| STUDY ON THE SUBSIDING LAND EXTRACTION FROM LANDSAT TM IMAGE SUPPORTED BY GIS AND DOMAIN KNOWLEDGE |
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| 引用本文： | ZHOUXing-dong DUPei-jun GUODa-zhi. STUDY ON THE SUBSIDING LAND EXTRACTION FROM LANDSAT TM IMAGE SUPPORTED BY GIS AND DOMAIN KNOWLEDGE[J]. 中国地理科学(英文版), 2003, 13(1): 30-33. DOI: 10.1007/s11769-003-0081-9 |
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| 作者姓名： | ZHOUXing-dong DUPei-jun GUODa-zhi |
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| 作者单位： | Xuzhou Normal University，Xuzhou 221011，P. R. China; China University of Mining & Technology，Xuzhou 221008，P. R. China. |
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| 基金项目： | Under the auspices of the Research Foundation of Doctoral Point of China(No.RFDP20010290006). |
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| 摘 要： | The subsiding land can be extracted from Remote Sensing image based on its spectral and spatial fea-tures,The features of subsiding land caused by mining,especially its RS information features and relative knowledge are proposed Three methods can be used to extract subsiding land from RS image ,The first is to categorize the region into different blocks (or layers) according to their features and apply corresponding strategies for each block,the second is to identify the changeable region based on GIS firstly and then to classify those regions.and the third is to post-process the classified image by traditional methods or ANN (Artificial Neural Network) methods based on domain knowledge and GIS.Two direct extraction methods are intrduced also.One is the extraction based on the water accumulating property of subsiding land ,and the other is based on the dynamic change of land cover in subsiding land.
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| 关 键 词： | 地面沉降 遥感图像 GIS RS 地理信息系统 矿区 土地覆盖 |
| 收稿时间： | 2002-09-28 |
Study on the subsiding land extraction from landsat TM image supported by GIS and domain knowledge |
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| Zhou Xing-dong,Du Pei-jun,Guo Da-zhi. Study on the subsiding land extraction from landsat TM image supported by GIS and domain knowledge[J]. Chinese Geographical Science, 2003, 13(1): 30-33. DOI: 10.1007/s11769-003-0081-9 |
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| Authors: | Zhou Xing-dong Du Pei-jun Guo Da-zhi |
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| Affiliation: | (1) Xuzhou Normal University, 221011 Xuzhou, P. R. China;(2) China University of Mining & Technology, 221008 Xuzhou, P. R. China |
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| Abstract: | The subsiding land can be extracted from Remote Sensing image based on its spectral and spatial features. The features of subsiding land caused by mining, especially its RS information features and relative knowledge are proposed. Three methods can be used to extract subsiding land from RS image. The first is to categorize the region into different blocks (or layers) according to their features and apply corresponding strategies for each block, the second is to identify the changeable region based on GIS firstly and then to classify those regions, and the third is to post-process the classified image by traditional methods or ANN(Artificial Neural Network) methods based on domain knowledge and GIS. Two direct extraction methods are introduced also. One is the extraction based on the water accumulating property of subsiding land, and the other is based on the dynamic change of land cover in subsiding land. |
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| Keywords: | subsiding land Remote Sensing Geographic Information System domain knowledge |
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