An applied research on remote sensing classification in the Loess Plateau  

作　　者：LIU Yongmei  TANG Guoan  LI Tianwen  YANG Qinke 

出　　处：《Journal of Geographical Sciences》2003年第4期395-399,共5页地理学报（英文版）

基　　金：National Nature Science Foundation of China,No.40271089;High-visiting scholar fund of The Key Laboratory of LIESMARS

摘　　要：Dae to complex terrain of the Loess Plateau, the classification accuracy is unsatisfactory when a single supervised classification is used in die remote sensing investigation of the sloping field. Taking the loess hill and gully area of northern Shaanxi Province as a test area, a research was conducted to extract sloping field and other land use categories by applying an integrated classification. Based on an integration of supervised classification aad unsupervised classification, sampling method is remarkably unproved. The results show that the classification accuracy is satisfactory by the method and is of critical significance in obtaining up-to-date information of the sloping field, which should be helpful in the state key project of converting farmland to forest and grassland on slope land in this area. This research sought to improve the application accuracy of image classification in complex terrain areas.Dae to complex terrain of the Loess Plateau, the classification accuracy is unsatisfactory when a single supervised classification is used in die remote sensing investigation of the sloping field. Taking the loess hill and gully area of northern Shaanxi Province as a test area, a research was conducted to extract sloping field and other land use categories by applying an integrated classification. Based on an integration of supervised classification aad unsupervised classification, sampling method is remarkably unproved. The results show that the classification accuracy is satisfactory by the method and is of critical significance in obtaining up-to-date information of the sloping field, which should be helpful in the state key project of converting farmland to forest and grassland on slope land in this area. This research sought to improve the application accuracy of image classification in complex terrain areas.

关 键 词：remote sensing integrated classification loess hilly and gully area sloping field SHAANXI 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] P941.74[自动化与计算机技术—控制科学与工程]