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Proceedings Paper

Classification of hyperspectral data in urban areas
Author(s): Bing Zhang; Jiangui Liu; Xiangjun Wang; Changshan Wu
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Paper Abstract

A new method for classifying hyperspectral remote sensing data in urban area is described in this paper, that combines the edge detection and spectral analysis together. Due to the varied surface scene in city and limitation of imaging spectrometer's signal-to-noise ratio, normal classification based on pixels were not satisfied for thematic classification and mapping in urban area. This technique will improve such situation, which perform every classes with not only their similar spectral features but also the object's geometric and edge characters.

Paper Details

Date Published: 17 August 1998
PDF: 4 pages
Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); doi: 10.1117/12.317797
Show Author Affiliations
Bing Zhang, Institute of Remote Sensing Applications (China)
Jiangui Liu, Institute of Remote Sensing Applications (China)
Xiangjun Wang, Institute of Remote Sensing Applications (United States)
Changshan Wu, Institute of Remote Sensing Applications (China)


Published in SPIE Proceedings Vol. 3502:
Hyperspectral Remote Sensing and Application
Robert O. Green; Qingxi Tong, Editor(s)

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