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Filtering method of sea surface SAR image

An image and filtering area technology, which is applied in the field of sea surface SAR image filtering, can solve the problems of edge blurring, unsatisfactory noise suppression effect of consistent image, weak microwave scattering signal of sea surface, etc., and achieve the effect of image noise suppression

Inactive Publication Date: 2017-03-08
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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  • Claims
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AI Technical Summary

Problems solved by technology

The microwave scattering signal on the sea surface is weak, and the use of filters such as mean value, median value, and Lee will blur the edges of the image, making it more difficult to identify oil spills
However, the wavelet filter commonly used at present is not very effective in suppressing the image noise of the sea surface with good consistency.

Method used

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  • Filtering method of sea surface SAR image
  • Filtering method of sea surface SAR image
  • Filtering method of sea surface SAR image

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Experimental program
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Embodiment

[0066] For the convenience of description, the relevant technical terms appearing in the specific implementation are explained first:

[0067] SAR (Synthetic Aperture Radar): synthetic aperture radar;

[0068] figure 1 It is a specific implementation flowchart of a filtering method for sea surface SAR images of the present invention.

[0069] In this example, if figure 1 Shown, a kind of filtering method to sea surface SAR image of the present invention comprises the following steps:

[0070] S1, image preprocessing

[0071] Extract the SAR image of the sea surface and process it into a grayscale image to obtain the original grayscale image; Carry out radiometric calibration, geocoding and filtering on the image, that is, perform radiometric correction on the image to link the pixel with the scattering characteristics of the ground object; perform geometric correction to deal with the geometric distortion of the image; perform filtering to eliminate unwanted speckle noise;...

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Abstract

The invention discloses a filtering method of a sea surface SAR image. Through combining a maximum between-cluster variance method and a morphological filtering method, an ocean oil spilling image is filtered. The method is characterized by through the maximum between-cluster variance method, acquiring a binary image of the image, and then carrying out expansion for two times and corrosion for two times on the binary image respectively; subtracting a gray value of an expanded image from a corroded binary image gray value so as to acquire a local area binary image including a boundary; and finally, carrying out inner product on a local area and an original image gray scale so that an original image can be simplified, only remaining a filtering area including oil spilling and a suspected oil spilling boundary, and then using a filtering template to filter the filtering area.

Description

technical field [0001] The invention belongs to the technical field of SAR image processing, and more specifically relates to a filtering method for sea surface SAR images. Background technique [0002] The research on SAR speckle suppression technology has always been an important topic in SAR imaging processing and image analysis. Coherence speckle is a deterministic interference phenomenon inherent in the SAR image itself, because the ground resolution unit is always much larger than the wavelength of the radar wave, so each resolution unit on the ground can be regarded as composed of multiple scattering points. These scattering points are at different distances from the radar receiver, and the resulting echoes are coherently superimposed. Since the echo phase of each scattering center is random, the amplitude and phase of the total echo signal vary randomly. Therefore, a relatively uniform ground area has drastic changes in grayscale in the SAR image, some resolution u...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/20G06T5/30G06T7/11
CPCG06T5/20G06T5/30G06T2207/10032G06T5/80G06T5/70
Inventor 陈彦尹福全童玲
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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