5, 2024
2024
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H. Chen, C. Lan, J. Song, C. Broni-Bediako, J. Xia, and N. Yokoya, “ObjFormer: Learning Land-Cover Changes From Paired OSM Data and Optical High-Resolution Imagery via Object-Guided Transformer,” IEEE Transactions on Geoscience and Remote Sensing , vol. 62, pp. 1–22, 2024
2024
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2024
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2025
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