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SAR image saliency map generation method based on multi-scale and super-pixel segmentation

A super-pixel, multi-scale technology, applied in character and pattern recognition, instrument, scene recognition and other directions, can solve the problem that a large number of images cannot be located and found quickly and accurately, and achieve the effect of reducing the false alarm rate.

Inactive Publication Date: 2021-05-07
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Application Information

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is that the existing technology cannot quickly and accurately locate and find "special" areas in the scene for a large number of images

Method used

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  • SAR image saliency map generation method based on multi-scale and super-pixel segmentation
  • SAR image saliency map generation method based on multi-scale and super-pixel segmentation
  • SAR image saliency map generation method based on multi-scale and super-pixel segmentation

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Embodiment Construction

[0056]This algorithm process is likefigure 1 As shown, the specific implementation steps are as follows:

[0057]Step 1: Based on the SLIC algorithm, multi-scale hyperpox splitting is performed on the input image.

[0058]M-scale is set in advance, namely 1 to scales m, m ≥ 1.

[0059]Make SLIC splitting on the input image under the scale 1 to get n1A super pixel block;

[0060]SLIC segmentation of the input image is performed under the scale 2 to get n2A super pixel block;

[0061]······

[0062]The input image is subjected to SLIC splitting under the scale m to get nMA super pixel block;

[0063]The above is obtained, the super pixel segmentation result is obtained by M scales.

[0064]figure 2 Example of an ultra-pixel segmentation under different scales; an input image corresponding to Figure (a), take N1= 100, the segmentation results are shown in the figure (a); the input image corresponding to Fig. (B), take N1= 200, the segmentation results are shown in Figure (b).

[0065]Step 2: Based on the feature...

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Abstract

The invention provides an SAR image salient target detection method based on multi-scale superpixels, and belongs to the field of signal processing, in particular to the field of synthetic aperture radar image feature extraction. According to the method, super-pixel-level frequency characteristics, super-pixel-level local contrast and super-pixel-level global contrast are included. Linear integration is carried out on the same features under different scales, saliency maps of the features are obtained, and it is guaranteed that the superpixel features obtained under the multiple scales can participate in fusion of the feature maps. And finally, multiplying the feature saliency maps to obtain a final saliency target detection result map. Finally, simulation experiments are carried out on SAR images in different scenes, and compared with various classic saliency detection algorithms and a two-parameter CFAR detection method, it is proved that the saliency target detection effect of the algorithm under most conditions can be better than that of a comparison algorithm, and meanwhile the background clutter suppression effect of the algorithm is higher than that of the comparison algorithm; under comprehensive evaluation, the SAR image salient target detection method has a good SAR image salient target detection effect.

Description

Technical field[0001]The present invention belongs to the field of signal processing, in particular the field of synthetic aperture radar image feature extraction.Background technique[0002]Synthetic Aperture Radar, SAR is a microwave active high-resolution imaging radar, which can overcome the effects of extreme weather such as thunderstorms, blizzards, and achieve all-day active operation tasks. With electromagnetic waves, SAR can detect investigations to hidden under vegetation and ruins, get high-profile high-resolution images in a short time, providing optical images and imposing assistance. Therefore, SAR has an indispensable role in the unique advantages in civil aspects such as disaster testing, agricultural surveys, environmental monitoring, architectural surveying and mapping, and military objectives, battlefield strikes, and ground-to-ground strikes.[0003]High resolution, high imaging area is the main advantage of SAR images, but with the development of SAR imaging technol...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/34G06K9/46G06K9/62
CPCG06V20/13G06V10/25G06V10/267G06V10/44G06V2201/07G06F18/23
Inventor 周云李相东李海翔李熙乐于雪莲汪学刚
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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