| 多点模拟及其在遥感影像信息提取中的应用及进展 |
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| 引用本文： | 张弛,葛咏,白鹤翔,杨永国. 多点模拟及其在遥感影像信息提取中的应用及进展[J]. 遥感技术与应用, 2010, 25(2): 296-302. DOI: 10.11873/j.issn.1004-0323.2010.2.296 |
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| 作者姓名： | 张弛 葛咏 白鹤翔 杨永国 |
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| 作者单位： | 1.中国矿业大学资源学院,江苏 徐州 221116；2.中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京 100101 |
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| 基金项目： | 国家自然科学基金，国家高技术研究发展计划(863计划) |
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| 摘 要： | 多点模拟是多点地质统计学的应用,其通过模板扫描训练图像获取未知点的局部条件概率,在地物几何结构模拟上有传统地质统计学不可比拟的优越性。把多点模拟应用到遥感影像信息提取中,将结构信息和光谱信息融合到一起以提高分类精度是遥感影像分类的新思路。概述基于这种思路的CCSSM分类方法、研究进展,并对其作进一步讨论,尤其对应用CCSSM做多类别分类从理论上作可行的拓展分析。
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| 关 键 词： | 多点模拟 CCSSM 多点统计学 多类别分类 |
| 收稿时间： | 2009-10-26 |
| 修稿时间： | 2010-03-11 |
Multiple-point Simulation and Its Application and Development in RS Image Classification |
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| ZHANG Chi,GE Yong,BAI He-xiang,YANG Yong-guo. Multiple-point Simulation and Its Application and Development in RS Image Classification[J]. Remote Sensing Technology and Application, 2010, 25(2): 296-302. DOI: 10.11873/j.issn.1004-0323.2010.2.296 |
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| Authors: | ZHANG Chi GE Yong BAI He-xiang YANG Yong-guo |
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| Affiliation: | 1.School of the Earth Sciences and Resources of China University of Mine and Technology, Xuzhou 221116,China;2.State Key Laboratory of Resources and Environmental Information;System,Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences,Beijing 100101,China |
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| Abstract: | Multiple-point simulation (MPS) is one of the applications of multiple-point statistics in geology.It can simulate the complex geometry|structure by getting the conditional probability from training image through search-tree while the traditional geostatistics has little ability to capture the complex geometry-structure.When MPS is applied into remote sensing classification,it can help us to improve the traditional-pixel-by-pixel-classification accuracy by combining the structural and spectral information.This article firstly introduces the development of new classification method which is called “CCSSM”,and then discusses the revision of this methods.Furthermore,it extends CCSSM’s application to the classification of the multiple-class from in the perspects of a theoretical and feasible way. |
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| Keywords: | CCSSM Multiple-point simulation CCSSM Multiple-point statistics Multiple-class classification |
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