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The Research For Detecting The Information Of Oil Spills On The Sea Surface By Using Fluorescence Lidar

Posted on:2010-09-21Degree:MasterType:Thesis
Country:ChinaCandidate:N DingFull Text:PDF
GTID:2120360275486006Subject:Physical oceanography
Abstract/Summary:PDF Full Text Request
Lidar is the most important and effective technology in detecting information of oil spills on the sea surface. Via detecting the features of oil fluorescence spectrums, high spatial resolution and high-precision information of oil spills area can be obtained rapidly in real-time, including the type of oil spills, the oil thickness and so on. Based on the principle of fluorescence detection using laser, the pick-up to the information of oil spills area were studied in this paper.It possesses specifically physical meanings between the bands of fluorescence spectrum. Due to the different substances in different kinds of oil, the shape of oil fluorescence spectrums is different, spectral matching models which used to identify the type of oil spills were studied in this paper, and the improved model had preferable reliability. Moreover, the channels which contain the greatest amount of information were picked up by integrated using the Principal Component Analysis (PCA) and band selection. The result indicated that lesser channels can satisfy the requirement of detection, so the space and cost of system can be reduced, and the speed of data processing can be enhanced at the same time.The location of Raman is stationary in the whole fluorescence spectrum and the intensity is attenuated by oil film when the oil is presence. This paper studied the measurement of oil thickness by detecting the signal returns in the absence and presence of oil film. The result validated that the Raman intensity gradually reduce as the thickness of oil film increasing.Massive experiment in the lab and analysis to the oil fluorescence spectrums provided foundation and reliable reference for oil detection on the sea surface using airborne lidar.
Keywords/Search Tags:Lidar, fluorescence spectrums, spectral matching, channel analysis, oil thickness
PDF Full Text Request
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