·558 智能系统学报 第7卷 表1图像融合试验结果 537-539. Table 1 Results of image fusion [6]CARPER W J,LILLESAND T M,KIEFER R F.The use 图像 灰度均值 标准偏差 信息熵 平均梯度 of intensity-hue-saturation transformations for merging SPOT panchromatic and multispectral image dataJ].Photogram- 图3(c) 111.844 27.259 6.548 1.825 metric Engineering Remote Sensing,1990,56(4):459- 图3(d) 114.255 30.743 6.382 2.625 467. 图3(e) 112.029 28.286 6.624 4.480 [7]Jr CHAVEZ P S,SIDES S C,ANDERSON J A.Compari- 图3(f)114.128 32.673 6.623 4.327 son of three difference methods to merge multiresolution and multipectral data:landsat TM and SPOT panchromatic[J]. 图3(g) 114.075 31.840 6.587 3.389 Photogrammetric Engineering Remote Sensing,1991,57 图3(h) 159.560 35.017 6.857 5.456 (3):295-303. [8]BURT P J,ADELSON E H.The Laplacian pyramid as a 3结束语 compact image code[J].IEEE Trans Commun,1983,31 (4):532-540. 针对可见光与红外图像融合，本文提出了一种 [9]LAINE I K A,TAYLOR F.Image fusion using steerable 基于HS变换和小波变换的方法.首先对红外图像 dyadic wavelet transform[C]//Proc of the IEEE Int'l Conf 进行适当的灰度变换，并对可见光进行HS变换，然 on Image Processing.Washington DC,USA,1995:232- 后对可见光图像中Ⅰ亮度分量和红外图像进行小波 235. 分解得到低频和高频分量，对于低频和高频分量分 [10]DO M N,VETTERLI M.The contourlet transform:an ef- 别采用基于窗口能量的加权平均法和基于窗口区域 ficient directional multi-resolution image representation 标准差取大法.实验仿真结果表明，本文方法不仅能 [J].IEEE Transactions on Image Processing,2005,14 够大大增强融合图像的亮度与清晰度，并且能够保 (12):2091-2106. 留可见光图像中的光谱信息与红外图像中的重要信 [11]吴怀群，黄宵宁，王建，等.一种基于熵值的自动阈值 息，是一种有效的图像融合方法. 图像分割方法[J].应用科技，2011,38(8)：14. WU Huaiqun,HUANG Xiaoning,WANG Jian,et al.A 参考文献： method of image segmentation for automatically calculating threshold based on entropy[J].Applied Science and Tech- [1]POHL C,Van GENDEREN J L.Multisensor image fusion nology,2011,38(8):14. in remote sensing:concepts,methods and applications[]. [12]TU T,SU S,SHYN H,et al.A new look at IHS-like im- International Joumnal of Remote Sensing,1998,9(5): age fusion methods [J].Information Fusion,2001 (2): 823-854. 177-186. [2]葛小青.红外与可见光图像融合的研究[D].重庆：重 [13]张晓煜，李向.基于HS变换与小波变换的图像融合 庆大学，2010：1-3. [J].计算机与现代化，2007(8)：4853. GE Xiaoging.Research on fusion of infrared and visible im- ZHANG Xiaoyu,LI Xiang.Image fusion based on IHS and ages[D].Chongqing:Chongqing University,2010:1-3. wavelet transforms[J].Computer and Modernization,2007 [3]蒋晓瑜.基于小波变换和伪彩色方法的多重图像融合算 (8):48-53. 法研究[D].北京：北京理工大学，1997：15. [14]MALLAT S.A theory for multiresolution signal decomposi- JIANG Xiaoyu.Multiple image fusion algorithm based on tion:the wavelet representation[J].IEEE Transactions on wavelet transform and pseudo-color method [D].Beijing: Pattern Analysis and Machine Intellience,1989,11(7): Beijing Institute of Technology,1997:1-5. 674-693. [4]胡江华，柏连发，张保民.像素级多传感器图像融合技术 [15]唐国良，普杰信，黄心汉.一种基于HS和小波变换的 [J].南京理工大学学报，1996,20(5)：453456. 彩色图像融合算法[J].计算机应用研究，2006(10)： HU Jianghua,BAI Lianfa,ZHANG Baomin.Pixel level 174-175. multisensor image fusion technique[J].Journal of Nanjing TANG Guoliang,PU Jiexin,HUANG Xinhan.Color image University of Science and Technology,1996,20(5):453- fusion algorithm based on IHS and wavelet transformation 456. [J].Application Research of Computers,2006(10): [5]张加友，王江安.红外图像融合[J].光电子·激光， 174-175. 2000,11(5):337-539. [16]郭佳.红外与可见光图像融合技术的研究[D].西安： ZHANG Jiayou,WANG Jiang'an.Infrared image fusion 西安工业大学，2009：7-16. [J].Journal of Optoelectronics.Laser,2000,11(5): GUO Jia.Research on fusion technology of infrared and