光谱学与光谱分析 |
|
|
|
|
|
A Method for Auto-Extraction of Spectral Lines Based on Sparse Representation |
ZHAO Rui-zhen1, WANG Fei1, LUO A-li2, ZHANG Yan-xia2 |
1. Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China 2. National Observatory of Astronomy, Chinese Academy of Sciences, Beijing 100012, China |
|
|
Abstract A new method for auto-extraction of spectral lines based on sparse representation is presented in the present paper. Firstly, the authors proposed a wavelet denoising scheme using a new theory called sparse representation for noise removal. After performing wavelet transform on the spectral signal, this method implements noise removal by solving an optimization problem, which makes the wavelet coefficients at each scale sparsest. The proposed method not only takes the structure properties in the wavelet coefficients into consideration, but also can well maintain the local characteristics of wavelet coefficients. Therefore it can effectively keep the information of featured spectral lines during the process of denoising. Secondly, the authors got satisfying continua by respectively utilizing the wavelet transform method and spline fitting method. The strong spectral lines were firstly removed from the given spectrum with wavelet transform, leading to the result that the obtained continuum approximated the real one very well. Finally, the spectrum was divided point to point by the obtainable continuum and the normalized spectrum was obtained. And then spectral lines were extracted from the normalized spectrum by using adaptive local thresholding scheme. Experimental results show that the proposed method is effective and efficient in the application of auto-extraction of spectral lines. The authors’ method will be also helpful for the automatic classification of astronomical spectra.
|
Received: 2008-05-08
Accepted: 2008-08-12
|
|
Corresponding Authors:
ZHAO Rui-zhen
E-mail: rzhzhao@bjtu.edu.cn
|
|
[1] ZHAO Rui-zhen, HU Zhan-yi, ZHAO Yong-heng(赵瑞珍,胡占义,赵永恒). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2005, 25(1): 153. [2] DUAN Fu-qing, WU Fu-chao, LUO A-li, et al(段福庆,吴福朝,罗阿理,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)2005, 25(11): 1884. [3] LIU Rong, LIU San-yang, ZHAO Rui-zhen(刘蓉,刘三阳,赵瑞珍). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(3): 583. [4] LIU Rong, DUAN Fu-qing, LIU San-yang(刘蓉,段福庆,刘三阳). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2007, 27(8): 1648. [5] ZHOU Hong, HUANG Ling-yun, LUO Man-li(周虹, 黄凌云, 罗曼丽). J. of Electronics(电子科学学刊), 2000, 22(4): 529. [6] LIU Zhong-tian, WU Fu-chao, LUO A-li, et al(刘中田,吴福朝,罗阿理,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(2): 372. [7] Donoho D L. IEEE Trans. Inform. Theory, 2006, 52(4):1289. [8] Candès E J, Romberg J, Tao T. IEEE Trans. Information Theory, 2006, 52(2): 489. [9] ZHAO Rui-zhen, HU Zhan-yi(赵瑞珍,胡占义). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2007, 27(1): 198. [10] ZHAO Rui-zhen, HU Zhan-yi, HU Shao-hai(赵瑞珍,胡占义,胡绍海). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2007, 27(8): 1644. [11] Baraniuk R G. IEEE Signal Processing Magazine, 2007, 24(4):118. [12] Haupt J,Nowak R. IEEE Trans. Inform. Theory, 2006, 52(9): 4036 . [13] Zhao R, Li C C, Liu X,et al. 34th Northeast Bioengineering Conference, Brown University, April 4-6, 2008. 312. [14] Candès E J Tao T. IEEE Trans. Inform. Theory, 2006, 52(12): 5406. [15] Pizurica A, Philips W, Lemahieu I, et al. IEEE Trans. on Image Processing, 2002, 11(5): 545. [16] ZHAO Rui-zhen, LUO A-li(赵瑞珍,罗阿理). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2006, 26(3): 587.
|
[1] |
FAN Ping-ping,LI Xue-ying,QIU Hui-min,HOU Guang-li,LIU Yan*. Spectral Analysis of Organic Carbon in Sediments of the Yellow Sea and Bohai Sea by Different Spectrometers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 52-55. |
[2] |
YANG Chao-pu1, 2, FANG Wen-qing3*, WU Qing-feng3, LI Chun1, LI Xiao-long1. Study on Changes of Blue Light Hazard and Circadian Effect of AMOLED With Age Based on Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 36-43. |
[3] |
BAO Hao1, 2,ZHANG Yan1, 2*. Research on Spectral Feature Band Selection Model Based on Improved Harris Hawk Optimization Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 148-157. |
[4] |
LI Qi-chen1, 2, LI Min-zan1, 2*, YANG Wei2, 3, SUN Hong2, 3, ZHANG Yao1, 3. Quantitative Analysis of Water-Soluble Phosphorous Based on Raman
Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3871-3876. |
[5] |
LIANG Jin-xing1, 2, 3, XIN Lei1, CHENG Jing-yao1, ZHOU Jing1, LUO Hang1, 3*. Adaptive Weighted Spectral Reconstruction Method Against
Exposure Variation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3330-3338. |
[6] |
MA Qian1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, CHENG Hui-zhu1, 2, ZHAO Yan-chun1, 2. Research on Classification of Heavy Metal Pb in Honeysuckle Based on XRF and Transfer Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2729-2733. |
[7] |
HUANG Chao1, 2, ZHAO Yu-hong1, ZHANG Hong-ming2*, LÜ Bo2, 3, YIN Xiang-hui1, SHEN Yong-cai4, 5, FU Jia2, LI Jian-kang2, 6. Development and Test of On-Line Spectroscopic System Based on Thermostatic Control Using STM32 Single-Chip Microcomputer[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2734-2739. |
[8] |
ZHENG Yi-xuan1, PAN Xiao-xuan2, GUO Hong1*, CHEN Kun-long1, LUO Ao-te-gen3. Application of Spectroscopic Techniques in Investigation of the Mural in Lam Rim Hall of Wudang Lamasery, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2849-2854. |
[9] |
WANG Jun-jie1, YUAN Xi-ping2, 3, GAN Shu1, 2*, HU Lin1, ZHAO Hai-long1. Hyperspectral Identification Method of Typical Sedimentary Rocks in Lufeng Dinosaur Valley[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2855-2861. |
[10] |
WANG Jing-yong1, XIE Sa-sa2, 3, GAI Jing-yao1*, WANG Zi-ting2, 3*. Hyperspectral Prediction Model of Chlorophyll Content in Sugarcane Leaves Under Stress of Mosaic[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2885-2893. |
[11] |
ZHU Yan-ping1, CUI Chuan-jin1*, CHENG Peng-fei1, 2, PAN Jin-yan1, SU Hao1, 2, ZHANG Yi1. Measurement of Oil Pollutants by Three-Dimensional Fluorescence
Spectroscopy Combined With BP Neural Network and SWATLD[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2467-2475. |
[12] |
WANG Yu-qi, LI Bin, ZHU Ming-wang, LIU Yan-de*. Optimizations of Sample and Wavelength for Apple Brix Prediction Model Based on LASSOLars Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1419-1425. |
[13] |
LI Shuai-wei1, WEI Qi1, QIU Xuan-bing1*, LI Chuan-liang1, LI Jie2, CHEN Ting-ting2. Research on Low-Cost Multi-Spectral Quantum Dots SARS-Cov-2 IgM and IgG Antibody Quantitative Device[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1012-1016. |
[14] |
JIN Cui1, 4, GUO Hong1*, YU Hai-kuan2, LI Bo3, YANG Jian-du3, ZHANG Yao1. Spectral Analysis of the Techniques and Materials Used to Make Murals
——a Case Study of the Murals in Huapen Guandi Temple in Yanqing District, Beijing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1147-1154. |
[15] |
DING Kun-yan1, HE Chang-tao2, LIU Zhi-gang2*, XIAO Jing1, FENG Guo-ying1, ZHOU Kai-nan3, XIE Na3, HAN Jing-hua1. Research on Particulate Contamination Induced Laser Damage of Optical Material Based on Integrated Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1234-1241. |
|
|
|
|