MBS-net: a multi-scale attention network for semantic segmentation of high-resolution remote sensing images

Semantic segmentation of high-resolution remote sensing imagery (RSI) is essential for applications such as land-cover mapping, urban monitoring, and disaster assessment, yet it remains challenging due to complex backgrounds, high inter-class similarity, and large object-scale variation. We propose...

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Principais autores:	Zhiwei Lin, Shaoqun Qi, Luhe Wan, Chunlong Du, Yin Chen, Xiaona Yu, Ling Zhu
Format:	Artigo
Jezik:	Inglês
Izdano:	Taylor & Francis Group 2026-12-01
Serija:	European Journal of Remote Sensing
Teme:	High-resolution remote sensing images multi-scale attention fine-scale edge attention edge refinement encoder-decoder architecture small object detection
Online dostop:	https://www.tandfonline.com/doi/10.1080/22797254.2026.2696956
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