| 高光谱图像目标检测算法分析 |
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| 引用本文： | 孙林,鲍金河,刘一超.高光谱图像目标检测算法分析[J].测绘科学,2012(1):131-132,108. |
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| 作者姓名： | 孙林 鲍金河 刘一超 |
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| 作者单位： | 空军航空大学特种专业系 |
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| 摘 要： | 本文将国内外的高光谱图像目标检测算法分为光谱异常检测、光谱匹配检测和高光谱与高空间分辨率结合目标检测三种检测算法,分析了三种检测算法的原理、应用特点和局限性,并探讨了目标检测算法的发展的可能性。
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| 关 键 词： | 高光谱图像 目标检测 光谱匹配 VCA |
A summary on the development of current target detection algorithms for hyperspectral imagery |
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| SUN Lin,BAO Jin-he,LIU Yi-chao.A summary on the development of current target detection algorithms for hyperspectral imagery[J].Science of Surveying and Mapping,2012(1):131-132,108. |
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| Authors: | SUN Lin BAO Jin-he LIU Yi-chao |
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| Institution: | (Special Information Department,Aviation University of Air Force,Changchun 130022,China) |
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| Abstract: | Target detection for hyperspectral imagery is an important part in the application of hyperspectral imagery,and the research on target detection will be helpful to the deep use of hyperspectral imagery.This paper divided target detection algorithms for hyperspectral imagery into three categories,which are spectral anomaly detection,spectral matching detection and target detection making use of both hyperspectral and high spatial resolution imagery.Then,the development of current algorithms was summarized.This paper also analyzed the theories,application characteristics and limitations of these three algorithms.In the end,the direction of future target detection algorithms was discussed. |
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| Keywords: | hyperspectral imagery target detection spectral matching VCA |
| 本文献已被 CNKI 等数据库收录！ |
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