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Sea surface spilled oil detection method based on spatial frequency characteristics

A sea oil spill and detection method technology, applied in the field of target detection, can solve the problems of low precision, low efficiency, and poor reliability of sea oil spill detection, and achieve the effects of good reliability, high efficiency, and high precision

Inactive Publication Date: 2017-06-13
NANJING UNIV OF SCI & TECH
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Problems solved by technology

[0004] In a word, the problems existing in the prior art are: low detection accuracy, poor reliability and low efficiency of sea oil spill detection

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  • Sea surface spilled oil detection method based on spatial frequency characteristics
  • Sea surface spilled oil detection method based on spatial frequency characteristics
  • Sea surface spilled oil detection method based on spatial frequency characteristics

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Embodiment Construction

[0026] The sea surface oil spill detection method based on the spatial frequency characteristics of the present invention has a mechanism that the light and dark stripe signals scattered by the sea surface oil spill have characteristics of changing speed. After the target passes through the photoelectric system, some texture details will become blurred, so its modulation degree is lower than that before imaging, and the modulation degree of the photoelectric imaging system will change according to the change of the spatial frequency. The physical characteristics of seawater and crude oil are different, and there are differences in the changes of scattered light and dark fringe signals, and the spatial frequency characteristics obtained by simulation are also different, so as to realize the detection of sea oil spills.

[0027] Such as figure 1 As shown, the sea surface oil spill detection method based on spatial frequency characteristics of the present invention comprises the ...

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Abstract

The invention discloses a sea surface spilled oil detection method based on spatial frequency characteristics. The method comprises the following steps: (10) sample signal collection: collecting optical signals of a sea surface spilled oil sample to obtain an original image of the sea surface spilled oil; (20) data preprocessing: filtering median of the original image to obtain a target image; (30) edge linear fitting: carrying out edge linear fitting on the target image to obtain a target edge linear equation; (40) image edge spread function preprocessing: removing obvious noise points in the target image; (50) edge spread function stratified resampling: removing other noise signals in the target image to obtain low-noise target signals; (60) line spread function sampling and fitting: carrying out differential fitting on the edge spread function of the low-noise target signals to obtain a line spread function; and (70) modulation transfer function calculation: performing modulation transfer function calculation to obtain spatial frequency characteristic values of the sea surface spilled oil under multiple angles. The method is high in accuracy, good in reliability and high in efficiency.

Description

technical field [0001] The invention belongs to the technical field of target detection, in particular to a sea surface oil spill detection method based on spatial frequency characteristics with high precision, good reliability and high efficiency. Background technique [0002] Due to the frequent occurrence of oil spill accidents caused by the development of offshore oil resources, oil spills have become the most important source of ocean pollution. This not only has great harm to the ecological environment, but also has caused huge losses to the economy. In order to detect oil spills timely and accurately, it is necessary to realize rapid detection of oil spills on the sea surface. [0003] The basic detection methods of sea oil spill mainly include visible light method, infrared spectrophotometry, microwave radiometer method, gas chromatography and fluorescence method, etc. However, these traditional measurement methods require pretreatment of experimental samples, and ...

Claims

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Application Information

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IPC IPC(8): G01N21/47G06T5/00
CPCG01N21/4738G01N2021/4769G01N2021/1774G06T2207/20032G06T5/70
Inventor 钱惟贤徐将顾国华陈钱任侃路东明李宏哲周骁骏呙星
Owner NANJING UNIV OF SCI & TECH
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