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Shipborne radar image oil spilling monitoring method based on a local adaptive threshold value

A local self-adaptive radar image technology, applied in image analysis, graphic image conversion, image data processing, etc., to improve oil film recognition efficiency and eliminate interference

Active Publication Date: 2019-05-31
DALIAN MARITIME UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the development of shipborne radar oil spill monitoring technology is still in its infancy

Method used

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  • Shipborne radar image oil spilling monitoring method based on a local adaptive threshold value
  • Shipborne radar image oil spilling monitoring method based on a local adaptive threshold value
  • Shipborne radar image oil spilling monitoring method based on a local adaptive threshold value

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Embodiment Construction

[0050] The specific embodiment of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0051] It should be noted that, in the following specific embodiments, when describing the embodiments of the present invention in detail, in order to clearly show the structure of the present invention for the convenience of description, the structures in the drawings are not drawn according to the general scale, and are drawn Partial magnification, deformation and simplification are included, therefore, it should be avoided to be interpreted as a limitation of the present invention.

[0052] In the shipborne radar image containing sea clutter information, the gray value of the backscattered signal of the oil film is smaller than the gray value of the signal around the oil spill area. This feature can be used to extract the oil film in the shipborne radar image. In order to ensure the accuracy of the extraction, the original radar im...

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Abstract

The invention discloses a shipborne radar image oil spill monitoring method based on a local adaptive threshold value, and the method comprises the steps: firstly, inhibiting the same frequency interference noise in an original radar image based on an improved Prewitt operator, a robust adaptive threshold value algorithm, and a linear interpolation method; Applying a gray intensity correction matrix model to enable the whole image to be smooth; Then, a finite contrast adaptive histogram equalization algorithm is adopted, so that the contrast of inner and outer regions of the oil film is improved; And finally, obtaining an oil spilling area monitoring result image under a rectangular plane coordinate system by applying an improved local adaptive threshold method and an area threshold method, and projecting and transforming the oil spilling area monitoring result image to a polar coordinate system in the real world, thereby obtaining an oil spilling distribution image, and finally realizing offshore oil spilling real-time monitoring.

Description

technical field [0001] The invention relates to an oil spill monitoring method, in particular to a ship-borne radar image oil spill monitoring method based on a local adaptive threshold. Background technique [0002] Offshore oil spills have the characteristics of easy diffusion, wide impact and long duration. Once oil spills into the sea, the impact on the marine environment is immeasurable. In order to effectively reduce losses, timely and accurate oil spill monitoring is the primary task for formulating effective emergency plans. [0003] In the shipborne radar image containing sea clutter information, the gray value of the backscattered signal of the oil film is smaller than the gray value of the signal around the oil spill area. This feature can be used to extract oil slicks in shipborne radar images. In ship-borne oil spill monitoring equipment, this technology only needs to modify the ship-borne radar hardware to extract image information without purchasing other r...

Claims

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Application Information

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IPC IPC(8): G06T3/60G06T7/136
Inventor 徐进由大明何舒赵阳
Owner DALIAN MARITIME UNIVERSITY
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