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基于HIS 小波变换和MOPSO的全色与多光谱图像融合

赵辽英 马启良 厉小润

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基于HIS 小波变换和MOPSO的全色与多光谱图像融合

赵辽英, 马启良, 厉小润

Multi-spectral and panchromatic image fusion based on HIS-wavelet transform and MOPSO algorithm

Zhao Liao-Ying, Ma Qi-Liang, Li Xiao-Run
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  • 有效的全色图像和多光谱图像的融合方法必须保证光谱和空间信息的最大化. 采用HIS小波融合算法框架, 提出了新的高频系数提取方法和一种新的全色和多光谱图像融合方法. 根据小波变换后高频中的细节以及边缘信息都具有方向性, 而噪声点一般都是孤立点这一物理特性, 设计了一种基于一阶高斯微分的高频系数提取方法.以多个融合评价指标为目标函数, 对HIS小波融合算法中采用不同融合规则得到的结果图像, 通过多目标粒子群优化算法优化加权组合得到最终结果. 对实际TM多光谱图像和SPOT全色图像进行了融合实验比较研究, 结果表明, 改进的高频系数提取方法得到的融合图像在光谱信息和空间信息上都有较好的改善, 用多目标粒子群优化算法得到的结果图像在光谱信息保留上具有较明显的优势且空间信息也得到了较大的提高.
    Effective fusion method of remote sensing multispectral and panchromatic image must ensure maximizations of spectrum and space information. Using the fusion algorithm framework with combining HIS transformation and wavelet transform (HIS-wavelet), in this paper we propose a new method to extract high frequency coefficients and a new multispectral and panchromatic image fusion method by using multi-objective particle swarm optimization (MOPSO) algorithm. According to the physical characteristics that the edge information in the high frequency has the nature of direction and noise points in the high frequency are generally isolated, a high frequency coefficient extraction method based on Gauss first order differential is proposed. The final resulting image is optimally combined by two images obtained by using different fusion rules in HIS-wavelet. Multiple fusion evaluation indicators are used as object functions and the MOPSO algorithm is used to find the optimal weights. The experiments on TM multi-spectral image and SPOT panchromatic image are carried out. Experimental results demonstrate that the improved method has a better improvement in spectral and spatial information. At the same time, the resulting image which is obtained using MOPSO algorithm has obvious advantages in retaining the spectral information and the spatial information is also greatly improved.
    • 基金项目: 国家自然科学基金(批准号: 61171152)和教育部支撑计划项目 (批准号: 625010216)资助的课题.
    • Funds: Project supported by the National Natural Science Foundation of China (Grant No. 61171152), and the Program for New Century Excellent Talents in University of Ministry of Education of China (Grant No. 625010216).
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  • [1]

    Tu T M, Shyu H C, Huang P S 2001 Inf. Fusion 2 177

    [2]

    Mallat S G 1989 IEEE Trans. PAMI 11 674

    [3]

    Tanish Zaveri, Ishit Makwana, Mukesh Zaveri 2010 International Conference on Hybrid Intelligent Systems 10 13

    [4]

    Gan T, Feng S T, Nie S P, Zhu Z Q 2011 Acta Phys. Sin. 60 114205 (in Chinese) [甘甜, 冯少彤, 聂守平, 朱竹青 2011 物理学报 60 114205]

    [5]

    Guo Q, Liu S May 2011 International Journal for Light and Electron Optics 122 811

    [6]

    Arash G M, June M Y 2011 IEEE Trans. on Geoscience and Remote Sensing 49 1976

    [7]

    Wen L M, Peng L 2011 Computer Engineering and Applications. 10 (in Chinese) [温黎茗, 彭力 2011 计算机工程与应用 10]

    [8]

    Li X D 2003, 3 August. In: Proc. of the Genetic and Evolutionary Computation Conference. Chicago, USA p37-48

    [9]

    Li H B, Li X, Liu X P, Ai B, Liu T 2008 Journal of Remote Sensing. 12 724 (in Chinese) [黎海波, 黎 夏, 刘小平, 艾 彬, 刘 涛 2008 遥感学报 12 724]

    [10]

    Saeedi J, Faez K 2011 ISPRS Journal of Photogrammetry and Remote Sensing 66 365

    [11]

    Gong J Z, Liu Y S, Xia B C, Chen J F 2010 Journal of Image and Graphics. 15 1269 (in Chinese) [龚建周, 刘彦随, 夏北成, 陈健飞 2010 中国图象图形学报 15 1269]

    [12]

    Chao R, Zhang K, Li Y J. 2004 Acta Electronica Sinica 32 750 (in Chinese) [晁 锐, 张 科, 李言俊 2004 电子学报 32 750]

    [13]

    Yang Y 2011 Journal of Multimedia 6 91

    [14]

    Bai T T, Deng C X, Geng Y 2010 Science and Technology Journal of Harbin University 15 44 (in Chinese) [白婷婷, 邓彩霞, 耿英 2010 哈尔滨理工大学学报 15 44]

    [15]

    Wang H H, Peng J X, Wu Wei 2004 Infrared and Laser Project. 33 189 (in Chinese) [王海晖, 彭嘉雄, 吴巍 2004 红外与激光工程 33 189]

    [16]

    Zhao W J, Duan F Z, Liu X M, Xue Z Y 2007 ENVI remote sensing image processing project and practice (Beijing: China Environmental Science Press) [赵文吉, 段福州, 刘晓萌, 徐智勇 2007 ENVI遥感影像处理专题与实践 (北京: 中国环境科学出版社)]

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出版历程
  • 收稿日期:  2012-02-13
  • 修回日期:  2012-03-28

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