| 基于多源遥感数据的水体信息提取研究 |
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| 引用本文： | 张依欣,张涛,刘芳,许忠雄,李长春.基于多源遥感数据的水体信息提取研究[J].测绘与空间地理信息,2014(5):47-50. |
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| 作者姓名： | 张依欣 张涛 刘芳 许忠雄 李长春 |
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| 作者单位： | 河南理工大学测绘与国土信息工程学院,河南焦作454001 |
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| 基金项目： | 国家“十二五”科技支撑计划项目（2012BAJ23B04-2）; 河南省教育厅科学技术研究重点项目（12B420002）资助 |
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| 摘 要： | 卫星遥感技术已被广泛应用到水体信息提取中,但目前基于遥感技术的水体信息提取多采用单一的遥感数据源,而没有充分利用多源数据的信息复合优势,因此,提取结果经常受天气气候或空间分辨率限制。本文研究了不同尺度、不同平台的多种遥感数据源的水体信息提取方法。首先,基于波谱间关系决策树分类算法对Landsat ETM+图像进行水体提取,利用其分辨率优势较准确地提取出水体范围;其次,在Radarsat SAR图像上利用阈值法粗提取水体信息后,结合DEM剔除阴影得到水体信息;最后,利用灾前Landsat ETM+图像水体信息提取结果和灾中Radarsat SAR图像水体信息提取结果,进行差值处理,得到洪水淹没范围。研究结果可以为洪水灾害监测与评估提供信息依据。
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| 关 键 词： | 水体信息提取 多源数据 ETM+ SAR 波谱间关系决策树分类法 |
The Research on Water Information Extraction Based on Multisource Remote Sensing Data |
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| Institution: | ZHANG Yi -xin, ZHANG Tao, LIU Fang, XU Zhong- xiong, LI Chang- chun (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454001, China) |
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| Abstract: | Satellite remote sensing technology has been widely used to extract water-body information. However,nowadays a single kind of remotely sensed data is usually used to extract water-body information,but the advantage of the combination of multi-source datum information is ignored. Consequently,the accuracy of water information extraction is often limited to the climate or spatial resolution. In this paper,a new method based on multi-scale and multi-platform remotely sensed data is explored to extract water-body information. The main research includes several steps as follows： first,decision tree classification algorithms based on relationships between spectrum are used to extract the accurate size of water-body on Landsat ETM ＋ image due to its high spatial resolution; second,the method of threshold value is used to extract water-body information on Radarsat SAR image crudely,then more accurate water-body information is obtained by eliminating the shadow influence combined with DEM; finally,the flood extent is obtained by using differential technique of the water-body information extracted from the Landsat ETM ＋ image before flood disaster and Radarsat SAR image during flood disaster. The new method explored in this paper can provide information support for flood disaster monitoring and evaluation. |
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| Keywords: | water-body extraction multi-source datum ETM ＋ SAR decision tree classification algorithms based on relationships between spectrum |
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