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TitlePolarization signature analysis of paddy rice in southern China
AuthorLi, K; Zhang, F; Shao, YORCID logo; Cai, A; Yuan, J; Touzi, R
SourceCanadian Journal of Remote Sensing vol. 37, no. 1, 2011 p. 122-135,
Alt SeriesNatural Resources Canada, Contribution Series 20181148
PublisherInforma UK Limited
Mediapaper; on-line; digital
File formatpdf
Subjectsgeophysics; remote sensing
ProgramCanada Centre for Remote Sensing Divsion
Released2014 06 02
AbstractRice is one of the three largest food grains in the world. Radar remote sensing has been proven to be an effective tool for rice monitoring. With the emergence of spaceborne polarimetric synthetic aperture radar (SAR) satellites, research on polarization backscatter behaviors and identification methods for rice are of great significance and attract the attention of remote sensing communities. The Zhazuo area located in Guizhou province of southwest China was selected as the test site for this study. The RADARSAT-2 polarimetric data acquired on four different dates were used to analyze the polarization backscatter behaviors and temporal variation of rice. Identification methods for rice based on polarization combinations and polarization decompositions were developed. The results indicated that HH with HH/HV was the optimal polarization combination for rice identification, with an accuracy of up to 86.65%. Based on the Pauli decomposition, rice can be discriminated effectively, with an accuracy of about 87.00%. Furthermore, using combinations of different polarization decompositions the identification results were greatly improved. The combination of the Pauli decomposition and the parameter ? derived from eigenvector-eigenvalue-based decomposition was best for rice identification, with an accuracy of up to 93.51%. © 2011 CASI.

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