遥感融合方法分析与评价  

Remote Sensing Analysis and Evaluation of Fusion

作　　者：肖奥[1] 陶舒[1] 王晓爽[1] 张彤欣[1] 

机构地区：[1]首都师范大学资源环境与旅游学院,北京100037

出　　处：《首都师范大学学报（自然科学版）》2007年第4期77-80,共4页Journal of Capital Normal University：Natural Science Edition

基　　金：首都师范大学实验室开放基金

摘　　要：遥感影像融合是一种通过高级影像处理来复合多源遥感融合的技术.它针对不同环境条件,选择最佳的波段组合和分辨率,设计最适合的时相叠加,采用一定的算法将各影像的优点或互补性有机的结合起来产生新的影像.各种融合有其各自的原理、特点,作用及限制条件.本文对各种相应的算法进行了分析和评价,并进行了实例比较.　Image fusion is a high-level image processing through to the integration of complex multi-source remote sensing technology.According to different environmental conditions,we can select the best combination of resolution of the band, the most suitable design phase stack,using the image or the complementary strengths of the combined organic produce new images.All algorithms have their own integration of the principles and characteristics of the role and limitations.In this paper,there is an analysis and evaluation of a variety of algorithms with examples.

关 键 词：数据融合 融合算法 HIS变化法 Brovey变换法 高通滤波变换法 PANSHARP. 

分 类 号：P237[天文地球—摄影测量与遥感]