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Remote Sensing Technology and Application  2010, Vol. 25 Issue (4): 464-468    DOI: 10.11873/j.issn.1004-0323.2010.4.464
article     
Study on Rice Identification Technology Using HJ-1B Data
ZHONG Shi-quan1,2,MO Jian-fei1,2,CHEN Yan-li1,2,LI li1,2
1.Remote Sensing Application and Validation Base of National Satellite Meteorological Center,
Nanning 530022,China;2.Guangxi Meteorological Disaster Mitigation Institute,Nanning 530022,China
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Abstract  

To identify and extract rice information from remote sensing images rapidly,correctly and objectively,satisfied the needs of rice remote sensing monitoring in a large scale,the spectral reflection characteristic of rice was analyzed by spectral analysis method,based on HJ-1B data.With field survey data,1∶5 million digital elevation model (DEM) data for the auxiliary parameters,a remote sensing information identification model for rice was established.Using decision tree classification method to extract the information of rice.And the rice information was extracted in Binyang country,Guangxi province by using this method.The accuracy of this rice identification model was verified by GPS measured sample data and the precision reached 94.9%,Kappa is 0.8533.Results show that this rice identification technology can provide a technological support for understanding rice planting situation,monitoring rice growing condition and estimating the yield of rice.

Key words:  HJ-1B      Rice identification model      DEM      Decision tree     
Published:  21 October 2010
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ZHONG Shi-quan
MO Jian-fei
CHEN Yan-li
LI Li

Cite this article: 

ZHONG Shi-quan, MO Jian-fei, CHEN Yan-li, LI Li. Study on Rice Identification Technology Using HJ-1B Data. Remote Sensing Technology and Application, 2010, 25(4): 464-468.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2010.4.464     OR     http://www.rsta.ac.cn/EN/Y2010/V25/I4/464

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