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《Scientia Geographica Sinica》 2001-03
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Study on Automatic Abstraction Methods of Cultivated Land Information from Satellite Remote Sensing Images

ZHAO Geng xing 1, DOU Yi xiang 2, TIAN Wen xin 3, ZHANG Yin hui 1 (1.Shandong Agricultural University, Tai′an, Shandong 271018; Land Administration Bureau of Shandong Province, Jinan, Shandong 250014;2.Remote Sensing Center of Geological R  
ion techniques on cultivated land information of seven counties and ten temporal phases were studied. Because of the spectral characteristic difference between cultivated land subtypes, the interactive unsupervised classification method can be used for obtaining a good result. Among supervised classification methods the ENVI Spectral Angle Mapper can reach a better result because of its data purification function to maintain the typicality of training samples. Compared with salty and mountainous regions, the classification precision can be higher in inner plain region where cultivated land has comparatively accordant spectral information. Based on comparison analysis the best temporal phase of cultivated land information abstraction is in spring which is from March to May. In addition the using of non remote sensed data such as land use map as well as expert experience is also important for promoting the precision of cultivated land acquiring. Selecting spring TM432 band composite images, processed by geometric calibration and enhancing processing, using interactive unsupervised classification method; the average precision of cultivated land classification is up to 98.22%.
【Fund】: 山东省科委资助项目 ( 981186 10 3)
【CateGory Index】: P208
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