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《REMOTE SENSING FOR LAND & RESOURCES》 1997-04
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THE APPLICATION OF MULTI-TEMPORAL RADARSAT DATA TO PADDY FIELD CLASSIFICATION IN ZHAOQING AREA, GUANGDONG PROVINCE, CHINA

Liu Hao \ Shao Yuan \ Wang Cuizheng (Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing \ 100101) Brian Brisco (Canada Center for Remote Sensing, 588 Booth Street, Ottawa, Ontario, Canada K1A0Y7) Gordon Staples (Radarsa  
It gets a good result, that the multi-temporal Radarsat data are applied to paddy Field Classification in Zhaoqing area, Guangdong province, China. The discrimination of paddy field can reach a high accuracy, and the rotation process in paddy field can also be inferred easily. This paper demonstrate the latest development in this experimental research. Emphasis has been placed on the potential of neural network classifier's application to SAR image processing and the optimum Radarsat data selection for paddy monitoring in the southern China.
【CateGory Index】: TN959.4
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