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基于正交小波包遥感图像融合算法研究
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中图分类号:

TP393

基金项目:

国家自然科学基金资助项目(49971055);江苏省教育厅自然科学基金资助项目(04KJD420193)


Research on Remote Sensing Image Fusion Algorithm Based on Orthogonal Wavelet Packet Transform
Author:
  • LIN Hui, XIAO Jian-ping, DU Pei-jun

    LIN Hui, XIAO Jian-ping, DU Pei-jun

    1. Department of Territory Information and Surveying Engineering of Xuzhou Normal University, Xuzhou, Jiangsu 221116, China; 2. Wuhan Design and Research Institute of Exploration and Surveying, Wuhan, Hubei 430022, China; 3. College of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou, Jiangsu 221008, China
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    摘要:

    正交小波包分析能够将信号(图像)频带进行多层次划分,对多分辨分析没有细分的高频部分进一步分解,从而提高了频率分辨率,能有效地提取特定的频率成分。首先推导了小波包分析的基本原理,并给出了基于正交小波包分析的遥感图像融合算法,最后,通过实例说明正交小波包分析的有效性和优越性。

    Abstract:

    Orthogonal wavelet packet transform can divide signals (images) into multi-levels and further decompose the high-frequency part that isn't subdivided by multi-resolution analysis, thus improving the resolution of frequency and then effectively extracting the specific frequency component. This paper deduces the basic principle of wavelet packet transform, provides remote sensing image fusion algorithm based on orthogonal wavelet packet transform. Finally, an instance is given, which proves the validity and superiority of orthogonal wavelet packet transform.

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林卉,肖剑平,杜培军.基于正交小波包遥感图像融合算法研究[J].空军工程大学学报,2005,(2):69-72

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  • 在线发布日期: 2017-03-23