TM数据在桔果经济林区土地利用分类和专题信息提取中的应用  

Application of TM Data to Landuse Classification and Thematic Information Extraction in Economic Forest Zone

作　　者：张艳忠[1] 张福祥[1] 

机构地区：[1]浙江大学,310027

出　　处：《遥感技术与应用》1992年第3期24-29,共6页Remote Sensing Technology and Application

摘　　要：利用TM—CCT数据,对位于浙江省黄岩市境内256×256像元的试验区进行了土地利用自动分类和桔资源专题信息提取的研究。采用改进的动态聚类法和最小距离法,把非监督分类和监督分类有机地结合起来,获得了较高精度的土地利用分类图。在此基础上,运用阈值最小距离法和均值—均方差窗口法成功地实现了桔林资源的专题信息提取,精度达95.3％。从而为亚热带经济资源及其动态变化的快速检测提供了有效的新手段。The test-area of 256×256 pixels sub-image within Huangyan county, Zhe jiang province, was selected for application of landsat TM data to landuse classification and the matic information extraction studies, Amethod of integrated supervised classifier (dynamiccal clustering) with unsupervised classifier (minimal distanse) is used in this paper, the results are very satisfactory. The information of citrus trees is also extracted successfully, the accuracy is 95.3%. The research provided a efficent approch to investigate the economic forest resource and detect its change rapidly in subtropical area.

关 键 词：土地利用 分类 遥感 经济林 

分 类 号：S774[农业科学—森林工程]