| 比值居民地指数在城镇信息提取中的应用 |
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| 引用本文： | 吴宏安,蒋建军,张海龙,张丽,周杰.比值居民地指数在城镇信息提取中的应用[J].南京师大学报,2006,29(3):118-121. |
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| 作者姓名： | 吴宏安 蒋建军 张海龙 张丽 周杰 |
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| 作者单位： | [1]南京师范大学地理科学学院,江苏南京210097 [2]中同科学院地球环境研究所黄土与第四纪地质国家重点实验室,陕西西安710075 |
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| 基金项目： | 欧盟资助项目;中国科学院知识创新工程项目 |
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| 摘 要： | TM图像中由于裸地与城镇光谱特征相似，利用传统的分类方法难以区分二者，城镇提取精度很难令人满意针对这一问题，本文提出了一种新的方法即比值居民地指数（RRI）法用于城镇信息提取，同时与最大似然监督分类法作对比，研究结果表明，RRI法（精度达87.50％）优于最大似然分类法（精度为78．13％），是一种提取城镇居民地信息的理想方法，尤其适合裸地较多的干旱半干旱地区．
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| 关 键 词： | 比值居民地指数(RRI) 最大似然分类法 城镇信息提取 西安 |
| 文章编号： | 1001-4616（2006）03-0118-04 |
| 收稿时间： | 2005-09-28 |
| 修稿时间： | 2005年9月28日 |
Application of Ratio Resident-area Index to Retrieve Urban Residential Areas Based on Landsat TM Data |
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| Wu Hongan,Jiang Jianjun,Zhang Hailong,Zhang Li,Zhou Jie.Application of Ratio Resident-area Index to Retrieve Urban Residential Areas Based on Landsat TM Data[J].Journal of Nanjing Normal University(Natural Science Edition),2006,29(3):118-121. |
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| Authors: | Wu Hongan Jiang Jianjun Zhang Hailong Zhang Li Zhou Jie |
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| Abstract: | In this paper,RRI(Ratio Resident-area Index) and Maximum Likelihood Classification(MLC) were used to retrieve urban residential areas in the region of Xi'an,respectively,from the satellite image of Landsat TM in 2003.Unlike conventional supervised classification for land use/cover retrieval,in this study,RRI can reflect the information of residential areas,and it is defined as RRI=TM1/TM4.By comparing the two different methods,we find that the urban residential areas derived from TM imagery using RRI is more accurate than that using MLC,the overall accuracy of them are 87.50% and 78.13%,respectively.Results indicated that RRI is an effective way to retrieve urban residential areas.This method can not only obtain all the residential information,but also eliminate the influence of barrens,thus the retrieving accuracy is very high. |
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| Keywords: | Ratio Resident-area Index Maximum Likelihood Classification urban residential areas Xi'an city |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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