光电工程, 2012, 39 (6): 71, 网络出版: 2012-06-25   

基于矩阵模式的高光谱波段选择方法

An Efficient Hyperspectral Band Selection Method Based on Matrix Mode
作者单位
1 中国科学院安徽光学精密机械研究所环境光学与技术重点实验室,合肥 230031
2 合肥师范学院数学系,合肥 230061
引用该论文

于绍慧, 张玉钧, 赵南京, 肖雪, 王欢博. 基于矩阵模式的高光谱波段选择方法[J]. 光电工程, 2012, 39(6): 71.

YU Shao-hui, ZHANG Yu-jun, ZHAO Nan-jing, XIAO Xue, WANG Huan-bo. An Efficient Hyperspectral Band Selection Method Based on Matrix Mode[J]. Opto-Electronic Engineering, 2012, 39(6): 71.

参考文献

[1] 姜小光,王长耀,王成. 成像光谱数据的光谱信息特点及最佳波段选择 -以北京顺义区为例 [J]. 干旱区地理,2003,2(3): 214-220. JIANG Xiao-guang,WANG Chang-yao,WANG Cheng. Optimum band selection of hyperspectral remote sensing data [J]. Arid Land Geography,2003,2(3):214-220.

[2] CHACVEZ P S,BERLN G L,SOWERS L B. Statistical method for selecting Landsat MSS ratios [J]. Journal of Applied Photographic Engineering (S0098-7298),1982,8(1):23-30.

[3] ARZUAGA-CRUZ E,JIMENEZ-RODRIGUEZ L O,VELEZ-REYES M. Unsupervised feature extraction and band subset selection techniques based on relative entropy criteria for hyperspectral data analysis [C]// Proc of SPIE Algorithm and Technologies for Multispectral,Hyperspectral,and Ultrospectral Imagery,Orlando,FL,USA,April 21,2003:462-473.

[4] BAJCSY P,GROVES P. Methodology for hyperspectral band selection [J]. Photogrammetric Engineering and Remote Sensing (S0099-1112),2004,70(7):793-802.

[5] SHEFFIELD C. Selecting band combinations from multispectral data [J]. Photogrammetric Engineering & Remote Sensing (S0099-1112),1985,51(6):681-687.

[6] 刘春红,赵春晖,张凌雁 . 一种新的高光谱遥感图像降维方法 [J].中国图象图形学报,2005,10(2):218-222. LIU Chun-hong,ZHAO Chun-hui,ZHANG Ling-yan. A new method of hyperspectral remote sensing image dimensional reduction [J]. China Journal of Image and Graphics,2005,10(2):218-222.

[7] 苏红军,杜培军,盛业华 . 高光谱遥感数据光谱特征提取算法与分类研究 [J]. 计算机应用研究,2008,25(4):1093-1096. SU Hong-jun,DU Pei-jun,SHENG Ye-hua. Study on feature extraction and experiment of hyperspectral data [J]. Application Research of Computers,2008,25(4):1093-1096.

[8] 苏红军,盛业华, YANG He,等. 基于正交投影散度的高光谱遥感波段选择算法 [J].光谱学与光谱分析, 2011,31(5): 1309-1313. SU Hong-jun,SHENG Ye-hua,YANG He,et al. Orthogonal projection divergence-based hyperspectral band selection [J]. Spectroscopy and Spectral Analysis,2011,31(5):1309-1313.

[9] 何元磊,刘代志,易世华 . 一种新的高光谱图像波段选择方法 [J].光电工程,2010,37(9):122-126. HE Yuan-lei,LIU Dai-zhi,YI Shi-hua. A new band selection method for Hyperspectral images [J]. Opto-Electronic Engineering,2010,37(9):122-126.

[10] KWAK N,CHOI C-H. Input feature selection for classification problems [J]. IEEE Trans. Neural Networks(S0893-6080), 2002,13(1):143-159.

[11] CHANG C I. An information-theoretic approach to spectral variability,similarity,and discrimination for hyperspectral image analysis [J]. IEEE Transactions on Information Theory(S0018-9448),2000,46(5):1927-1932.

[12] KRUSE F A,LEFKOFF A B,BOARDMAN J W,et al. The Spectral Image Processing System (SIPS)-Interactive Visualization and Analysis of Imaging Spectrometer Data [J]. Remote Sensing Environment(S0034-4257),1993,44(2):145-163.

[13] KESHAVA N. Best bands selection for detection in hyperspectral Processing [C]// Proceedings of the IEEE International Conference in Acoustics,Speech,and Signal Processing,Salt Lake City,UT,USA,May 7-11,2001,5:3149-3152.

于绍慧, 张玉钧, 赵南京, 肖雪, 王欢博. 基于矩阵模式的高光谱波段选择方法[J]. 光电工程, 2012, 39(6): 71. YU Shao-hui, ZHANG Yu-jun, ZHAO Nan-jing, XIAO Xue, WANG Huan-bo. An Efficient Hyperspectral Band Selection Method Based on Matrix Mode[J]. Opto-Electronic Engineering, 2012, 39(6): 71.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!