Unsupervised Detection of Built-Up Areas From Multiple High-Resolution Remote Sensing Images

Given a set of high-resolution remote sensing images covering different scenes, we propose an unsupervised approach to simultaneously detect possible built-up areas from them. The motivation behind is that the frequently recurring appearance patterns or repeated textures corresponding to common obje...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2013-11, Vol.10 (6), p.1300-1304
Hauptverfasser:	Tao, Chao, Tan, Yihua, Zou, Zheng-rong, Tian, Jinwen
Format:	Artikel
Sprache:	eng
Schlagworte:	Built-up area detection Clustering algorithms corner detector Detectors Feature extraction graph cut high-resolution remote sensing image Histograms Reliability Remote sensing Satellites spectrum clustering
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