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Proceedings Paper

Extraction of enclosure culture area from SPOT-5 image based on texture feature
Author(s): Wei Tang; Shuhe Zhao; Ronghua Ma; Chunhong Wang; Shouxuan Zhang; Xinliang Li
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Paper Abstract

The east Taihu lake region is characterized by high-density and large areas of enclosure culture area which tend to cause eutrophication of the lake and worsen the quality of its water. This paper takes an area (380×380) of the east Taihu Lake from image as an example and discusses the extraction method of combing texture feature of high resolution image with spectrum information. Firstly, we choose the best combination bands of 1, 3, 4 according to the principles of the maximal entropy combination and OIF index. After applying algorithm of different bands and principal component analysis (PCA) transformation, we realize dimensional reduction and data compression. Subsequently, textures of the first principal component image are analyzed using Gray Level Co-occurrence Matrices (GLCM) getting statistic Eigen values of contrast, entropy and mean. The mean Eigen value is fixed as an optimal index and a appropriate conditional thresholds of extraction are determined. Finally, decision trees are established realizing the extraction of enclosure culture area. Combining the spectrum information with the spatial texture feature, we obtain a satisfied extracted result and provide a technical reference for a wide-spread survey of the enclosure culture area.

Paper Details

Date Published: 26 July 2007
PDF: 11 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67522D (26 July 2007); doi: 10.1117/12.760718
Show Author Affiliations
Wei Tang, Nanjing Univ. (China)
Shuhe Zhao, Nanjing Univ. (China)
Ronghua Ma, Nanjing Institute of Geography and Limnology (China)
Chunhong Wang, Nanjing Univ. (China)
Shouxuan Zhang, Nanjing Institute of Geography and Limnology (China)
Xinliang Li, Nanjing Univ. (China)


Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information

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