多元遥感影像数据融合研究

由于遥感数据越来越丰富,不同传感器获取的影像数据在几何、光谱和空间分辨率等方面存在着一定的局限性和差异性。全色波段和多光谱影像融合得到的影像,兼有全色波段的高空间分辨率和多光谱影像的高光谱分辨率特性,可以满足影像解译的需求,而且融合后更能突出影像的某些特征：如土地利用变化和森林覆盖的变化等等。本文主要是介绍遥感影像融合的基本原理、融合后影像的评定和分析,并且将以主成份影像融合、IHS变换与直方图匹配法的遥感影像融合,进行以南昌市部分地区Quickbird全色影像和多光谱影像的融合实验分析。

Research of Multiple Remote Sensing Images Data Integration

Because the remote sensing data are abundant.Different sensors in the imaging data geometric,spectral and spatial resolution is in the presence of certain limitations and differences;panchromatic band multi-spectral imaging and integration of the images,both high spatial resolution panchromatic band and multi-spectral imaging characteristics of the high-spectral resolution meet the needs of physicians images.And better integration of certain special highlight video said：If land-use change and changes in forest cover,and so forth.This is mainly on the integration of the basic principles of remote sensing images,methods of assessment and integration of imaging and analysis.Taking the Wuhan city＇s part image of quickbird as a case study,the article will be using the principle component analysis,and IHS integration method to explain their transformations matching law integration of remote sensing image analysis.