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Surface ship target detection in hyperspectral images based on improved variance minimum algorithm
Wang, Zhengzhou1,2,3; Yin, Qinye2; Li, Hongguang3; Hu, Bingliang3
2016
会议名称8th International Conference on Digital Image Processing, ICDIP 2016
会议录名称Eighth International Conference on Digital Image Processing, ICDIP 2016
卷号2016-November
页码143-144
会议日期2016-05-20
会议地点Chengu, China
出版者SPIE
产权排序1
摘要

In order to realize the effective detection of surface structure targets in hyperspectral images, an improved target detection algorithm was proposed in this paper presents to solve the CEM algorithm problems which the large object extraction efficiency is low.First, the image was preprocessed, including end-member extraction, SAM classification. Second, after the ship pixels were subtracted from all pixels, the correlation matrix of pure background pixels was constructed to detect ship target. Third, the biggest write region was found as sea region by mathematical morphology. Finally, the false target pixels were removed from all target pixels using the characteristics which ship targets were surrounded in seawater, so the final ship targets were selected in the end. Experimental results show that the final max ratio between the energy of detection target and the energy of background increased greatly, the target signal is enhanced and the background signal is suppressed by the improved algorithm. © 2016 SPIE.

关键词Computational Electromagnetics Extraction Feature Extraction Independent Component Analysis Mathematical Morphology Pixels Radar Target Recognition Ships Spectroscopy Target Tracking
学科领域Electricity And Magnetism
作者部门先进光学仪器研究室
DOI10.1117/12.2243872
收录类别EI ; ISTP
ISBN号9781510605039
语种英语
ISSN号0277786X
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/28507
专题先进光学仪器研究室
作者单位1.School of Electronic and Information Engineering, Xi'An Jiaotong University, Xi'an,Shanxi; 710049, China
2.University of Chinese Academy of Sciences, Beijing; 100049, China
3.Xi'An Institute of Optics and Precision Mechanics Chinese Academy of Science, Xi'an,Shanxi; 710119, China
推荐引用方式
GB/T 7714
Wang, Zhengzhou,Yin, Qinye,Li, Hongguang,et al. Surface ship target detection in hyperspectral images based on improved variance minimum algorithm[C]:SPIE,2016:143-144.
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