Infrared and Laser Engineering, Volume. 44, Issue 10, 3155(2015)
A band selection method based on improved subspace partition
[1] [1] Wang Jingli. Maximum band screening and its application to hyperspectral target detection[J]. Infrared and Laser Engineering, 2012, 41(6): 1514-1519. (in Chinese)
[2] [2] Wang Yiting, Huang Shiqi, Liu Daizhi, et al. Novel band selection method based on target detection[J]. Infrared and Laser Engineering, 2013, 42(8): 2294-2298. (in Chinese)
[3] [3] Bajcsy P, Groves P. Methodology for hyper spectral band selection photogram metric engineering and remote sensing [J]. Photogrammetric Engineering and Remote Sensing Journal, 2004, 70(7): 793-802.
[4] [4] Liu Jianping, Zhao Yingshi, Sun Shuling. Experimental studies about methods on optimal bands selection of hyperspectral remote sensing datasets[J]. Remote Sensing Technology and Application, 2001, 16(1): 7-13. (in Chinese)
[5] [5] Yang Jinhong. Optimal band selection methods of hypersepctral remote sensing data[D]. Nanjing: Nanjing University of Information Science&Technology, 2005.(in Chinese)
[6] [6] Liu Chunhong, Zhao Chunhui, Zhang Lingyan. A new method of hyperspectral remote sensing image dimensional reduction[J]. Journal of Image and Graphics, 2005, 10(2) :218-222.(in Chinese)
[7] [7] Gu Yanfeng, Zhang Ye. Feature extraction based on automatic subspace partition for hypersepctral images[J]. Remote Sensing Technology and Application, 2003, 18(6):32-35. (in Chinese)
[8] [8] Dong Yanhua. Research on key technology of hyperspectral remote sensing image processing[D]. Harbin: Harbin University of Science and Technology, 2006. (in Chinese)
[9] [9] Han Ruimei, Yang Minhua. Study on an improved method of band selection of hypersepctral remote sensing data[J]. Geomatics & Spatial Information Technology, 2010, 33(3):137-139. (in Chinese)
[10] [10] Guo Baofeng, Gunn Steve R, Damper R I. Band selection for hyperspectral image classification using mutual information[J]. IEEE Geoscience and Remote Sensing Letters, 2006, 3(4): 522-526.
[11] [11] Wang Liguo, Wei Fangjie. Band selection for hypersepctral imagery based on combination of genetic algorithm and ant colony algorithm[J]. Journal of Image and Graphics, 2013, 18(2): 235-242. (in Chinese)
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Zhao Huijie, Li Mingkang, Li Na, Ding Hao, Cai Hui. A band selection method based on improved subspace partition[J]. Infrared and Laser Engineering, 2015, 44(10): 3155
Category: 光学图像识别
Received: Feb. 5, 2015
Accepted: Mar. 3, 2015
Published Online: Jan. 26, 2016
The Author Email: Huijie Zhao (hjzhao@buaa.edu.cn)
CSTR:32186.14.