光谱学与光谱分析 |
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Lithology Feature Extraction of CASI Hyperspectral Data Based on Fractal Signal Algorithm |
TANG Chao1, 2, CHEN Jian-ping1, 2*, CUI Jing1, WEN Bo-tao1 |
1. China University of Geosciences, Beijing 100083, China 2. Laboratory of Beijing Land Resources Information Development, China University of Geosciences, Beijing 100083, China |
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Abstract Hyperspectral data is characterized by combination of image and spectrum and large data volume dimension reduction is the main research direction. Band selection and feature extraction is the primary method used for this objective. In the present article, the authors tested methods applied for the lithology feature extraction from hyperspectral data. Based on the self-similarity of hyperspectral data, the authors explored the application of fractal algorithm to lithology feature extraction from CASI hyperspectral data. The “carpet method” was corrected and then applied to calculate the fractal value of every pixel in the hyperspectral data. The results show that fractal information highlights the exposed bedrock lithology better than the original hyperspectral data. The fractal signal and characterized scale are influenced by the spectral curve shape, the initial scale selection and iteration step. At present, research on the fractal signal of spectral curve is rare, implying the necessity of further quantitative analysis and investigation of its physical implications.
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Received: 2013-09-10
Accepted: 2013-12-19
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Corresponding Authors:
CHEN Jian-ping
E-mail: 3s@cugb.edu.cn
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[1] ZHANG Bing, CHEN Zheng-chao, ZHENG Lan-fen, et al(张 兵, 陈正超, 郑兰芬,等). Journal of Infrared Millimeter Waves(红外与毫米波学报), 2004, 23(6): 441. [2] SU Hong-jun,DU Pei-jun(苏红军,杜培军). Remote Sensing Technology and Application(遥感技术与应用), 2006, 21(4): 288. [3] Pilpot W D. IEEE Transactionon Geoscience and Remote Sensing, 1991, 29(3): 350. [4] LIU Xiao-gang, ZHAO Hui-jie, LI Na(刘小刚, 赵慧洁, 李 娜). Acta Optica Sinica(光学学报),2009,29(3): 844. [5] ZHAO Hui-jie, CAI Hui, LI Na(赵慧洁,蔡 辉,李 娜). Journal of Beijing University of Aeronautics and Astronautics(北京航空航天大学学报), 2012, 38(10): 1317. [6] ZHANG Xian-feng,PAZNER Micha(张显峰,PAZNER Micha). Journal of Image and Graphics(中国图象图形学报),2007, 12(6): 981. [7] DU Pei-jun, FANG Tao, TANG Hong, et al(杜培军,方 涛,唐 宏,等). Acta Photonica Sinica(光子学报), 2005, 34(2): 293. [8] HU Qing-wu, YUAN Hui, SU Jun-ying(胡庆武, 袁 辉, 苏俊英). Journal of Applied Sciences-Eleetronies and Information Engineering(应用科学学报), 2012, 30(6): 635. [9] Zhang Huaguo, Huang Weigen, Zhou Changbao. Proc. of SPIE, 2003, 4897: 292. [10] Peleg S, Naor J, Hartley R, et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1984, 6(6): 661. [11] ZHOU Zi-yong(周子勇). Remote Sensing Technology and Application(遥感技术与应用), 2011, 26 (4): 426. [12] Dong P L. Advances in Space Research, 2008, 41(11): 1733. |
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