Abstract The test-area of 256 × 256 pixels sub-image within Huangyan county, Zhejiang province, was selected for application of landsat TM data to landuse classifcation and thematic information extraction studies. A method of integrated supervised classifier(dynamical clustering) with unsupervised classifier (minimal distanse) is used, the results are very satisfactory. The information of citrus trees distribution is also extracted successfully, the accuracy is 95. 3%. The research provided a efficent approch to invistigate the economic forest resource and detect its change rapidly in subtropical area.
张彦忠, 张福祥. TM数据用于亚热带桔果林区的土地利用分类和专题信息提取[J]. 国土资源遥感, 1994, 6(2): 28-33.
Zhang Yanzhong, Zhang Fuxiang. APPLICATION OF LANDSAT THEMATIC MAPPER DATA TO LANDUSE CLASSIFICATION AND THEMATIC INFORMATION EXTRACTION IN SUBTROPICAL ECONOMIC FOREST ZONE. REMOTE SENSING FOR LAND & RESOURCES, 1994, 6(2): 28-33.