光子学报, 2010, 39 (10): 1830, 网络出版: 2010-12-07   

一种背景误差累积的高光谱图像异常检测算法

A Kind of Anomaly Detection Algorithm for Hyperspectral Image through Background Error Cumulation
作者单位
哈尔滨工程大学 信息与通信工程学院 哈尔滨 150001
摘要
针对背景信息对高光谱图像异常检测的强干扰问题,提出了一种背景误差累积的异常检测算法.该算法通过构造背景子空间,利用各像素到该子空间的正交投影,得到有效抑制背景并突显目标的背景误差数据,用于后续的异常目标检测.最后用真实的高光谱数据进行仿真实验,理论分析比较和实验结果表明该算法具有较好的检测效果.
Abstract
Reckoning on the strong interfere of background information to anomaly detection for hyperspectral image,a kind of anomaly detection algorithm based on background error cumulation is proposed.First,it constructs the background subspace.Then it projects every pixel into this subspace to obtain background error data for later anomaly detection,which suppresses background and makes target stand out.Experiments on real hyperspectral image show that the proposed algorithm outperforms other algorithms,and obtains better detection results.
参考文献

[1] 王志平,杨建峰,薛彬,等.利用高光谱数据进行地物识别分类研究[J].光子学报,2008,37(3):561-565.

    WANG Zhi-ping,YANG Jian-feng,XUE Bin,et al.Using hyperspectral data for land cover identification and classification[J].Acta Photonica Sinica,2008,37(3):561-565.

[2] 童庆禧,张兵,郑兰芬.高光谱遥感——原理、技术与应用[M].北京:高等教育出版社,2006:206.

    TONG Qing-xi,ZHANG Bing,ZHENG Lan-fen.Hyperspectral remote-Principle,technique and application[M].Beijing:Higher Education Press,2006:206.

[3] . Hyperspectral image classification and dimensionality reduction:An orthogonal subspace projection approach[J]. IEEE Transactions on Geoscience and Remote Sensing, 1994, 32(4): 779-785.

[4] 寻丽娜,方勇华,李新.基于CEM的高光谱图像小目标检测算法[J].光电工程,2007,34(7):19-20.

    XUN Li-na,FANG Yong-hua,LI Xin.Target detection algorithm in hyperspectral image based on CEM[J].Opto—Electronic Engineering,2007,34(7):19-20.

[5] 邸韡,潘泉,贺霖,等.基于多检测器最大熵融合的多通道光谱图像异常检测[J].光子学报,2007,36(7):1338-1344.

    DI Wei,PAN Quan,HE Lin,et al.Anomaly detection in multi-band spectral imagery based on multiple-detector maximum entropy fusion[J].Acta Photonica Sinica,2007,36(7):1338-1344.

[6] 张立燕,堪德荣,李世义,等.基于低概率检测的高光谱图像有损压缩方法研究[J].弾箭与制导学报,2008,28(1):308-309.

    ZHANG Li-yan,KAN De-rong,LI Shi-yi,et al.Research on hyperspectral imagery loss compression method based on low probability detection[J].Journal of Projetiles,Rockets,Missiles and Guidance,2008,28(1):308-309.

[7] 贺霖,潘泉,赵永强,等.基于波段子集特征融合的高光谱图像异常检测[J].光子学报,2005,34(11):1752-1755.

    HE Lin,PAN Quan,ZHAO Yong-qiang,et al.Anomaly detection in hyperspectral imagery based on feature fusion of band subsets[J].Acta Photonica Sinaca,2005,34(11):1752-1755.

[8] 李智勇,匡纲要,郁文贤,等.基于高光谱图像主成分分量的小目标检测算法研究[J].红外与毫米波学报,2004,23(4):286-290.

    LI Zhi-yong,KUANG Gang-yao,YU Wen-xian,et al.Algorithm on small target detection base on principal component of hyperspectral imagery[J].J Infrared Millim Waves,2004,23(4):286-290.

[9] 谷延锋,刘颖,贾友华,等.基于光谱解译的高光谱图像奇异检测算法[J].红外与毫米波学报,2006,25(6):473-477.

    GU Yan-feng,LIU Ying,JIA You-hua,et al.Anomaly detection algorithm of hyperspectral images based on spectral analyses[J].J Infrared Millim Waves,2006,25(6):473-477.

[10] HEESUNG K,NASRABADI N M.Kernel RX-algorithm:a nonlinear anomaly detector for hyperspectral imagery[J].Geoscience and Remote Sensing[J].IEEE Transactions on.2005,43(2):388-397.

[11] SCHOLKOPF B,SMOLA A J.Learning with Kernels[M].Cambrige:The MIT Press,2002.

[12] . Kernel principal component analysis[J]. Neural Computation, 1999, 9(10): 1299-1319.

[13] 李智勇,匡纲要,邹焕新,等.基于特征层融合的高光谱图像异常检测算法研究[J].遥感学报,2003,7(4):304-308.

    LI Zhi-yong,KUANG Gang-yao,ZOU Huan-xin,et al.Research of anomaly detection approaches based on feature fusion in hyperspectral imagery[J].Journal of Remote Sensing,2003,7(4):304-308.

赵春晖, 胡春梅, 包玉刚. 一种背景误差累积的高光谱图像异常检测算法[J]. 光子学报, 2010, 39(10): 1830. ZHAO Chun-hui, HU Chun-mei, BAO Yu-gang. A Kind of Anomaly Detection Algorithm for Hyperspectral Image through Background Error Cumulation[J]. ACTA PHOTONICA SINICA, 2010, 39(10): 1830.

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