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多源遥感影像数据融合技术探讨
引用本文:姚静,武文波,康停军.多源遥感影像数据融合技术探讨[J].东北测绘,2008,31(1):29-31.
作者姓名:姚静  武文波  康停军
作者单位:辽宁工程技术大学测绘与地理科学学院,辽宁阜新123000
基金项目:教育部博士点基金项目(20050147002);辽宁省自然基金项目(20042175)资助
摘    要:针对当前海量遥感数据与相对较低的数据利用率并存的现状,探讨了数据融合的概念,融合的3个层次:像素级、特征级和决策级融合,以及各层次的优缺点、流程和常用的融合方法;并详细阐述了融合影像的评价指标。进行了某地区的融合试验,从而得出对同一地区的遥感影像数据进行融合,可以产生更准确、更完全,更可靠的估计和判断的结论,为类似的工作提供了借鉴。

关 键 词:多源遥感影像  数据融合  像素级  评价指标
文章编号:1672-5867(2008)01-0029-03
收稿时间:2007-03-07

Discussion on the Technology of Multi- source Remote Sensing Image Data Fusion
YAO Jing, WU Wen -bo, KANG Ting- jun.Discussion on the Technology of Multi- source Remote Sensing Image Data Fusion[J].Northeast Surveying and Mapping,2008,31(1):29-31.
Authors:YAO Jing  WU Wen -bo  KANG Ting- jun
Institution:YAO Jing, WU Wen -bo, KANG Ting- jun ( School of Geomatics of Liaoning Technical University, Fuxin 123000, China)
Abstract:Aimed at the status in quo of the low efficiency of data application with massive remote sensing data, this paper discussed the concept of data fusion, and the three levels of data fusion : pixel - based, feature - based, and decision - based. It also analyzed the advantage and disadvantage of each level, the working flow, and general fusion methods. Then it elaborated the evaluation index of fusion image. It drew the conclusion that data fusion of remote sensing image of the same region could obtain more precision, complete, and reliable results of estimation and judgment through the experiment of fusion in a pilot area. It could provide reference for similar work.
Keywords:multi - source remote sensing image  data fusion  pixel - based  evaluation index
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