文献类型：期刊文献

中文题名：基于模糊集理论的单时相跨区域森林过火区遥感制图

英文题名：Remote sensing mapping for uni-temporal cross-region forest burned area based on fuzzy set theory

作者：朱曦[1] 覃先林[1] 廖靖[1]

第一作者：朱曦

机构：[1]中国林业科学研究院资源信息研究所

年份：2013

期号：4

起止页码：122-128

中文期刊名：国土资源遥感

外文期刊名：Remote Sensing for Land & Resources

收录：CSTPCD;;北大核心:【北大核心2011】；CSCD:【CSCD_E2013_2014】；

基金：国家高分重大专项(编号:E0305-1112);国际合作"龙计划"项目(编号:Dragon ID-5258);国家卫星应用高技术产业化专项"国产遥感影像在林业灾害应急处理中的应用产业化示范工程"项目(编号:发改办高技[2010]37号)共同资助

语种：中文

中文关键词：模糊分类;过火区;环境小卫星B星(HJ-1B)

外文关键词：fuzzy classification ; burned area; HJ - 1 B

分类号：TP79

摘要：针对利用卫星数据进行森林火烧迹地监测中的最优指数选择和阈值设定等问题,基于模糊集理论和模糊分类方法,综合利用同步获取的环境小卫星B星(HJ-1B)CCD数据和经过重采样的IRS数据构建的光谱指数,采用模糊有序加权平均(ordered weighting averaging,OWA)算子自适应方法对光谱指数进行聚合,增强过火区信息;加入热通道生成过火区负面信息,对过火区正面信息进行修正,以降低误判;将修正过的过火区正面信息进行区域生长,形成过火区边界。利用黑龙江逊克县和俄罗斯斯科沃罗季诺的火烧迹地对上述方法进行验证的结果表明,火烧迹地的制图精度超过85%,应用效果较好,能够满足森林过火区遥感制图的快速、跨区域适用性和精度要求。
It is very difficult to tackle the problems of the selection of optimal parameters and the determination of thresholds for the forest burned area mapping by using remote sensing data. In this paper, HJ -1B CCD and IRS data were combined to make a contribution to the spectral indices. An ordered weighting averaging （OWA） operator based fuzzy set theory was utilized to aggregate the positive evidence and negative evidence used to revise the positive information so as to reduce the commission error. Thermal infrared band was added to aggregate the negative evidence to test its validity. Then, the revised positive evidence was input for a regional growing algorithm to produce the result. The performance of the method was tested for two HJ - CCD/IRS images of Skovorodino in Russia and Xunke County in Heilongjiang Province in China. The results show that the overall accuracy is higher than 85% in both research areas, which indicates that the method proposed in this paper could meet the application need for burned area mapping.