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面向土地利用类型识别的高分辨率SAR数据复合技术研究 被引量:3

Study on Composition Method of High Spatial Resolution SAR Data for Land Use Type Discrimination
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摘要 2007年以来,相继发射了3颗1m/3m高分辨率SAR卫星,极大地丰富了土地利用动态遥感监测数据源。SAR图像增强是土地利用动态遥感监测必要的预处理步骤。本文针对直接基于SAR数据进行土地利用类型识别中存在的问题,提出了SAR与光学图像、多时相SAR图像、多极化SAR图像合成和单极化SAR图像彩色合成等4种影像复合方法,分析评价了SAR与光学图像融合的应用效果,研究结果可为高分辨率极化SAR数据业务化应用提供技术参考。 Three high spatial resolution SAR satellites(1m/3m) have been launched since 2007 which provide more choice to carry out land remote sensing project.In this paper,the critic problems of land use type interpretation by high spatial resolution SAR data were analyzed,four image composition methods were proposed including SAR and optic image resolution merger,pseudo color composition by multi-temporal,multi-polarization or single-polarization SAR data.It is important work to popularize and apply SAR data in land use dynamic monitoring region.
出处 《遥感信息》 CSCD 2011年第1期50-53,共4页 Remote Sensing Information
基金 国土资源部百名科技人才计划项目 国家科技支撑计划(2008BAJ11B06) 国家高技术研究发展计划(2007AA12Z181-2)
关键词 遥感 SAR 影像融合 remote sensing SAR image fusion
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