HR-Mamba: Building Footprint Segmentation with Geometry-Driven Boundary Regularization

Building extraction underpins land-use assessment, urban planning, and disaster mitigation, yet dense urban scenes still cause missed small objects, target adhesion, and ragged contours. We present High-Resolution-Mamba (HR-Mamba), a high-resolution semantic segmentation network that augments a High...

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Podrobná bibliografie

Hlavní autoři:	Buyu Su, Defei Yin, Piyuan Yi, Wenhuan Wu, Junjian Liu, Fan Yang, Haowei Mu, Jingyi Xiong
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-01-01
Edice:	Sensors
Témata:	HR-Mamba Mamba-SSM geometry-driven post-processing building semantic segmentation high-resolution remote sensing
On-line přístup:	https://www.mdpi.com/1424-8220/26/2/352
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