An Unstructured Sub-pixel Target Detector for Hyperspectral Imagery

摘要：

As the spatial resolution of hyperspectral imagery is usually limited, sub-pixel targets only occupy part of the pixel area. Unstructured detectors, such as adaptive cosine estimate (ACE), has shown promising performance in sub-pixel targets detection, which models the background with a distribution property. This paper proposes a unstructured detector in which selective endmembers are used according to different pixels to ensure that the true composition of endmembers in each pixel is utilized in both the subspace model and the statistical test. Experiments show its better performance for sub-Dixel tareets detection than other unstructured detector.

作者: Du Bo Wu Ke Zhang Liangpei MaTaolin ChenTao WeiLifei

作者单位: Computer School, Wuhan University Institute of Geophysics & Geomatics, China University of Geosciences LIESMARS, Wuhan University Print School, Wuhan University

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 469-472

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）