本文提出了一種新的基于IHS 變換、加權(quán)平均與均值濾波的圖像融合方法，旨在增強(qiáng)融合圖像的多光譜彩色信息并能保留傳統(tǒng)IHS 變換融合法的運(yùn)算快速的優(yōu)點(diǎn)。通過實(shí)驗(yàn)數(shù)據(jù)的對比和分析證明新的改進(jìn)方法在保留多光譜圖像的色彩信息方面有明顯提高。
關(guān)鍵詞: IHS；加權(quán)平均；均值濾波；圖像融合；遙感

Image Fusion Based on Weighted Average, Mean Filtering and IHS Transform
CHANG Hua-wen, CHEN Chun-xiang （Department of Electronics and Computer Science, Guilin Institute of Technology, Guilin 541004, China） Abstract: In this paper, a new image fusion method which is based on weighted average, mean filtering and IHS Transform is proposed. The aim of this image fusion technique is reducing the loss of multi-spectral information in the process of image fusion based on ordinary IHS transform. Furthermore, the new method should keep simple. The results of experimentation have proved that this improvement of ordinary IHS transform is more effective.
Key words: IHS; Weighted Average; Mean Filtering; Image Fusion; Remote Sensing