High-resolution radar image enhancement method for aiming at vehicle observation scene
A radar image, high-resolution technology, used in image enhancement, image analysis, image data processing, etc., can solve problems such as high-resolution image filtering failure, and achieve enhanced image quality, good noise filtering, and edge detail retention capabilities. Effect
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example 1
[0094] Such as Figure 5 , is a schematic diagram of the data to test the method. The left picture is the standard test image Barbara used for simulation. The image on the right is a real high-resolution radar image of a scene with vehicle observations.
[0095] Such as Image 6 , is the effect diagram of applying this method on the simulation data. The previous column is the effect diagram before and after filtering, and the next column is the multiplicative noise diagram obtained before and after filtering. Compared with traditional model algorithms, the inventive method has good ability to filter out noise and maintain edge details. The multiplicative noise image filtered out by this method shows that the noise is non-stationary. Secondly, for the simulated radar image, the original noise-free standard image is known, and the peak signal-to-noise ratio (PeakSignal to Noise Ratio, PSNR), structure similarity (Structure Similarity, SSIM) and edge preservation β can be use...
Embodiment 2
[0099] Such as Figure 7 , is a schematic diagram to test the ability of the algorithm to describe the actual data distribution. It can be seen from the figure that these conclusions can be clearly drawn: 1) These high-resolution radar radars no longer satisfy the Goodman assumption, and Nakagami cannot effectively fit the data distribution; 2) The lognormal distribution is more effective in describing these Inhomogeneous high-resolution radar images, but not perfect fitting; 3) The mixed lognormal model proposed by the method of the present invention can perfectly fit the distribution of these data.
[0100] Figure 8 It is a schematic diagram of the results of applying the algorithm to the real vehicle observation scene data; the upper column in the figure is the effect map before and after filtering, and the next column is the multiplicative noise map obtained before and after filtering. The multiplicative noise image filtered by this method shows again that the noise of ...
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