Precise extracting method for sea surface oil spilling area through remote sensing of polarized synthetic aperture radar

A technology of synthetic aperture radar and sea oil spill, which is applied in the field of remote sensing image processing, and can solve the problem of limited extraction accuracy of sea oil film area

Inactive Publication Date: 2019-03-19
BEIJING UNIV OF TECH
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  • Abstract
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  • Application Information

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Problems solved by technology

[0004] Aiming at the problems in the prior art, the present invention provides a method for accurately extracting the oil spill area on the sea surface by polar

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  • Precise extracting method for sea surface oil spilling area through remote sensing of polarized synthetic aperture radar
  • Precise extracting method for sea surface oil spilling area through remote sensing of polarized synthetic aperture radar
  • Precise extracting method for sea surface oil spilling area through remote sensing of polarized synthetic aperture radar

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Embodiment

[0095] Such as figure 1 as shown, figure 1 A schematic flowchart of a method for accurately extracting oil spilled from a sea surface based on polarimetric synthetic aperture radar remote sensing in this embodiment is shown.

[0096] The embodiment adopts the polarization SAR image obtained in the Nordic sea surface oil spill detection experiment, such as figure 2 As shown in a, the black spot area in the upper left corner and the lower right corner are bio-oil film and mineral oil respectively, and the black spot area in the middle is emulsified oil, whose characteristics are between mineral oil and seawater. The purpose of marine oil spill detection is to effectively extract mineral oil covered areas and distinguish them from biological oil films.

[0097] Firstly, according to step 1, geocode the SAR image, and extract the training sample areas of sea surface mineral oil and non-mineral oil (including sea surface and biological oil film likelihood) (such as figure 2 sh...

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Abstract

The invention discloses a precise extracting method for a sea surface oil spilling area through remote sensing of a polarized synthetic aperture radar. The method comprises the steps that an SAR imageis subjected to polarization filtering, and the influence of noises of information of the sea surface is reduced; multiple methods are adopted for extracting effective polarization characteristics; astack auto-encoder (SAE) is utilized for classifying sea surface mineral oil and a non-oil slick area; the classifying result is subjected to morphological processing to obtain a reticle mask of a mineral oil area; a backscattering cross-section intensity image is subjected to space density threshold value segmentation, and an oil slick border of high precision is acquired; the reticle mask is fused with the oil slick border to obtain the precise extracting result of the sea surface oil spilling area. The method solves the problems of distinguishing of substances similar to biologic oil slickand mineral oil and precise extracting of the oil slick border in the prior art.

Description

technical field [0001] The invention belongs to remote sensing image processing technology, in particular to a method for accurately extracting sea surface oil spill area by using synthetic aperture radar remote sensing image. Background technique [0002] Marine oil spill is one of the main threats to the coastal environment. Timely and effective oil spill monitoring is of great significance to the protection of marine ecological security. Synthetic Aperture Radar (SAR) has the advantages of being unaffected by clouds and rain and working around the clock, and has unique advantages in remote sensing monitoring. Because the existence of oil spills will attenuate the Bragg scattering on the sea surface and form dark areas on the SAR image, the traditional SAR sea oil spill detection is mainly realized by detecting the black spots on the sea surface. However, studies have shown that some plausible objects (such as biological oil films) will also form similar dark spots in SAR...

Claims

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Application Information

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IPC IPC(8): G01S13/90
CPCG01S13/90G01S13/9029G01S13/9076
Inventor 李煜张渊智袁子峰郭菁菁郭华秋潘洪沅
Owner BEIJING UNIV OF TECH
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