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TM影像在长春市土地利用分类研究中的应用
引用本文:王丽娟,冯仲科,房媛,龚威平,汪波,李雪瑞.TM影像在长春市土地利用分类研究中的应用[J].河北农业科学,2010,14(1):133-136.
作者姓名:王丽娟  冯仲科  房媛  龚威平  汪波  李雪瑞
作者单位:1. 北京林业大学测绘与3S技术中心,北京,100083
2. 住房和城乡建设部城乡规划管理中心,北京,100835
基金项目:国家自然基金项目,国家十一五课题 
摘    要:利用Landsat TM遥感影像,在Erdas Imagine 9.2软件的支持下,分析了吉林省长春市Landsat-7影像的光谱特征值以及NDVI、NDBI和NDWI的特征值。参照高程及坡度数据,确定了各类地物的综合阈值。用监督分类和专家分类技术对Landsat TM分类,评价了专家分类方法在大尺度遥感数据分类中的作用。

关 键 词:长春市  遥感  TM影像  专家分类模型  土地利用

Application of TM Images in the Study of Land Use Classification in Changchun
WANG Li-juan,FENG Zhong-ke,FANG Yuan,GONG Wei-ping,WANG Bo,LI Xue-rui.Application of TM Images in the Study of Land Use Classification in Changchun[J].Journal of Hebei Agricultural Sciences,2010,14(1):133-136.
Authors:WANG Li-juan  FENG Zhong-ke  FANG Yuan  GONG Wei-ping  WANG Bo  LI Xue-rui
Institution:1. Center of Surveying and 3S Technology., Beijing Forestry University, Beijing 100083, China; 2. Center of Management of Urban and Rural Planning, Ministry of Housing and Urban-rural Development, Beijing 100835, China)
Abstract:The spectral characteristic value and the variables of NDVI, NDBI and NDWI of Landsat-7 image in Changchun were studied using the Landsat TM remote sensing image with Erdas Imagine9.2 software. The comprehensive threshold of all types of ground objects were determined based on the data of elevation and slope. The Landsat TM was classified by supervised classification and expert classification. The role of expert classification in the classification of large scale remote sensing data was evaluated.
Keywords:Changehun City  Remote sensing  TM image  Expert classification model  Land use
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