| 光谱学与光谱分析 |
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| Spectral Discrimination Method Information Divergence Combined with Gradient Angle |
| ZHANG Xiu-bao1, YUAN Yan1, JING Juan-juan2,3, SUN Cheng-ming1, WANG Qian1 |
1. Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, Beihang University, Beijing 100191, China
2. Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, China
3. Graduate University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract The present paper proposes a spectral discrimination method combining spectral information divergence with spectral gradient angle (SID×tan(SGAπ/2)) which overcomes the shortages of the existing methods which can not take the whole spectral shape and local characteristics into account simultaneously. Using the simulation spectra as input data, according to the interferogram acquirement principle and spectrum recovery algorithm of the temporally and spatially modulated Fourier transform imaging spectrometer (TSMFTIS), we simulated the distortion spectra recovery process of the TMSFTIS in different maximum mix ratio and distinguished the difference between the recovered spectra and the true spectrum by different spectral discrimination methods. The experiment results show that the SID×tan(SGAπ/2) can not only identify the similarity of the whole spectral shapes, but also distinguish local differences of the spectral characteristics. A comparative study was conducted among the different discrimination methods. The results have validated that the SID×tan(SGAπ/2) has a significant improvement in the discriminatory ability.
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Received: 2010-05-10
Accepted: 2010-09-25
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Corresponding Authors:
ZHANG Xiu-bao
E-mail: xiubaozhang@yahoo.com.cn
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[1] Christophe E, Léger D, Mailhes C. IEEE Trans. Geosci. Reomte Sens., 2005, 43(9): 2103.
[2] Robila S A, Gershman A. IEEE, 2005, 1: 163.
[3] SHI Da-lian, Lü Qun-bo, CUI Yan, et al(石大莲, 吕群波, 崔 燕, 等). Acta Photonica Sinica(光子学报), 2009, 38(6): 1530.
[4] Hu B, Qian S E, Haboudane D, et al. Remote Sens. Environ., 2004, 92: 139.
[5] Qian S E. IEEE Trans. Geosci. Reomte Sens., 2004, 42(8): 1791.
[6] Landgrebe D. IEEE Signal Process. Mag., 2002, 19(1): 17.
[7] Eskicioglu A M, Fisher P S. IEEE Trans. Commun., 1995, 43(12): 2959.
[8] XU Wei-dong, YIN Qiu, KUANG Ding-bo(许卫东, 尹 球, 匡定波). Journal of Infrared and Millimeter Waves(红外与毫米波学报), 2005, 24(4): 296.
[9] Aiazzi B, Alparone L, Baronti S, et al. Proc. SPIE, 2004, 5208: 141.
[10] Kruse F A, Lekoff A B, Boardman J W, et al. Remote Sens. Environ., 1993, 44: 145.
[11] Carvalho O A, Meneses P R. NASA JPL(Jet Propulsion Laboratory) AVIRIS(Airborne Visible/Infrared Image Spectrometer) Workshop, 2000. 65.
[12] Chang C I. IEEE Trans. Inf. Theory, 2000, 46(5): 1927.
[13] Du Y Z, Chang C I, Ren H, et al. Opt. Eng., 2004, 43(8): 1777.
[14] Robila S. An Investigation of Spectral Metrics in Hyperspectral Image Preprocessing for Classification. in: Proc. ASPRS(American Society for Photogrammetry and Remote Sensing). Annual Conf., Baltimore, Maryland, Mar. 7-11, 2005.
[15] Xiangli Bin, Gao Zhan, An Bao-qing. Proc. SPIE, 1998, 3502: 30.
[16] Horton R F, Byers T, Conger C, et al. Proc. SPIE, 2000, 4132: 195.
[17] XIANGLI Bin, YUAN Yan, Lü Qun-bo(相里斌, 袁 艳, 吕群波). Acta Physica Sinica(物理学报), 2009, 58(8): 5399.
[18] Lü Qun-bo, XIANGLI Bin, YAO Tao, et al(吕群波, 相里斌, 姚 涛, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2010, 30(1): 142.
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