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Synthetic aperture radar (SAR) image quality evaluation method based on contrast sensitivity characteristics

An image quality evaluation and sensitivity technology, applied in image analysis, image data processing, instruments, etc., can solve the problem of lack of subjective characteristics in SAR image quality evaluation, and achieve the effect of removing noise interference and simple and accurate calculation

Active Publication Date: 2013-05-15
BEIHANG UNIV
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Problems solved by technology

[0007] In order to solve the lack of subjective characteristics of the existing SAR image quality evaluation, the present invention proposes a SAR image quality evaluation method based on contrast sensitivity, which is more in line with the human eye's subjective perception of SAR image quality compared to traditional SAR image quality evaluation. to feel

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  • Synthetic aperture radar (SAR) image quality evaluation method based on contrast sensitivity characteristics
  • Synthetic aperture radar (SAR) image quality evaluation method based on contrast sensitivity characteristics

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[0181] Aiming at the traditional objective SAR image quality evaluation index, the present invention mainly verifies and analyzes the proposed subjective evaluation method by distinguishing this index. The real SAR image of the coastal area is selected. The image size is 4096×4096. The background of the image is relatively complex, including: roads, buildings, rivers and vegetation, etc., and it also has an ocean background with less clutter. In this embodiment, the SAR image of 1 m, the SAR image of 2 m, the SAR image of 5 m, the SAR image of 10 m, and the SAR image of 15 m are respectively read. Figure 6A ~ Figure 6J In the picture shown, the SAR image is a photo synthesized from data collected by a certain type of radar receiver. The normalized SAR images of the five imported SAR images are saved in the computer in *.mat file format. For the convenience of explanation, firstly process the 1m SAR image from Step 1 to Step 5, then repeat Step 1 to Step 5 to process the 2m S...

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Abstract

The invention discloses a synthetic aperture radar (SAR) image quality evaluation method based on contrast sensitivity characteristics. The method can effectively eliminate noise interference of a high frequency part in an SAR image by utilizing similarity of wavelet decomposition and contrast sensitivity colony stimulating factor (CSF) function space frequency band pass. Simultaneously, the method is simple, convenient and accurate to calculate, free from referring the SAR image and capable of evaluating the image quality comprehensively and effectively only according to an HVSR parameter index. The method can be applied to the SAR image obtained by airborne or satellite borne synthetic aperture radar. A subjective no-reference image type SAR image quality evaluation model is established through the multichannel characteristics of contrast sensitivity in human eye vision and by combining a method of wavelet transform in image processing, and evaluation of the SAR image by real subjectivity is achieved. According to the SAR image quality evaluation method based on the contrast sensitivity characteristics, the defect that existing SAR image quality evaluation lacks subjective characteristics is remedied, and solid technical support for evaluating the SAR image and improving the SAR image quality in future is established.

Description

technical field [0001] The invention relates to a method for processing images collected by synthetic aperture radar, more particularly, a method for evaluating the quality of SAR images based on contrast sensitivity characteristics. Background technique [0002] Synthetic Aperture Radar (SAR) system is an active remote sensing device, which actively transmits electromagnetic waves to the target, and uses the echo signal received by the target to perform imaging under the action of scattering characteristics. [0003] MATLAB is a high-tech computing environment mainly for scientific computing, visualization and interactive programming released by American Mathworks Corporation. It integrates many powerful functions such as numerical analysis, matrix calculation, scientific data visualization, and modeling and simulation of nonlinear dynamic systems in an easy-to-use window environment. Realm provides a comprehensive solution and largely breaks away from the editing mode of ...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 于泽刘玉静李春升
Owner BEIHANG UNIV
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