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Proceedings Paper

Applying region growing algorithm to hyperspectral image for oil segmentation
Author(s): Mei-ping Song; Xing-wei Xu; Shuangyang Lu; Wei Xu; Hai-mo Bao
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Paper Abstract

Region growing is one of the popular segmentation algorithms for 2-D image, which comes up a continuous interested region. How to extent this method to hyperspectral image processing effectively is a problem needs to be discussed deeply. Here in this paper, three ways of using region growing in hyperspectral scenario are explored to separate oil from sea water. Furthermore, in order to release the influence of sunlight, a modification to growing rule is prompted, considering the property of local region. At last, a normalized ATGP is used to obtain more potential target. The experiment results show that combining unmixing techniques with region growing is better than other methods.

Paper Details

Date Published: 22 May 2014
PDF: 6 pages
Proc. SPIE 9124, Satellite Data Compression, Communications, and Processing X, 912404 (22 May 2014); doi: 10.1117/12.2053333
Show Author Affiliations
Mei-ping Song, Dalian Maritime Univ. (China)
Xing-wei Xu, Dalian Maritime Univ. (China)
Shuangyang Lu, Dalian Maritime Univ. (China)
Wei Xu, Dalian Maritime Univ. (China)
Hai-mo Bao, Dalian Maritime Univ. (China)


Published in SPIE Proceedings Vol. 9124:
Satellite Data Compression, Communications, and Processing X
Bormin Huang; Chein-I Chang; José Fco. López, Editor(s)

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