A robust hyperspectral image compression method

SU Ling-hua; LI Gang; YI Tong-sheng; WAN Jian-wei

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A robust hyperspectral image compression method

Article | 更新时间：2020-08-12

- A robust hyperspectral image compression method
- Optics and Precision Engineering Vol. 15, Issue 10, Pages: 1609-1615(2007)
- 作者机构：
  
  1. 国防科技大学电子科学与工程学院,湖南长沙,410073
  2. 空军大连通信士官学校大连 116600
  3. .92941部队,辽宁葫芦岛 125000
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919.81;TP751.1
- Received：30 January 2007，
  
  Revised：29 June 2007，
  
  Published Online：30 October 2007，
  
  Published：30 October 2007
- 稿件说明：
移动端阅览
苏令华,李纲,衣同胜,万建伟. 一种稳健的高光谱图像压缩方法[J]. 光学精密工程, 2007,15(10):1609-1615

SU Ling-hua, LI Gang, YI Tong-sheng, et al. A robust hyperspectral image compression method[J]. Optics and precision engineering, 2007, 15(10): 1609-1615.
苏令华,李纲,衣同胜,万建伟. 一种稳健的高光谱图像压缩方法[J]. 光学精密工程, 2007,15(10):1609-1615 DOI：

SU Ling-hua, LI Gang, YI Tong-sheng, et al. A robust hyperspectral image compression method[J]. Optics and precision engineering, 2007, 15(10): 1609-1615. DOI：

摘要

提出了一种稳健的高光谱图像压缩技术。估计原始数据的虚拟维数

继而采用一种非监督的正交子空间投影技术提取端元矢量

构成矩阵作为快速独立分量分析的初始化混合矩阵

进行ICA变换。对变换后的独立分量图

采用二维分层树集合分裂进一步压缩编码。计算机仿真结果表明

该压缩算法在取得40∶1压缩比的同时

能有效地保持数据

尤其是小目标和异常的谱向特征

是一种高效的三维数据压缩方法

可有效地应用在小目标检测及异常检测中。

Abstract

A robust hyperspectral image compression method is proposed for the detection of small target and abnormity. The virtual dimensionality of original data is estimated

then the endmember vectors are extracted using an unsupervised orthogonal subspace projection method. Fast-ICA transformation is performed with the endmember vectors as initialization matrix

and the IC images are coded by 2D Set Partitioning in Hierarchical Trees (SPIHT). The experiment results show that the algorithm has a high compression ratio (40∶1)

while the spectral characteristics are preserved. This algorithm is an efficient 3D compression method for the detection of small target and abnormity.

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Related Institution

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