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国土资源遥感  2012, Vol. 24 Issue (3): 84-91    DOI: 10.6046/gtzyyg.2012.03.16
  技术方法 本期目录 | 过刊浏览 | 高级检索 |
面向对象的山区湖泊信息自动提取方法
沈金祥1,2, 杨辽1, 陈曦1, 李均力1, 彭青青1,2, 胡举1,2
1. 中国科学院新疆生态与地理研究所遥感与GIS应用实验室, 乌鲁木齐 830011;
2. 中国科学院研究生院, 北京 100049
A Method for Object-oriented Automatic Extraction of Lakes in the Mountain Area from Remote Sensing Image
SHEN Jin-xiang1,2, YANG Liao1, CHEN Xi1, LI Jun-li1, PENG Qing-qing1,2, HU Ju1,2
1. Remote Sensing and GIS Application Laboratory, Xinjiang Ecology and Geography Institute, Chinese Academy of Science, Urumqi 830011, China;
2. Graduate University of Chinese Academy of Science, Beijing 100049, China
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摘要 传统的水体信息提取主要利用水体反射与吸收光谱特征构建各种光谱指数模型,进行全局像元级的提取。然而,不同水体类型的光谱、空间形态与空间分布特征均有显著差异。对于山区图像而言,山体阴影、冰雪、裸岩等地物的干扰使全局性水体光谱指数模型难以取得很好的提取精度。面向对象的图像分析方法通过对遥感图像进行分割,从全域—局部上耦合分析水体的光谱、空间形态、空间分布与空间关系等特征,构建了通用性强的湖泊信息提取规则集,最终实现湖泊水体信息的自动化提取。通过eCognition软件对Landsat TM图像的实验结果表明,该方法可以完全避免像元级阈值水体信息提取中出现的一些错误的"零星水体",自动且高效地提取出了山区湖泊水体信息,在无云情况下提取精度达95%以上。
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程田飞
周为峰
樊伟
关键词 遥感水产养殖信息提取    
Abstract:Traditional water-body information extraction is mainly based on the reflection and absorption spectral characteristics of the water body. By building and using all kinds of spectral index models which respond to the water spectral characteristics more obviously, the water body could be extracted in pixel-level. However, different types of water bodies have significantly different spectral and spatial patterns as well as spatial distributions. As for the mountain area image, the shadows of such objects as the mountain, snow, ice and bare rock make these global water spectral index models fail to get a satisfactory result. The object-oriented image analysis carries out remote sensing image segmentation first, and then analyzes the global and local characteristics of the water in such aspects as spectral and spatial patterns, spatial distribution, and spatial relationships so as to build the water extraction decision ruleset; finally, the water body information is extracted with the ruleset automatically. The Landsat TM image water extraction experiment in the eCognition software shows that the method can completely avoid the emergence of some errors of "sporadic water body" which often exist in the pixel-level threshold value extraction, and the mountain area lakes could be extracted automatically and efficiently, with the accuracy up to 95% or even higher in the cloud-free case.
Key wordsremote sensing    aquaculture    information extraction.
收稿日期: 2011-11-21      出版日期: 2012-08-20
:  TP751.1  
基金资助:新疆维吾尔自治区"科技支疆"项目(编号: 200891128); 国家自然科学基金项目(编号: 41101041); 国家国际科技合作计划(编号: 2010DFA92720)及中国科学院西部博士资助项目(编号: XBBS200809)共同资助。
通讯作者: 杨辽(1972-),男,正高级工程师,主要研究方向为摄影测量与遥感、土地利用与生态环境等。E-mail: yangliao@ms.xjb.ac.cn
引用本文:   
沈金祥, 杨辽, 陈曦, 李均力, 彭青青, 胡举. 面向对象的山区湖泊信息自动提取方法[J]. 国土资源遥感, 2012, 24(3): 84-91.
SHEN Jin-xiang, YANG Liao, CHEN Xi, LI Jun-li, PENG Qing-qing, HU Ju. A Method for Object-oriented Automatic Extraction of Lakes in the Mountain Area from Remote Sensing Image. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(3): 84-91.
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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2012.03.16      或      https://www.gtzyyg.com/CN/Y2012/V24/I3/84
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