高光谱遥感影像海上舰船目标检测算法的研究

Research of Sea Fleet Targets Detection Approach in Hyperspectral Image

提出一种基于独立分量分析的高光谱遥感影像海上舰船目标检测方法。首先借助快速独立分量分析(FICA),将高维数据中隐藏的舰船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舰船目标。实验证明,此算法精度较高,适用于对杂波背景中的舰船目标进行提取。

This paper presents a sea fleet targets detection approach based on independent component analysis in hyperspectral data.Firstly it uses fast independent component analysis(FICA) approach to collect the fleet targets information hided in the high-dimensional data and project them into low-dimensional space,then selects feature images with kurtosis.At last it extracts fleet targets with histogram image segmentation method which has been labeled by skewness.It is proveds that this algorithm adapts to detect sea fleet targets at waves in hyperspectral data and has an excellent precision result.