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遥感影像融合方法评价——以SPOT5自身融合为例 被引量:13

Evaluation on Fusion Algorithms of Remote Sensing Image-A Case Study of SPOT5
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摘要 影像融合技术近年来快速发展,是遥感研究的热点.SPOT5影像广泛应用于各个部门,它提供了2.5 m的全色和10 m的多光谱影像.将二者融合可以在保持光谱信息的同时提高空间分辨率.本文采用了PC,Gram-Schmidt和Pansharp三种融合方法对SPOT5全色和多光谱影像进行融合.从主观视觉、客观定量、波谱曲线和空间变化曲线四个方面分析和评价了三种融合结果的质量.分析评价结果表明:Pansharp方法的融合效果最佳.该方法在提高多光谱影像分辨率的同时,较好的保留了多光谱影像的光谱信息. The fusion technique has been developed quickly in recent years,which is an important remote sensing research topic.SPOT5 image is applied aboard in various departments.It provides the 2.5 m high special pan and 10 m multi-spectral data,which can be fused to achieve both high spatial and spectral resolution in a single image.PC,Gram-Schmidt and Pansharp are used to fuse SPOT5 low-resolution multispectral and high-resolution panchromatic images.The three fused images are analysed and evaluated by subjective vision,objective quantification,spectral curve and special transformation curve.The results show that Pansharp has the best quality both spatially and spectrally.
作者 刘克 赵文吉
出处 《首都师范大学学报(自然科学版)》 2008年第6期83-88,104,共7页 Journal of Capital Normal University:Natural Science Edition
基金 国家科技支撑计划"环北京区域地表环境遥感动态监测与评价技术研究"(2007BAH15B02)资助
关键词 遥感 图像融合 效果 PC方法 Gram-Schmidt方法 Pansharp方法 remote sensing,image fusion,effect,PC way,Gram-Schmidt way,Pansharp way.
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