為了能夠更好地把來自多傳感器的圖象信息綜合起來, 以提高對(duì)圖象信息的分析和提取能力, 在研究了小波包圖象分析法之后, 提出了一種基于小波包變換的圖象融合方法. 由于小波包變換能對(duì)圖象進(jìn)行多層次分解,包括對(duì)小波變換沒有細(xì)分的高頻部分也能進(jìn)行進(jìn)一步的分解, 因此小波包分析能夠?yàn)閳D象提供一種比小波多分辨分析更加精細(xì)的分析方法. 利用此融合算法將由多傳感器獲得的同一目標(biāo)不同波段的遙感圖象和不同分辨率的遙
感圖象進(jìn)行融合后得到的融合圖象, 能夠很好地將源圖象的細(xì)節(jié)融合在一起. 通過與該融合圖象進(jìn)行主觀與客觀的評(píng)價(jià)比較, 證明該融合方法可以獲得更好的融合效果.
關(guān)鍵詞　圖象融合　小波包變換　遙感圖象　融合算法
Abstract　In o rder to merge info rmat ion from mult i2senso r adequately and to imp rove abilit ies of info rmat ion analysis and feature ext ract ion, w e study w avelet packet analysis on image data and give a fusion method in p ixel level by means of w avelet packet t ransfo rm in th is paper. W avelet packet t ransfo rm decompo ses an image into low frequency band and h igh frequency band in different level. Besides decompo sing low frequency band in a h igher
scale, it decompo ses h igh frequency band in h igher scale w h ich w avelet analysis does no t do. It offers a mo re p recise w ay fo r image analysis than w avelet mult i2reso lut ion analysis. Th rough merging images data of different w avebands from mult i2senso r to the same object and different reso lut ion images data by app lying image fusion method based on w avelet packet analysis, w e get fused p ictures. The method can fuse details of input images successfully, so that it disp lay info rmat ion of the each input image perfect ly. Comparing w ith o ther fused images and app raising them on w ay of object ive and subject ive perfo rmance, w e can draw the conclusion that using th is image fusion method can get mo re sat isfacto ry result than using o thers.
Kegwords　Image fusion, W avelet packet t ransfo rm, Remo te sensing image, Fusion algo rithm