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Method and device for sea surface oil spillage detection based on SAR (synthetic aperture radar) image

A technology for sea surface oil spill and image detection, which is applied in the fields of marine environment management, remote sensing images, and image processing, can solve the problems of ineffective denoising, increasing algorithm execution time, and reducing efficiency

Inactive Publication Date: 2013-03-27
THE CHINESE UNIVERSITY OF HONG KONG
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Problems solved by technology

However, on the one hand, this algorithm cannot effectively denoise and destroy some inherent information of the original image. On the other hand, it also increases the execution time of the algorithm and reduces the efficiency.

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  • Method and device for sea surface oil spillage detection based on SAR (synthetic aperture radar) image
  • Method and device for sea surface oil spillage detection based on SAR (synthetic aperture radar) image
  • Method and device for sea surface oil spillage detection based on SAR (synthetic aperture radar) image

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Embodiment Construction

[0016] Exemplary implementations of the present application will be described below in conjunction with specific implementations with reference to the accompanying drawings.

[0017] figure 1 Shown is a method 100 for detecting sea oil spills based on SAR images according to an embodiment of the present application. As shown in the figure, in step S101, the pixel grayscale in the SAR image of the sea surface is subjected to threshold segmentation to convert the SAR image into a binary image and find out possible black spot regions.

[0018] Threshold segmentation is a region-based image segmentation technique, and its basic principle is to classify image pixels by setting a gray threshold. figure 2 A SAR image with an oil spill area is shown as an example. Visually, the black spot area and the background can be distinguished simply depending on the gray value of the image: usually, the area with a relatively low gray value is identified as the dark spot area, and the area w...

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Abstract

Disclosed are a method and a device for sea surface oil spillage detection based on an SAR (synthetic aperture radar) image. The method includes: converting the SAR image into a binary image by performing threshold segmentation for gray of pixels in the sea surface SAR image; for a neighborhood in predetermined size of each pixel in the binary image, determining whether number and / or ratio of the pixels with the pixel value of 1 in the neighborhood is larger than a preset value or not; identifying the neighborhoods that whether the number and / or the ratio of the pixels with the pixel value of 1 is larger than the preset value or not; and using an image boundary formed by all the identified neighborhoods as an initial zero level set used for detecting level set segmentation so as to detect sea surface oil spillage.

Description

technical field [0001] The present application relates to technical fields such as image processing, remote sensing images, and marine environment management, and in particular, to a method and device for detecting sea oil spills based on SAR (Synthetic Aperture Radar) images. Background technique [0002] In recent years, marine oil spill incidents have been expanding year by year. The technology of detecting and monitoring the spread and movement of oil spilled areas on the sea surface has attracted great attention and has high research value. [0003] At present, the use of SAR images for oil spill detection is the main and better method in the world. The SAR image uses the principle that the fine waves generated by the sea surface appear as bright colors on the radar image, while the oil spill area appears as dark colors to identify the polluted area. The basic and key step in detecting oil spills in SAR images is to find the dark spots in the images, which are places t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00G01S13/90
Inventor 张渊智刘强
Owner THE CHINESE UNIVERSITY OF HONG KONG
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