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Proceedings Paper

The edge detection of hyperspectral image based on its proportion image
Author(s): Yanjun Gong; Dongmei Bi
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Paper Abstract

Intensity-based edge detectors cannot distinguish whether an edge is caused by material changes. Therefore, our aim is to classify the physical cause of an edge using hyperspectral obtained by a spectrograph. A method is presented to detect edges in hyperspectral images. Analyzing proportion images of a hyperspectral image, we implement edge detection of the hyperspectral image by using its proportion images. In edge part of hyperspectral image, the endmembers proportion of mixed pixels is very small value. Edge detection can be implemented through these the distinctness of endmember proportion in edge part. The method of edge detection is called edge detection based proportion image about hyperspectral images.

Paper Details

Date Published: 11 January 2007
PDF: 6 pages
Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62792S (11 January 2007); doi: 10.1117/12.725450
Show Author Affiliations
Yanjun Gong, Hunan Univ. of Science and Engineering (China)
Xidian Univ. (China)
Dongmei Bi, Chang Chun Univ. (China)

Published in SPIE Proceedings Vol. 6279:
27th International Congress on High-Speed Photography and Photonics
Xun Hou; Wei Zhao; Baoli Yao, Editor(s)

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