海面溢油无人机高光谱遥感检测与厚度估算方法 | |
任广波; 过杰; 马毅; 罗旭东 | |
刊名 | 海洋学报
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2019 | |
卷号 | 41期号:5页码:146-158 |
关键词 | 溢油检测 溢油厚度评估 无人机高光谱 溢油遥感 Oil Spill Detection Oil Slick Thickness Estimation Uav Hyperspectral Oil Spill Remote Sensing |
ISSN号 | 0253-4193 |
其他题名 | Oil spill detection and slick thickness measurement via UAV hyperspectral imaging |
产权排序 | (1) 自然资源部第一海洋研究所 ; (2) 中国科学院烟台海岸带过程研究所 ; (3) 广州星博科仪有限公司 |
英文摘要 | Oil spill is a common problem faced by marine countries,but there is still no reliable and practical method for oil slick accurate identification and quantity measurement via remote sensing technology.Based on the UAV hyperspectral imaging experiment,methods of oil spill detection and thickness estimation are studied.In the experiment, the UAV hyperspectral remote sensing and field spectral data of oil spill with different quantities are obtained in an oil spill experiment tank of large outdoor flume under the condition of simulating real marine environment. Then the feature spectral bands based oil spill detection and oil slick thickness estimation models are found. At last we get the following conclusions:(1)675nm and 699nm are the effective characteristic bands of oil spill detection,however,they have no detection capability for the very thin oil slick(thickness≤5mum),(2)3kinds of oil slick thickness estimation models witch are Normalized Difference Oil Spill Index(NDOSI)model,inverse proportion model and absorption line height model are proposed,in which the inverse ratio model is the only choice for thin and thick(thickness>50mum)oil slick.For the medium thickness oil slick,the NDOSI model is the best choice,and the inverse scale model and the oil spill absorption baseline height model have better inversion ability, and in cloudy weather,the inverse scale model is the best. |
WOS关键词 | 溢油检测 ; 溢油厚度评估 ; 无人机高光谱 ; 溢油遥感 ; Oil Spill Detection ; Oil Slick Thickness Estimation ; Uav Hyperspectral ; Oil Spill Remote Sensing |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 中文 |
CSCD记录号 | CSCD:6482803 |
内容类型 | 期刊论文 |
源URL | [http://ir.yic.ac.cn/handle/133337/25155] ![]() |
专题 | 烟台海岸带研究所_海岸带信息集成与综合管理实验室 烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室 |
作者单位 | 1.广州星博科仪有限公司 2.中国科学院烟台海岸带过程研究所; 3.自然资源部第一海洋研究所; |
推荐引用方式 GB/T 7714 | 任广波,过杰,马毅,等. 海面溢油无人机高光谱遥感检测与厚度估算方法[J]. 海洋学报,2019,41(5):146-158. |
APA | 任广波,过杰,马毅,&罗旭东.(2019).海面溢油无人机高光谱遥感检测与厚度估算方法.海洋学报,41(5),146-158. |
MLA | 任广波,et al."海面溢油无人机高光谱遥感检测与厚度估算方法".海洋学报 41.5(2019):146-158. |
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