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基于多源卫星图像融合的水坝检测方法的研究
引用本文:邱丹丹,马洪超,杨耘,贾鹏.基于多源卫星图像融合的水坝检测方法的研究[J].遥感学报,2006,10(4):449-455.
作者姓名:邱丹丹  马洪超  杨耘  贾鹏
作者单位:武汉大学,遥感信息工程学院,湖北,武汉,430079
基金项目:国家高技术研究发展计划(863计划)
摘    要:本文提出了一种基于多源卫星图像融合的水坝检测方法,该方法在特征级融合的模式下,利用多源卫星图像特征信息互补的优势,先后提取多个卫星图像中目标的特征信息,再通过多传感器数据融合方法中的逻辑模板法对特征进行融合,得到系统的目标结果输出。试验结果显示,该算法能在大幅复杂背景下有效地对水坝进行检测并定位,并减少了单源卫星图像进行目标检测的错判、误判率。整个算法能完全实现自动检测,可达到预想的目的。

关 键 词:水坝  图像融合  多源  检测
文章编号:1007-4619(2006)04-0449-07
收稿时间:2005-05-29
修稿时间:2005-08-30

A Study of Dam Detection Based on Multi-source Satellite Images Fusion
QIU Dan-dan,MA Hong-chao,YANG Yun and JIA Peng.A Study of Dam Detection Based on Multi-source Satellite Images Fusion[J].Journal of Remote Sensing,2006,10(4):449-455.
Authors:QIU Dan-dan  MA Hong-chao  YANG Yun and JIA Peng
Institution:School of Remote Sensing and Information Engineering, Wuhan University, Hubei Wuhan 430079, China
Abstract:A method of dam detection based on multi-source satellite images fusion is brought forward. Under the pattern of feature level fusion, this approach utilizes the advantage, which adopts commutative complementarily characters of multi-source remote sensing. First, extra the features in multi-source satellite images in turn. Then these features are fused by logic template of multi-sensor fusion to get the target detection output of the system. The result of the test proves that the approach can effectively detect and locate the dam in the large complex remote sensing image and reduce the miscarriage of justice and mistake in only one satellite image. The whole algorithm can work automatically, achieving the anticipating aim.
Keywords:dam  image fusion  multi-source  detection
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