| 基于RS与GIS的固阳县土地利用变化研究 |
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| 引用本文： | 赵文慧,赵文吉,李小娟,宫兆宁.基于RS与GIS的固阳县土地利用变化研究[J].东北测绘,2008,31(1):52-57. |
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| 作者姓名： | 赵文慧 赵文吉 李小娟 宫兆宁 |
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| 作者单位： | 首都师范大学资源环境与地理信息系统北京市重点实验室,北京100037 |
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| 基金项目： | 包头土地利用动态监测与数据库更新项目 |
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| 摘 要： | 采用单一遥感影像和单纯的监督分类方法，在土地利用调查中，难以获得高精度的土地利用变化数据。为解决此问题，笔者以包头固阳县为研究区，利用主成分变换的方法，对多源遥感影像（ETM＋多光谱数据和中巴资源二号卫星全色波段数据）进行融合处理；同时，在分类中，采用监督分类辅以目视解译分类法相结合的混合分类法，改进训练样本选取方法，进行变化信息的提取，同时给出了易混淆地物的遥感解译标志。此方法的使用，使土地利用信息自动提取的精度明显提高，得到的总体分类精度为82．13％，Kappa指数值0．8016。研究结果为包头市固阳县土地利用变化动态监测，提供了重要的技术支持和借鉴。研究中使用了中巴资源二号卫星影像，取得了一定的成效，这在国内土地利用变化影像应用研究方面还较新，需进一步的研究，同时由于此影像的免费使用，使得成本费用大大降低，值得大力推广。
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| 关 键 词： | 遥感融合 高分辨率影像 土地利用类型 监督分类 目视解译 |
| 文章编号： | 1672-5867（2008）01-0052-06 |
| 收稿时间： | 2007-03-30 |
Research on the Change of Land Use Types in Guyang Based on RS＆GIS |
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| ZHAO Wen - hui, ZHAO Wen - ji, LI Xiao - juan, GONG Zhao - ning.Research on the Change of Land Use Types in Guyang Based on RS＆GIS[J].Northeast Surveying and Mapping,2008,31(1):52-57. |
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| Authors: | ZHAO Wen - hui ZHAO Wen - ji LI Xiao - juan GONG Zhao - ning |
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| Institution: | ZHAO Wen - hui, ZHAO Wen - ji, LI Xiao - juan, GONG Zhao - ning (The Key Lab of Resource Environment and GIS, Capital Normal University, Beijing 100037 ,China) |
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| Abstract: | The land use classification accuracy is unsatisfactory based on single remotely sensed data and supervised classification in the land use investigation. Taking the Guyang county of Baotou city as a test area, the ETM ＋ multi spectral data and CBS pan data are merged by the method of Principal Components Analysis. Then based on the merged image, the land use categories are extracted by applying an integration of supervised classification and visual interpretation, which improved sampling method remarkably. The total classify precision is 82.13% and Kappa index value is 0.8 016. The results of research provided critical significance in land use dynamic monitor in the area. By using CBS Ⅱ images, we got some effects. It＇s still a new way on applying CBERS Ⅱ image in land - use. Meanwhile, because the application of this image is free of charge, the cost is greatly reduced. The application of this image is worthy to further study. |
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| Keywords: | remote sensing fusion high resolution image land use type supervised classification visual interpretation |
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