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.348. 智能系统学报 第9卷 2013,23(4):92-96. vector data description for anomaly detection in hyperspec- [5]肖雄斌,厉小润,赵辽英.基于最小噪声分离变换的高 tral imagery combined with neighboring clustering segmen- 光谱异常检测方法研究[J].计算机应用与软件,2012, tation[J].Journal of Astronautics,2007,28(3):767-771. 29(4):125-128. [13]张立燕.高光谱图像异常检测算法研究[D].北京:北京 XIAO Xiongbin,LI Xiaorun,ZHAO Liaoying.On anomaly 理工大学,2007:111 detection of hyperspectral image based on minimum noise ZHANG Liyan.Hyperspectral image anomaly detection al- fraction[J].Computer Applications and Software,2012,29 gorithm research[D].Beijing:Beijing Institute of Technol- (4):125-128. 0g,2007:111. [6]成宝芝,赵春晖,王玉磊.基于四阶累积量的波段子集 [14]何守印,张立燕。支持向量异常检测在图像有损压缩中 高光谱图像异常检测[J刀.光电子·激光,2012,23(8): 的应用[J].电子器件,2008,31(2):410-413. 1582-1588. HE Shouyin,ZHANG Liyan.Research on image compres- CHENG Baozhi,ZHAO Chunhui,WANG Yulei.Anomaly sion method based on anomaly detection[J].Chinese Jour- detection of hyperspectral image for band subsets based on nal Of Electron Devices,2008,31(2):410-413. fourth order cumulant[]].Journal of Optoelectronics.La- [15]陶鹏,谌德荣,范宁军,等.基于RFS和ART的高光谱 ser,2012.23(8):1582-1588. 图像主成分提取方法[J].中北大学学报:自然科学版 [7]HARSANYI J C.Detection and classification of subpixel 2010,31(3):286-290. spectral signatures in hyperspectral image sequences[D]. TAO Peng,CHEN Derong,FAN Ningjun,et al.Hyper- Baltimore:University of Maryland,1993:116. spectral image principle component extraction method [8]张立燕,谌德荣,陶鹏.基于顶点成分分析的高光谱图 based on RFS and ART[J].Journal of North University of 像低概率异常检测方法研究[J].宇航学报,2007,28 China Natural Science Edition 2010,31(3):286-290. (5):1262-1265. [16]李杰,赵春晖,梅锋.利用背景残差数据检测高光谱图 ZHANG Liyan,CHEN Derong,TAO Peng.Anomaly detec- 像异常[J].红外与毫米波学报,2010,29(2):150-155. tion for hyperspectral imagery based on vertex component a- LI Jie,ZHAO Chunhui,MEI Feng.Detecting hyperspec- nalysis[J].Journal of Astronautics,2007,28(5):1262- tral anomaly by using background residual error data[J. 1265. Journal of Infrared and Millimeter Waves,2010,29(2): [9]BANERJEE A,BURLINA P,DIEHL C.A support vector 150-155. method for anomaly detection in hyperspectral imagery[J]. 作者简介: IEEE Transactions on Geoscience and Remote Sensing, 曾现灵,女,1989年生,硕士研究 2006.44(8):2282-2291. 生,主要研究方向为高光谱图像处理。 [10]湛德荣,宫久路,何光林,等.高光谱图像全局异常检测 RFS-SVDD算法[J].字航学报,2010,31(1):228-232. CHEN Derong,GONG Jiulu,HE Guanglin,et al.A RFS- SVDD algorithm for hyperspectral global anomaly detection 张立燕,女,1977年生,讲师,博士 [J].Journal of Astronautics,2010,31(1):228-232. [11]蒲晓丰,雷武虎,汤俊杰,等.基于带野值的SVDD的 后,主要研究方向为高光谱图像处理与 高光谱图像异常检测[J].光电工程,2010,37(12): 应用。近年参与国家“863”计划项目1 项、主持北京市教委项目1项,发表学 83-87 术论文13篇。 PU Xiaofeng,LEI Wuhu,TANG Junjie,et al.Anomaly detection for hyperspectral image based on svdd with nega- tive examplesJ.Opto-Electronic Engineering,2010,37 (12):83-87. 胡荣华,男,1987年生,硕士研究 [12]谌德荣,张立燕,陶鹏,等.结合邻域聚类分割的高光谱 生,主要研究方向为高光谱遥感图像处 理及应用。 图像异常检测支持向量数据描述方法[J].宇航学报 2007,28(3):767-771. CHEN Derong,ZHANG Liyan,TAO Peng,et al.Support2013, 23(4): 92⁃96. [5]肖雄斌, 厉小润, 赵辽英. 基于最小噪声分离变换的高 光谱异常检测方法研究[ J]. 计算机应用与软件, 2012, 29(4): 125⁃128. XIAO Xiongbin, LI Xiaorun, ZHAO Liaoying. On anomaly detection of hyperspectral image based on minimum noise fraction[J]. Computer Applications and Software, 2012, 29 (4): 125⁃128. [6]成宝芝, 赵春晖, 王玉磊. 基于四阶累积量的波段子集 高光谱图像异常检测[J]. 光电子·激光, 2012, 23(8): 1582⁃1588. CHENG Baozhi, ZHAO Chunhui, WANG Yulei. Anomaly detection of hyperspectral image for band subsets based on fourth order cumulant[ J]. Journal of Optoelectronics·La⁃ ser, 2012, 23(8): 1582⁃1588. [7] HARSANYI J C. Detection and classification of subpixel spectral signatures in hyperspectral image sequences [ D]. Baltimore: University of Maryland, 1993: 116. [8]张立燕, 谌德荣, 陶鹏. 基于顶点成分分析的高光谱图 像低概率异常检测方法研究[ J]. 宇航学报, 2007, 28 (5): 1262⁃1265. ZHANG Liyan, CHEN Derong, TAO Peng. Anomaly detec⁃ tion for hyperspectral imagery based on vertex component a⁃ nalysis[ J]. Journal of Astronautics, 2007, 28(5): 1262⁃ 1265. [9] BANERJEE A, BURLINA P, DIEHL C. A support vector method for anomaly detection in hyperspectral imagery[ J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(8): 2282⁃2291. [10]谌德荣,宫久路,何光林,等. 高光谱图像全局异常检测 RFS⁃SVDD 算法[J]. 宇航学报, 2010, 31(1): 228⁃232. CHEN Derong, GONG Jiulu, HE Guanglin, et al. A RFS⁃ SVDD algorithm for hyperspectral global anomaly detection [J]. Journal of Astronautics, 2010, 31(1): 228⁃232. [11]蒲晓丰, 雷武虎, 汤俊杰, 等. 基于带野值的 SVDD 的 高光谱图像异常检测[ J]. 光电工程, 2010, 37( 12): 83⁃87. PU Xiaofeng, LEI Wuhu, TANG Junjie, et al. Anomaly detection for hyperspectral image based on svdd with nega⁃ tive examples[ J]. Opto⁃Electronic Engineering, 2010, 37 (12): 83⁃87. [12]谌德荣,张立燕,陶鹏, 等. 结合邻域聚类分割的高光谱 图像异常检测支持向量数据描述方法[ J]. 宇航学报, 2007, 28(3):767⁃771. CHEN Derong, ZHANG Liyan, TAO Peng, et al. Support vector data description for anomaly detection in hyperspec⁃ tral imagery combined with neighboring clustering segmen⁃ tation[J]. Journal of Astronautics, 2007, 28(3):767⁃771. [13]张立燕. 高光谱图像异常检测算法研究[D].北京:北京 理工大学, 2007: 111. ZHANG Liyan. Hyperspectral image anomaly detection al⁃ gorithm research[D]. Beijing: Beijing Institute of Technol⁃ ogy, 2007:111. [14]何守印,张立燕. 支持向量异常检测在图像有损压缩中 的应用[J]. 电子器件, 2008, 31(2): 410⁃413. HE Shouyin, ZHANG Liyan. Research on image compres⁃ sion method based on anomaly detection[J]. Chinese Jour⁃ nal Of Electron Devices, 2008, 31(2): 410⁃413. [15]陶鹏,谌德荣,范宁军, 等. 基于 RFS 和 ART 的高光谱 图像主成分提取方法[J]. 中北大学学报:自然科学版, 2010, 31(3): 286⁃290. TAO Peng, CHEN Derong, FAN Ningjun, et al. Hyper⁃ spectral image principle component extraction method based on RFS and ART[J]. Journal of North University of China Natural Science Edition , 2010, 31(3): 286⁃290. [16]李杰,赵春晖,梅锋. 利用背景残差数据检测高光谱图 像异常[J]. 红外与毫米波学报, 2010, 29(2):150⁃155. LI Jie, ZHAO Chunhui, MEI Feng. Detecting hyperspec⁃ tral anomaly by using background residual error data[ J]. Journal of Infrared and Millimeter Waves, 2010, 29(2): 150⁃155. 作者简介: 曾现灵,女,1989 年生,硕士研究 生,主要研究方向为高光谱图像处理。 张立燕,女,1977 年生,讲师,博士 后,主要研究方向为高光谱图像处理与 应用。 近年参与国家“863”计划项目 1 项、主持北京市教委项目 1 项,发表学 术论文 13 篇。 胡荣华,男,1987 年生,硕士研究 生,主要研究方向为高光谱遥感图像处 理及应用。 ·348· 智 能 系 统 学 报 第 9 卷
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