Paper
11 January 2007 The edge detection of hyperspectral image based on its proportion image
Yanjun Gong, Dongmei Bi
Author Affiliations +
Proceedings Volume 6279, 27th International Congress on High-Speed Photography and Photonics; 62792S (2007) https://doi.org/10.1117/12.725450
Event: 27th International congress on High-Speed Photography and Photonics, 2006, Xi'an, China
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanjun Gong and Dongmei Bi "The edge detection of hyperspectral image based on its proportion image", Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62792S (11 January 2007); https://doi.org/10.1117/12.725450
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Edge detection

Hyperspectral imaging

Image segmentation

Sensors

Detection and tracking algorithms

Image analysis

Image enhancement

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