ARE-Net: An Improved Interactive Model for Accurate Building Extraction in High-Resolution Remote Sensing Imagery

Accurate building extraction for high-resolution remote sensing images is critical for topographic mapping, urban planning, and many other applications. Its main task is to label each pixel point as a building or non-building. Although deep-learning-based algorithms have significantly enhanced the a...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Qian Weng, Qin Wang, Yifeng Lin, Jiawen Lin
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2023-09-01
Schriftenreihe:	Remote Sensing
Schlagworte:	interactive building extraction adaptive-radius encoding two-stage training remote sensing
Online-Zugang:	https://www.mdpi.com/2072-4292/15/18/4457
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