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题名:
Surface ship target detection in hyperspectral images based on improved variance minimum algorithm
作者: Wang, Zhengzhou1,2,3; Yin, Qinye2; Li, Hongguang3; Hu, Bingliang3
出版日期: 2016
会议名称: 8th International Conference on Digital Image Processing, ICDIP 2016
会议日期: 2016-05-20
会议地点: Chengu, China
关键词: Computational electromagnetics ; Extraction ; Feature extraction ; Independent component analysis ; Mathematical morphology ; Pixels ; Radar target recognition ; Ships ; Spectroscopy ; Target tracking
学科分类: Electricity and Magnetism ; Radar Systems and Equipment ; Chemical Operations
DOI: 10.1117/12.2243872
英文摘要:

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.

收录类别: EI ; ISTP
会议录: Eighth International Conference on Digital Image Processing, ICDIP 2016
会议录出版者: SPIE
语种: 英语
作者部门: 先进光学仪器研究室
卷号: 2016-November
页码: 143-144
产权排序: 1
ISBN号: 9781510605039
ISSN号: 0277786X
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.opt.ac.cn/handle/181661/28507
Appears in Collections:先进光学仪器研究室_会议论文

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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

Recommended Citation:
Wang, Zhengzhou,Yin, Qinye,Li, Hongguang,et al. Surface ship target detection in hyperspectral images based on improved variance minimum algorithm[C]. 见:8th International Conference on Digital Image Processing, ICDIP 2016. Chengu, China. 2016-05-20.
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文件名: Surface ship target detection in hyperspectral images based on improved variance minimum algorithm.pdf
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