Title :
Rice scattering mechanism analysis and classification using polarimetric RADARSAT-2
Author :
Shao, Yun ; Li, Kun ; Touzi, Ridha ; Brisco, Brian ; Zhang, Fengli
Author_Institution :
Inst. of Remote Sensing Applic., Beijing, China
Abstract :
China is the largest rice producer in the world. Guizhou province is an important rice growing area in the southwest of China. However, rice monitoring with remote sensing data has great difficulties in this region due to its perennial cloud-coverage weather and undulating terrain. With the emergence of polarimetric SAR data and state of art methods for polarization information extraction, rice monitoring in this region is more promising. In this study, multi-temporal RADARSAT-2 polarimetric SAR data set was acquired in Guizhou, China. The Freeman-Durden, Cloude-Pottier and the Touzi decompositions were used for classification and rice scattering mechanism analysis.
Keywords :
geophysical image processing; geophysical techniques; image classification; radar imaging; vegetation; China; Cloude-Pottier decomposition; Freeman-Durden decomposition; Guizhou province; Touzi decomposition; perennial cloud-coverage weather; polarimetric RADARSAT-2; polarimetric SAR data; polarization information extraction; remote sensing data; rice growing area; rice monitoring; rice producer; rice scattering mechanism analysis; rice scattering mechanism classification; undulating terrain; Accuracy; Clouds; Monitoring; Production; Remote sensing; Scattering; Synthetic aperture radar; RADARSAT-2; polarimetric SAR; rice;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351263