Classification of the Different Thickness of the Oil Film based on Wavelet Transform Spectrum Information | |
Song Dongmei1; Liu Bin1,2; Chen Shouchang3; Ma Yi4; Zhang Yajie1,2; Shen Chen5; Cui Jianyong1; Li, X | |
2015 | |
关键词 | Oil spill film hyperspectral image wavelet transform spectrum information classification |
卷号 | 3 |
DOI | 10.1016/j.aqpro.2015.02.203 |
页码 | 133-143 |
英文摘要 | The detection of different thickness of spilled oil film is internationally recognized as one of the difficult problems. Hyperspectral remote sensing data can provide continuous spectrum, and be beneficial for the identification of oil film. The traditional detection method failed to make full use of different spectral characteristics of the oil film, so is unable to improving the identification precision of them. By deep digging the time-frequency information based on the wavelet transform, we can enhance the difference of the spectral characteristic between thick and thin oil film, so that we can find sensitive wavelength location of them. High frequency coefficient of wavelet transformation is able to indicating the sensitive spectral range of different thickness of oil film, and low frequency coefficient information is available for eliminating the noise of the image, consequently, enhancing the contrast between the categories. Based on this, this paper proposed a new method for classification of the various thickness of oil film based on wavelet transform spectrum information. Firstly, we extracted the sensitive wave bands of different thickness of oil film based on the analysis of the singularity of the high frequency wavelet coefficient curve. Secondly, we regenerated the new low-frequency wavelet coefficients image of sensitive bands which are regarded as sensitive bands in term of the analysis on the high frequency wavelet coefficients curve. Finally, we conducted the classification of the different thickness of oil spill film based on the new low-frequency wavelet coefficients image. The experiment has gotten good effect with Hyperspectral data obtained airborne from oil spill accident happening in Dalian in Bohai Sea on July 16, 2010. (C) 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license. |
会议录 | Maritime Oil Spill Response
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会议录出版者 | ELSEVIER SCIENCE BV |
会议录出版地 | SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS |
语种 | 英语 |
WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Water Resources |
WOS记录号 | WOS:000353450200017 |
内容类型 | 会议论文 |
源URL | [http://ir.fio.com.cn/handle/2SI8HI0U/5095] ![]() |
专题 | 业务部门_海洋物理与遥感研究室 |
作者单位 | 1.China Univ Petr, Sch Geosci, Qingdao, Peoples R China; 2.China Univ Petr, Coll Grad, Qingdao, Peoples R China; 3.Zhejiang Univ, Dept Math, Hangzhou 310003, Zhejiang, Peoples R China; 4.SOA, Inst Oceanog 1, Qingdao, Peoples R China; 5.China Univ Petr, Coll Sci, Qingdao, Peoples R China |
推荐引用方式 GB/T 7714 | Song Dongmei,Liu Bin,Chen Shouchang,et al. Classification of the Different Thickness of the Oil Film based on Wavelet Transform Spectrum Information[C]. 见:. |
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