Cotton area extraction from satellite image

Deshen Xia; Weiqiang Liu; Haiquan Zhong; Yasong Ge

doi:10.1117/12.372684

6 December 1999 Cotton area extraction from satellite image

Deshen Xia, Weiqiang Liu, Haiquan Zhong, Yasong Ge

Proceedings Volume 3759, Infrared Spaceborne Remote Sensing VII; (1999) https://doi.org/10.1117/12.372684
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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.

Citation Download Citation

Deshen Xia, Weiqiang Liu, Haiquan Zhong, and Yasong Ge "Cotton area extraction from satellite image", Proc. SPIE 3759, Infrared Spaceborne Remote Sensing VII, (6 December 1999); https://doi.org/10.1117/12.372684

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