| 光谱学与光谱分析 |
|
|
|
|
|
| Experimental Methods and Result Analysis of a Variety of Spectral Reflectance Properties of the Thin Oil Film |
| YE Zhou1, LIU Li2, WEI Chuan-xin1, GU Qun2, AN Ping-ao1, ZHAO Yue-jiao1, YIN Da-yi1 |
1. Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
2. China Waterborne Transport Research Institute, Beijing 100088, China |
|
|
|
|
Abstract In order to analysis the oil spill situation based on the obtained data in airborne aerial work, it’s needed to get the spectral reflectance characteristics of the oil film of different oils and thickness as support and to select the appropriate operating band. An experiment is set up to measure the reflectance spectroscopy from ultraviolet to near-infrared for the film of five target samples, which means petrol, diesel, lubricating oil, kerosene and fossil, using spectral measurement device. The result is compared with the reflectance spectra of water in the same experimental environment, which shows that the spectral reflection characteristics of the oil film are related to the thickness and the type of the oil film. In case of the same thickness, the spectral reflectance curve of different types of film is far different, and for the same type of film, the spectral reflectance curve changes accordingly with the change of film thickness, therefore in terms of the single film, different film thickness can be distinguished by reflectance curves. It also shows that in terms of the same film thickness, the reflectance of diesel, kerosene, lubricants reaches peak around 380 nm wavelength, obviously different from the reflectance of water, and that the reflectance of crude oil is far less than that of water in more than 340 nm wavelength, and the obtained reflection spectrum can be used to distinguish between different types of oil film to some extent. The experiment covers main types of spilled oil, with data comprehensively covering commonly used detect spectral bands, and quantitative description of the spectral reflectance properties of film. It provides comprehensive theoretical and data supprot for the selection of airborne oilspill detection working band and the detection and analysis of water-surface oil spill.
|
|
Received: 2014-05-12
Accepted: 2014-08-16
|
|
|
|
Corresponding Authors:
YE Zhou
E-mail: yeguitar@gmail.com
|
|
[1] SHI E-hou(史鄂侯). Marine Environmental Science(海洋环境科学)，1987, 6(2): 5.
[2] LI Qi-jun, FU Yu-hui, HUANG Feng-rong, et al(李栖筠, 傅玉慧, 黄凤荣, 等). Marine Environmental Science(海洋环境科学), 1997, 16(1): 6.
[3] HUNG Feng-rong, LI Qi-jun, FU Yu-hui, et al(黄凤荣, 李栖筠, 傅玉慧, 等). Marine Environmental Science(海洋环境科学), 1997, 16(1): 11.
[4] BAO Shi-zhu, XU Geng-qing(鲍士柱, 徐庚庆). Remote Sensing of Environment China(环境遥感), 1989, 4(3): 235.
[5] Sherman J W. Historical Perspective: Marine Oil Spill Detection by Remote Sensing. Proc 1st Thematic Conference on Remote Sensing for Marine and Coastal Environments, New Orleans, LA, USA, 06/15-17/92. 1992. 25.
[6] Bern T I, Wahl T, Andersen T, et al. Photogrammetric Engineering and Remote Sensing, 1993, 59(3): 423.
[7] GONG Cai-lan, YIN Qiu, KUANG Ding-bo(巩彩兰, 尹 球, 匡定波). Journal of Remote Sensing(遥感学报), 2006, 10(6): 910.
[8] ZHANG Yong-ning, DING Qian, GAO Chao, et al(张永宁, 丁 倩, 高 超, 等). Marine Environmental Science(海洋环境科学), 2000, 19(3): 5.
[9] ZHAO Dong-zhi, CONG Pei-fu(赵冬至, 丛丕福). Remote Sensing Technology and Application(遥感技术与应用), 2000, 15(3): 160.
[10] FANG Si-an, HUANG Xiao-xian, YIN Da-yi, et al(方四安, 黄小仙, 尹达一, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2010, 30(3): 738.
|
| [1] |
MA Yuan, LI Ri-hao, ZHANG Wei-feng*. Research on the Training Samples Selection for Spectral Reflectance
Reconstruction Based on Improved Weighted Euclidean Distance[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3924-3929. |
| [2] |
ZHU Zhi-cheng1, WU Yong-feng2*, MA Jun-cheng2, JI Lin2, LIU Bin-hui3*, JIN Hai-liang1*. Response of Winter Wheat Canopy Spectra to Chlorophyll Changes Under Water Stress Based on Unmanned Aerial Vehicle Remote Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3524-3534. |
| [3] |
KONG De-ming1, LIU Ya-ru1, DU Ya-xin2, CUI Yao-yao2. Oil Film Thickness Detection Based on IRF-IVSO Wavelength Optimization Combined With LIF Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2811-2817. |
| [4] |
DAI Shuo1, XIA Qing1*, ZHANG Han1, HE Ting-ting2, ZHENG Qiong1, XING Xue-min1, LI Chong3. Constructing of Tidal Flat Extraction Index in Coastal Zones Using Sentinel-2 Multispectral Images[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1888-1894. |
| [5] |
HAI Jing-pu1, 2, GUO Ling-hua1, 2*, QI Yu-ying1, 2, LIU Guo-dong1, 2. Research on the Spectral Prediction Model of Gravure Spot Color Scale Based on Density[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 31-36. |
| [6] |
CHEN Yu-nan1, 2, 3, YANG Rui-fang1, 3*, ZHAO Nan-jing1, 3*, ZHU Wei1, 2, 3, CHEN Xiao-wei1, 2, 3, ZHANG Rui-qi1, 2, 3. Research on Measuring Oil Film Thickness Based on Laser-Induced Water Raman Suppression Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3954-3962. |
| [7] |
REN Hong-mei1, 2, LI Ang1*, HU Zhao-kun1, XIE Pin-hua1, 2, 3, XU Jin1, HUANG Ye-yuan1, 2, LI Xiao-mei1, 2, ZHONG Hong-yan1, 4, ZHANG Hai-rong1, 2, TIAN Xin1, 4, REN Bo2, ZHENG Jiang-yi1, 2, WANG Shuai5, CHAI Wen-xuan5. Measurement of Water Vapor Absorption in the Ultraviolet Band Using MAX-DOAS and Evaluation of Its Influence on DOAS Retrieval[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3314-3320. |
| [8] |
JIANG Wan-li1, 2, SHI Jun-sheng1, 2*, JI Ming-jiang1, 2. Establishment of Visible and NIR Spectral Reflectance Database of Plant Leaves and Principal Component Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2366-2373. |
| [9] |
JIANG Dan-yang1, WANG Zhi-feng1*, GAO Cheng1, 2, LI Chang-jun1. Spectral Reflectance Reconstruction With Color Constancy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1044-1048. |
| [10] |
CUI Yong-qiang1, KONG De-ming2*, MA Qin-yong1, XIE Bei-bei1, ZHANG Xiao-dan1, KONG De-han3, KONG Ling-fu1. Algorithm Research on Inversion Thickness of Oil Spill on the Sea Surface Using Raman Scattering and Fluorescence Signal[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 104-109. |
| [11] |
LUO De-fang1, PENG Jie1*, FENG Chun-hui1, LIU Wei-yang1, JI Wen-jun2, WANG Nan3. Inversion of Soil Organic Matter Fraction in Southern Xinjiang by Visible-Near-Infrared and Mid-Infrared Spectra[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(10): 3069-3076. |
| [12] |
LI Fu-hao, LI Chang-jun*. Spectral Reflectance Reconstruction Based on Camera Raw RGB Using Weighted Third-Order Polynomial and Wiener Estimation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(10): 3281-3285. |
| [13] |
ZHANG Shi-ya1, LÜ Xiao-min2, 3*, ZHOU Guang-sheng2, 3, 4*, REN Hong-rui1. Spectral Characteristics During Leaf Flourishing Development of Quercus Mongolica and Its Influencing Factors[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(09): 2924-2929. |
| [14] |
ZHENG Yu-dong1, XU Yun-cheng1, YAN Hai-jun1*, ZHENG Yong-jun2. Analysis of Influencing Factors in Wheat/Maize Canopy RVI and NDVI Acquisition Using Ground-Based Remote Sensing System[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(08): 2578-2585. |
| [15] |
ZHAO Shou-bo1,2, LI Xiu-hong1,2. Research on Reflection Spectrum Reconstruction Algorithm Based on Compressed Sensing[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(04): 1092-1096. |
|
|
|
|
