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Proceedings Paper

Cotton area extraction from satellite image
Author(s): Deshen Xia; Weiqiang Liu; Haiquan Zhong; Yasong Ge
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Paper Abstract

The main application of remote sensing is to evaluate the output of the crops. Cotton directly correlative to our life, the evaluation of cotton is obviously important. The extraction of cotton from satellite image is an economical and effective method. In the growth period of cotton, wheat and other crops also grow with it. So, some difficulties are existed in the extraction of cotton area. In this paper, we discussed the some methods of the cotton area extraction. Then, GSA algorithm and Competition algorithm (both based on Markov Random Field), FCM algorithm based on Fuzzy set and the algorithm based on the Renyi threshold are introduced in this paper. The experiment indicates that these methods are effective.

Paper Details

Date Published: 6 December 1999
PDF: 7 pages
Proc. SPIE 3759, Infrared Spaceborne Remote Sensing VII, (6 December 1999); doi: 10.1117/12.372684
Show Author Affiliations
Deshen Xia, Nanjing Univ. of Science and Technology (China)
Weiqiang Liu, Nanjing Univ. of Science and Technology (China)
Haiquan Zhong, Nanjing Univ. of Science and Technology (China)
Yasong Ge, Nanjing Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 3759:
Infrared Spaceborne Remote Sensing VII
Marija Strojnik; Bjorn F. Andresen, Editor(s)

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