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Oil film thickness identification method based on spectral characteristic parameter

A technology of spectral characteristic parameters and oil film thickness, applied in the direction of optical devices, measuring devices, instruments, etc., can solve the problems of unreliable results, difficult to put into practical application, difficult to eliminate the influence of sensor noise and atmospheric transmittance, etc., to achieve Solve unstable and low precision effects

Inactive Publication Date: 2016-04-27
CHONGQING THREE GORGES UNIV
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Problems solved by technology

Disadvantages: (1) Lack of ground experimental data support, only applicable to one environmental condition, and unreliable results
(2) Spectral channel data is difficult to eliminate the influence of sensor noise and atmospheric transmittance
Disadvantages: The influence of sensor noise and atmospheric transmittance is not considered, it is difficult to apply to space-based / space-based sensors, and space-based / space-based sensors are the key to emergency applications
[0005] The above research is difficult to put into practical application, the main reason is that the influence of oil species characteristics and sensor optical characteristics on the thickness inversion signal

Method used

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  • Oil film thickness identification method based on spectral characteristic parameter
  • Oil film thickness identification method based on spectral characteristic parameter
  • Oil film thickness identification method based on spectral characteristic parameter

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Embodiment 1

[0032] see figure 1 , in the embodiment of the present invention, the present invention establishes the identification scheme of oil film thickness based on spectral characteristic parameters, the key lies in solving the problem of spectral reconstruction of oil spill targets and the problem of optimal characteristic parameters in the marine environment, setting up ground-space-based synchronous experiments to realize spectral reconstruction, and obtaining Based on the space-based reflectance spectrum curve-thickness relationship, the characteristic parameters are further extracted, and the spectral characteristic fitting model is established to optimize the characteristic parameters. Specific steps are as follows:

[0033] 1) Organize the ASD spectral database of pure oil species measured by outdoor simulation experiments: the ASD spectral database contains the spectral reflectance of different pure oil species and oil film thicknesses with different oil-water ratios; sort ou...

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Abstract

The present invention discloses an oil film thickness identification method based on a spectral characteristic parameter. The ADS spectrum database of a single oil type measured by an outdoor simulation measurement is organized, the oil film spectrum is analyzed, then through high spectrum remote sensing image data preprocessing and spectrum reconstruction, a reconstructed spectral characteristic is evaluated by using the ADS spectrum database, a characteristic spectrum and a characteristic parameter are identified, and a spectral characteristic fitting model is established. According to the method, the atmospheric transmittance in a practical application and the background noise generated by a sensor gain are considered, the characteristic parameter capable of eliminating influence is preferably selected, the look-up table of the characteristic parameter and thickness is established, and the problem of instability and low accuracy of oil film thickness inversion is solved.

Description

technical field [0001] The invention relates to the technical field of oil film measurement, in particular to an oil film thickness identification method based on spectral characteristic parameters. Background technique [0002] The identification of oil spill thickness on water is a difficult problem to be solved at present. Existing studies mainly use the spectral values ​​and oil film thickness of space-based / space-based sensors to establish look-up tables. visible-nearIR, the same below) oil film thickness recognition algorithm, determined the thickness detectable range and thickness lookup table; OceanImaging (2010) used the airborne visible light-near infrared multi-spectral equipment to realize the relative thickness recognition under emergency; Liu Bingxin et al. (2014) established a decision tree classification method based on the measured spectral features on the ground, which is used to extract the relative thickness information of oil film from airborne multispe...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01B11/06
Inventor 兰国新董凯馨杨松月唐帮舰张兴立
Owner CHONGQING THREE GORGES UNIV
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