| 城市建设用地遥感信息提取方法研究 |
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| 引用本文： | 车风,林辉.城市建设用地遥感信息提取方法研究[J].测绘科学,2010,35(4):97-99. |
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| 作者姓名： | 车风 林辉 |
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| 作者单位： | 中南林业科技大学林业遥感信息工程研究中心,长沙,410004;中南林业科技大学林业遥感信息工程研究中心,长沙,410004 |
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| 基金项目： | 国家自然科学基金，湖南省教育厅青年基金，湖南省学科带头人培养基金，中南林业科技大学青年科学研究基金 |
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| 摘 要： | 本文利用CBERS-02B影像,通过分析各个地类的光谱特征,发现了长沙市城市建设用地和其他背景地物的区别,并在此基础上选取了土壤调节植被指数(SAVI)、归一化水体指数(NDWI)和比值居民地指数(RRI)作为三个指数波段,重新进行波段组合,从而减少了波段数据的冗余,最后采用最大似然法分类,提取出城市建设用地信息,其正确率达到85.6%。
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| 关 键 词： | CBERS-02B影像 城市建筑用地 土壤调节植被指数 |
Remote sensing information extraction of urban built-up land |
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| CHE Feng,LIN Hui.Remote sensing information extraction of urban built-up land[J].Science of Surveying and Mapping,2010,35(4):97-99. |
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| Authors: | CHE Feng LIN Hui |
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| Abstract: | Based on the CBERS-02B image data,this paper analyzed the Spectral Characteristics of land use types,and found the difference between the urban built-up land and others.The study selected three indices,i.e.Soil Adjusted Vegetation Index(SAV I),normalized difference water index(NDWI) and Ratio Resident-area Index(RRI),to represent three major index bands generated from the original multispectral bands and dramatically decreased band correlation.Using Maximum Likelihood Classification(MLC) to retrieve urban built-up areas in the region of Changsha,the overall accuracy of them were 85.6%. |
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| Keywords: | CBERS-02B image urban built-up land soil adjusted vegetation index |
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