光谱学与光谱分析 |
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Extraction of First Derivative Spectrum Features of Soil Organic Matter via Wavelet De-Noising |
LIU Wei1, CHANG Qing-rui1*, GUO Man1, XING Dong-xing1, 2, YUAN Yong-sheng1 |
1. College of Resources and Environment, Northwest A&F University, Yangling 712100, China 2. Department of Resources Environment, Xianyang Normal College, Xianyang 712000, China |
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Abstract The hyperspectral reflectance of soil was measured by a ASD FieldSpec within 400~1 000 nm.Next, its first derivative of spectra were acquired and de-noised by the threshold de-noising method based on wavelet transform. From the de-noised derivative spectra, absorption areas used as indicatoresas for soil organic matter content were acquired by numerical integration. Results show that: (1) Because of much noise, it is difficult to identify spectra contour and features in the first derivative of soil spectra resulting from different organic content levels. (2) When the scale of wavelet decomposition was 3, the threshold de-noising method based on wavelet transform can keep the balance between smoothing curve and holding spectra features. (3) Absorption area S(538,586) is extracted from de-noised first derivative of soil spectra, and the coefficient of correlation between it and organic matter content is 0.896 3.
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Received: 2010-03-02
Accepted: 2010-06-06
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Corresponding Authors:
CHANG Qing-rui
E-mail: chqr@nwsuaf.edu.cn
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[1] LI Min-zan, HAN Dong-hai, WANG Xiu(李民赞,韩东海,王 秀). Spectral Analysis Technology and Its Application(光谱分析技术及其应用). Beijing: Science Press(北京: 科学出版社),2006. 115. [2] LU Wan-zhen, YUAN Hong-fu, XU Guang-tong, et al(陆婉珍,袁洪福,徐广通,等). Modern Near Infrared Spectroscopy Analytical Technology(现代近红外光谱分析技术). Beijing: China Petrochemical Press(北京: 中国石化出版社),2007. 35. [3] CHU Xiao-li, YUAN Hong-fu, LU Wan-zhen(褚小立,袁洪福,陆婉珍). Progress in Chemistry(化学进展),2004,16(4): 528. [4] WANG Ji-hua, ZHAO Chun-jiang, HUANG Wen-jiang(王纪华,赵春江,黄文江). Quantitative Remote Sensing Technique and Application in Agriculture(农业定量遥感基础与应用). Beijing: Science Press(北京: 科学出版社),2008. 32. [5] SHEN Run-ping, DING Guo-xiang, WEI Guo-shuan, et al(沈润平,丁国香,魏国栓,等). Acta Pedologica Sinica(土壤学报),2009,46(3): 391. [6] Krishnan P, Alexander J D, Butler B J, et al. Soil Science Soiety of American Journal, 1980, 44: 1282. [7] Sudduth K A, Hummel J W. Transaction of the ASAE, 1991, 34(4): 1900. [8] Ben-Dor E, Banin A. Romote Sensing of Enviroment, 1994, 48: 261. [9] LIU Wei-dong, Baret F, ZHANG Bing, et al(刘伟东, Baret F, 张 兵, 等). Acta Pedologica Sinica(土壤学报),2004,41(5): 700. [10] XIE Bo-cheng, XUE Xu-zhang, LIU Wei-dong, et al(谢伯承,薛绪掌,刘伟东,等). Acta Pedologica Sinica(土壤学报),2005,42(1): 171. [11] LIU Huan-jun, ZHANG Bai, ZHAO Jun(刘焕军,张 柏,赵 军,等). Acta Pedologica Sinica(土壤学报),2007,44(1): 27. [12] PENG Jie, ZHANG Yang-zhu, ZHOU Qing, et al(彭 杰,张杨珠,周 清,等). Soils(土壤),2006,38(4): 453. [13] WU Gui-fang, HE Yong(吴桂芳,何 勇). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2009,29(12): 3246.
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