基于ETM遥感影像的荒漠公益林融合方法研究

Fusion Method of Public Welfare Forests in Desert Areas Based on ETM Image

随着遥感影像融合技术的发展,提高了光谱分辨率较高而空间分辨率较低影像的应用前景,这对于森林资源调查具有重要意义。本文利用ETM影像,通过主成分、比值、乘积和IHS变换等4种融合方法对研究区影像进行了融合,并对融合后的影像进行了效果评价。结果表明,所有融合后图像的标准差和信息熵都大于原始影像,融合后图像的信息量大大增加,其中基于IHS变换的融合方法效果较其它3种融合方法好。

Along with the technique development of image fusion,application prospective has been imprioved of high spectral and low space resolution images,which will play important role for forest investigation.Based on ETM images,applying PCA,Brovey,Mutiplicative and IHS four fusion methods,and estimating the effect of the fusion images,images of the public welfare forests in desert areas fused.The results showed that all of standard deviation and entropy of the fusion images were higher than thoes of original image...