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基于去噪的SAR复图像SPIHT压缩算法

向世勇 李春升 陈杰

向世勇, 李春升, 陈杰等 . 基于去噪的SAR复图像SPIHT压缩算法[J]. 北京航空航天大学学报, 2008, 34(03): 271-275.
引用本文: 向世勇, 李春升, 陈杰等 . 基于去噪的SAR复图像SPIHT压缩算法[J]. 北京航空航天大学学报, 2008, 34(03): 271-275.
Xiang Shiyong, Li Chunsheng, Chen Jieet al. Approach based on speckle reduction using SPIHT for data compression of complex SAR image[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(03): 271-275. (in Chinese)
Citation: Xiang Shiyong, Li Chunsheng, Chen Jieet al. Approach based on speckle reduction using SPIHT for data compression of complex SAR image[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(03): 271-275. (in Chinese)

基于去噪的SAR复图像SPIHT压缩算法

基金项目: 教育部"新世纪优秀人才支持计划"基金资助项目(NCET-06-0166)
详细信息
    作者简介:

    向世勇(1976-),男,四川遂宁人,硕士生,syxiang2005@163.com.

  • 中图分类号: TN 957.52

Approach based on speckle reduction using SPIHT for data compression of complex SAR image

  • 摘要: 提出一种对合成孔径雷达(SAR,Synthetic Aperture Radar)复图像压缩的改进的分层树集合分割(SPIHT,Set Partitioning in Hierarchical Trees)算法,高效完成SAR复图像压缩,既有效地保留了SAR复图像的相位信息,又抑制了斑点噪声.首先根据SAR复图像的统计特征进行预处理,然后进行小波变换,对不同子带的小波变换系数采取不同的门限,进行软门限斑点噪声抑制,再经过SPIHT量化编码,得到压缩后的码流.仿真实验表明,在64倍高压缩比的情况下,通过对重建SAR复图像数据的相位误差、等效视数、平均空域相关系数等指标的测量,验证了该算法仍然具有很好的性能.

     

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出版历程
  • 收稿日期:  2007-06-29
  • 网络出版日期:  2008-03-31

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