圖像融合是在多測(cè)度空間綜合處理多源圖像和圖像序列的技術(shù)。圖像融合分為: 像素層圖像融合、特征層圖像融合和符號(hào)圖像層融合。本文討論了圖像融合各層次的融合算法以及紅外圖像、可見(jiàn)光圖像、多譜圖像、雷達(dá)圖像等的融合問(wèn)題。提出圖像融合的結(jié)構(gòu)模型, 并對(duì)圖像融合的發(fā)展方向進(jìn)行了展望。
關(guān)　鍵　詞: 　圖像融合; 　結(jié)構(gòu)模型; 　預(yù)測(cè)
Abstract: 　M ultisensor image fusion is w idely recognized as a valuable mechanism for imp roving overall system performance in image2based app lication areas. The objective of image fusion is to combine information from multip le images of the same scene to ach ieve inferences that cannot be ach ieved w ith a single image or source. Th is paper surveys p ixel, feature, and symbol level image fusion methods and compares the characteristics of different fusion levels. A few image fusion algorithm s of each level are p resented, p roblem s about fusion of infrared image, V I, SAR, multispectral image are discussed. A n image fusion structure model w ith feedback information and some issues that should be solved in the future are p roposed in th is paper.
KeyWords: 　image fusion; 　structure model; 　perspective