路威, 余旭初, 刘德刚. 基于独立分量分析的高光谱影像小目标提取研究[J]. 武汉大学学报 ( 信息科学版), 2005, 30(12): 1071-1074.
引用本文: 路威, 余旭初, 刘德刚. 基于独立分量分析的高光谱影像小目标提取研究[J]. 武汉大学学报 ( 信息科学版), 2005, 30(12): 1071-1074.
LU Wei, YU Xuchu, LIU Degang. Research on Small Targets Extraction Based on ICA in Hyperspectral[J]. Geomatics and Information Science of Wuhan University, 2005, 30(12): 1071-1074.
Citation: LU Wei, YU Xuchu, LIU Degang. Research on Small Targets Extraction Based on ICA in Hyperspectral[J]. Geomatics and Information Science of Wuhan University, 2005, 30(12): 1071-1074.

基于独立分量分析的高光谱影像小目标提取研究

Research on Small Targets Extraction Based on ICA in Hyperspectral

  • 摘要: 借助快速独立分量分析(FICA)将高维数据中隐藏的目标信息集中投影到低维特征影像中,然后以峰度为特征度量指标选择特征影像,最后用以偏斜为指标的直方图分割方法提取小目标。实验证明,此算法精度较高,适用于对高光谱影像中的小目标进行提取。

     

    Abstract: This paper present a small targets detection approach based on independent component analysis in hyperspectral data.Firstly,this algorithm uses fast independent component analysis(FICA) approach to collect the targets information hided in the high-dimensional data and projects them into low-dimensional space.Secondly,selects feature images with kurtosis.At last,extracts small targets with histogram image segmentation method which has been labeled by skewness.

     

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