光谱学与光谱分析 |
|
|
|
|
|
Application of 1D Wavelet Analysis in Detecting Species of Harmful Algae Blooms with Absorption Spectra of Phytoplankton |
ZHANG Ting-lu, DU Xiang-zhi, XU Qing-na, QIU Guo-qiang |
Ocean Remote Sensing Laboratory of the Ministry of Education, Ocean University of China, Qingdao 266100, China |
|
|
Abstract In the present study, the feasibility of using wavelet analysis to extract the eigen spectra from the absorption spectra of phytoplankton for species detection was investigated. Thirteen absorption spectra taken from single species cultures, representing four divisions (Dinophyta, Bacillariophyta, Haptophyta, and Chlorophyta), six genus (Gymnodinium, Prorocentrum, Skeletonema, Guinardia, Phaeocystis,and Prasinophyte) and seven species (Karenia mikimotoi, Karenia brevis, Prorocentrum minimum, Skeletonema costatuma, Guinardia delicatula, Phaeocystis globosa, and Pyramimonas parkeae), were used. First, the 1D wavelet analysis with five levels was applied to the thirteen absorption spectra, so each spectrum was decomposed with 5 levels. The 5th level component of low frequency corresponds to the background without information for species detection, and 1st and 2nd level component of high frequency is the random noise. The other levels (3rd to 5th) of high frequency are the useful information, and the sum of levels (3rd to 5th) of high frequency was retained as the eigen spectra for species detection. Second, the clustering analysis was used to the eigen spectra for examining the performance of the wavelet analysis in extracting species information. The clustering results were compared with the known species class information, and the results show that the 13 absorption spectra are correctly classified at the level of division, genus and species. This means that the wavelet analysis has good performance in extracting the eigen spectra for species detection. However, the above results were obtained with only limited species, and the more species data are required to identify the extensive validity of the conclusion.
|
Received: 2008-10-06
Accepted: 2009-01-08
|
|
Corresponding Authors:
ZHANG Ting-lu
E-mail: zhangtl@ouc.edu.cn
|
|
[1] Kishino M, Okami N, Takahashi M, et al. Bull. Mar. Sci., 2004, 37: 634. [2] Lerebourg C J, Pilgrim D A, Ludbrook G D, et al. J. Opt., 2002, 4: 56. [3] Zaneveld J R V, Moore C, Barnard A H, et al. Ocean. Optics, 2004, ⅩⅤⅡ: 44. [4] Lee Z P, Carder L. Remote Sensing Environment, 2004, 89: 361. [5] Cullen J J, Ciotti A M, Davis R F, et al. Limnology and Oceanography, 1997, 42(5): 1223. [6] Schofield O, Grzymski K, Bissett W P, et al. J. Phycol., 1999, 35: 1477. [7] Babin M, Cullen J J, Roesler C, et al. Oceanography, 2005, 18(2): 210. [8] Hooks C E, Bidigare R R, Keller M D, et al. J. Phycology, 1988, 24(4): 571. [9] Bidigare R R, Ondrusek M E, Morrow J H, et al. Ocean. Optics, 1990, Ⅹ: 290. [10] Hoepffner N, Sathyendranath S. J. Geophys. Res., 1993, 98: 22789. [11] Stuart V, Sathyendranath V S, Platt T, et al. J. Plankton Res., 1998, 20: 187. [12] Ciotti A M, Lewis M R, Cullen J J. Limnology and Oceanography, 2002, 47: 404. [13] Bricaud A, Claustre H, Ras J, et al. J. Geophys. Res., 2004,109: C11010. [14] Staehr P A, Cullen J J. J. Plankton Res., 2003, 25: 1237. [15] Johnsen G O, Samset L G, Sakshang E. Mar. Ecol. Prog. Ser., 1994, 105: 149. [16] Millie D F, Schofield O M, Kirkpatrixk G J, et al. Limnology and Oceanography, 1997, 42: 1240. [17] Kirkpatrick G J, Millie D F, Moline M A, et al. Limnology and Oceanography, 2000, 45: 467. [18] YANG Sheng-bo, YU Chun-mei(杨胜波,于春梅). Chinese Journal of Scientific Instrument(仪器仪表学报),2002, 23(3): 179. [19] LU Jia-hui, ZHANG Yi-bo, ZHANG Zhuo-yong, et al(逯家辉,张益波,张卓勇,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2008,28(6):1264. [20] Astorecal R, Rousseaul V, Ruddick K, et al. Ocean. Optics, 2004, ⅩⅤⅡ:68. [21] CHENG Zhen-xing(程振兴). Logarithms and Application of Wavelet Analysis(小波分析算法和应用). Xi’an: Xi’an Jiaotong University Press(西安: 西安交通大学出版社), 1998.
|
[1] |
LIU Li-xi, CHEN Lin, CHEN Zhi-li*, TANG Jin, PENG Wu-di, HU Tian-you, WANG Hao-wen. Research on the Radiation Characteristics of Low-Carbon Chemical Flame Infrared Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 62-67. |
[2] |
YANG Si-jie1,2, FENG Wei-wei2,3,4*, CAI Zong-qi2,3, WANG Qing2,3. Study on Rapid Recognition of Marine Microplastics Based on Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(08): 2469-2473. |
[3] |
YANG Chang-bao1, GAO Wen-bo1*, HOU Guang-yu2, LI Xing-zhe1, GAO Man-ting1. Response Relationship between Feldspar Content and Characteristic Spectra in Igneous Rocks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(07): 2077-2082. |
[4] |
LI Meng-meng, JIANG Jin-bao*, LIU Dong. Detection of Microleakage Point of Underground Natural Gas Using Hyperspectral Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(12): 3809-3814. |
[5] |
YANG Wen-bin1,2, LI Bin-cheng1,3*. Quantitative Analysis of Trace O Concentration in SF6 with Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(12): 3865-3870. |
[6] |
YU Shao-hui1, XIAO Xue2, XU Ge1. Data Compression of Time Series Three-Dimensional Fluorescence Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(04): 1163-1167. |
[7] |
LIU Bing-xin1, 2, LI Ying1,2*, HAN Liang1, 2 . Identification of Oil Type Using Spectral Reflectance Characteristics [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(04): 1100-1103. |
[8] |
MA Wei-wei1, GONG Cai-lan1*, HU Yong1, WEI Yong-lin2, LI Long3, LIU Feng-yi1, MENG Peng1 . Hyperspectral Remote Sensing Estimation Models for Pasture Quality [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(10): 2851-2855. |
[9] |
ZHENG Tian-tian, SUN Teng-fei, CAO Zeng-hui, ZHANG Jun* . Quality Analysis of Peanut Seed by Visible/Near-Infrared Spectra [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(03): 622-625. |
[10] |
FANG Mei-hong, JU Wei-min*. A Inversion Model for Remote Sensing of Leaf Water Content Based on the Leaf Optical Property[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(01): 167-171. |
[11] |
LI Ying, LIU Bing-xin, LI Bao-yu, CHEN Duo. Analysis of Spectral Characteristics of Oil Film on Water Based on Wavelet Transform[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(07): 1923-1927. |
[12] |
CHEN Rui, ZHANG Jun*, LI Xiao-long. Study on the Detection and Pattern Classification of Pesticide Residual on Vegetable Surface by Using Visible/Near-Infrared Spectroscopy [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(05): 1230-1233. |
[13] |
ZHENG Huai-li1, ZHANG Peng1, CHEN Yu-zhe1, TAN Ming-zhuo2, JIANG Shao-jie1, ZHU Chuan-jun3, ZHU Guo-cheng1, MA Jiang-ya1, ZHANG Zhao-qing1. Determination of Cationic Degree in PDA with Near Infrared Reflectance Spectroscopy [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(02): 334-338. |
[14] |
ZHENG Huai-li1, ZHANG Peng1, ZHU Guo-cheng1, ZHU Chuan-jun2, WANG Jing-jing1, JIANG Shao-jie1, YU Bing-hong1. Determination of Acrylamide in PDA with Near Infrared Reflectance Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(11): 2944-2947. |
[15] |
ZHANG Shan-shan1, SU Rong-guo1*, DUAN Ya-li1, SONG Zhi-jie2, WANG Xiu-lin1 . Research on the 3D Discrete Fluorescence Spectrum Technique for Differentiation of Phytoplankton Population[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(03): 732-736. |
|
|
|
|