遥感技术与应用 2010, Vol. 25 Issue (1): 77-83 DOI: 10.11873/j.issn.1004-0323.2010.1.77 |
研究与应用 |
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比较研究目标探测算法在地质小目标探测上的性能 |
魏欣欣,燕守勋 |
中国科学院遥感应用研究所高光谱实验室,北京 100101 |
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A Comparative Research on the Performance of Target Detection Algorithms for Small Geological Targets Exploitation |
WEI Xin-xin,YAN Shou-xun |
Hyperspectral Remote Sensing Laboratory,Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China |
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[2]Gao Lianru.Spectra Enhancement and Feature Extraction for Target Detection in Hyperspectral Imagery [D] .Beijing:Institute of Remote Sensing Application Chinese Academy of Sciences,2007.[高连如.高光谱遥感目标探测中的信息增强与特征提取研究[D] .北京:中国科学院遥感应用研究所,2007.]
[3]Stein D W J,Beaven S G,Hoff L E,et al.Anomaly Detection from Hyperspectral Imagery[J].IEEE Signal Processing Magazine,2002,1:60-63.
[4]Liu Xiang.Target Detection on Hyperspectral Imagery Based on Transformation of Spectral Dimensions [D] .Beijing:Institute of Remote Sensing Application Chinese Academy of Science,2008.[刘翔.基于光谱维变换的高光谱图像目标探测研究[D] .北京:中国科学院遥感应用研究所,2008.]
[5]Manolakis D,Marden D.Hyperspectral Image Processing for Automatic Target Detection Applications[J].Lincoln Laboratory Journal,2003,14(1):85-105.
[6]Chang C I.Automatic Subpixel Detection:Anomaly Detection in Hyperspectral Imaging Techniques for Spectral Detection and Classification[M].New York,Boston:Kluwer Academic/Plenum Publishers,2003.
[7]Yan Shouxun.Summarizing the VIS-NIR Spectra of Minerals and Rocks[J].Remote Sensing Techonoly and Application,2003,18(4):191-198.[燕守勋.矿物与岩石的可见-近红外光谱特性综述[J].遥感技术与应用,2003,18(4):191-198.]
[8]Chang C I.Least Square Subspace Projection Approach to Mixed Pixel Classification for Hyperspectral Images[J].IEEE Transaction on Geosciences and Remote Sensing,1998,36(3):898-912.
[9]Schaum A,Stocker A.Linear Chromodynamics Models for Hyperspectral Target Detection[C]//IEEE Aerospace Conference,February,2003.
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