SIMULATION AND ANALYSIS OF BACKSCATTERING CHARACTERISTICS AND TYPE RECOGNITION OF CROPS BASED ON DUAL-FREQUENCY AND MULTI-POLARIZATION SAR DATA
LI Xin-wu 1，ZHAO Tian-jie 2，3，4，ZHANG Li-xin 2，3，4
1. Key Laboratory of Resources Remote Sensing & Digital Agriculture，Ministry of Agriculture，Beijing 100081，China；2. Institute of Remote Sensing Applications，Chinese Academy of Sciences，Beijing 100101，China；3. State Key Laboratory of Remote Sensing Science，Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications，Chinese Academy of Sciences，Beijing 100875，China；4. School of Geography and Remote Sensing Science，Beijing Normal University，Beijing 100875，China
Based on C-band ENVISAT|ASAR and L-band ALOS|PALSAR data obtained from Changping test site of Beijing in 2007，the authors used the MIMICS model to simulate and analyze the backscattering characteristics of spring maize，summer maize and fruit trees，then compared the simulation result with the backscattering coefficients extracted from the SAR image and，according to the difference in backscattering coefficients of crops，set up a binary tree of classification algorithm to discriminate and identify the spring maize and summer maize，with the overall classification accuracy up to 86.66%. The result indicates that the dual-frequency and multi-polarization data can provide multi-dimensional information for identification and classification of crops，and have significant potential and advantages for crop remote sensing.
李新武, 赵天杰, 张立新. 基于双频多极化数据的农作物后向散射特性模拟分析及类型识别[J]. 国土资源遥感, 2008, 20(2): 68-73.
LI Xin-Wu, ZHAO Tian-Jie, ZHANG Li-Xin. SIMULATION AND ANALYSIS OF BACKSCATTERING CHARACTERISTICS AND TYPE RECOGNITION OF CROPS BASED ON DUAL-FREQUENCY AND MULTI-POLARIZATION SAR DATA. REMOTE SENSING FOR LAND & RESOURCES, 2008, 20(2): 68-73.
2008, Vol. 20 
