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  

APPLICATION OF LANDSAT THEMATIC MAPPER DATA TO LANDUSE CLASSIFICATION AND THEMATIC INFORMATION EXTRACTION IN SUBTROPICAL ECONOMIC FOREST ZONE

作　　者：张彦忠[1] 张福祥[1] 

机构地区：[1]中国林科院资源信息所,浙江大学

出　　处：《国土资源遥感》1994年第2期28-33,共6页Remote Sensing for Land & Resources

摘　　要：本文介绍利用ＴＭ数据进行动态聚类并作最小距离分类的非监督和监督相结合的分类方法，对桔乡黄岩市郊的土地利用进行自动分类，获得了能充分揭示桔园分布的高质量土地利用分类图像；继而采用阈值法和均值─均方差窗口法成功地实现了桔林资源信息的自动提取，面积精度达９５．３％。为在我国南方亚热带地区快速监测经济林资源及其动态变化提供了有效的新手段。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.

关 键 词：土地利用 分类 专题信息 TM数据 

分 类 号：F323.211[经济管理—产业经济]