Discrimination of Basmati and Non-Basmati Rice Types Using Polarimetric Target Decomposition of Temporal Sar Data
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[1] Yuan Zhang,et al. Characterizing L-Band Scattering of Paddy Rice in Southeast China With Radiative Transfer Model and Multitemporal ALOS/PALSAR Imagery , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[2] Jakob J. Vanzyl,et al. Application of Cloude's target decomposition theorem to polarimetric imaging radar data , 1993 .
[3] M. Chakraborty,et al. Rice crop parameter retrieval using multi-temporal, multi-incidence angle Radarsat SAR data , 2005 .
[4] Stephen L. Durden,et al. A three-component scattering model for polarimetric SAR data , 1998, IEEE Trans. Geosci. Remote. Sens..
[5] Vineet Kumar,et al. Leaf area index estimation of lowland rice using semi-empirical backscattering model , 2013 .
[6] Y. Yamaguchi,et al. CS-1-4 Four-Component Scattering Model for Polarimetric SAR Image Decomposition based on Covariance Matrix(CS-1. 電磁波計測・イメージングと波動情報処理技術, エレクトロニクス1) , 2005 .
[7] Manabu Watanabe,et al. Growth monitoring and classification of rice fields using multitemporal RADARSAT-2 full-polarimetric data , 2012 .
[8] Brian Brisco,et al. Rice scattering mechanism analysis and classification using polarimetric RADARSAT-2 , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.
[9] G. Giraud. The World Market of Fragrant Rice, Main Issues and Perspectives , 2013 .
[10] Xia Li,et al. A novel algorithm for land use and land cover classification using RADARSAT-2 polarimetric SAR data , 2012 .
[11] Eric Pottier,et al. A review of target decomposition theorems in radar polarimetry , 1996, IEEE Trans. Geosci. Remote. Sens..
[12] Cuizhen Wang,et al. Capability of C-band backscattering coefficients from high-resolution satellite SAR sensors to assess biophysical variables in paddy rice , 2014 .