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An SAR image ship target detection method based on superpixel statistical diversity

A super-pixel and dissimilarity technology, applied in the field of radar, can solve the problems of target detection performance degradation and missed detection

Active Publication Date: 2019-06-14
XIDIAN UNIV
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Problems solved by technology

However, this method relies on the average intensity of the pixels in the superpixels, when the background superpixels have similar intensities to the target superpixels, false alarms and missed detections will appear in the target detection results, and the target detection performance will decrease

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  • An SAR image ship target detection method based on superpixel statistical diversity
  • An SAR image ship target detection method based on superpixel statistical diversity
  • An SAR image ship target detection method based on superpixel statistical diversity

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Embodiment Construction

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0019] figure 1 It is a schematic flowchart of a method for detecting a ship target in a SAR image based on superpixel statistical dissimilarity provided by an embodiment of the present invention.

[0020] see figure 1 The SAR image ship target detection method based on superpixel statistical dissimilarity provided by the embodiment of the present invention specifically includes the following steps:

[0021]Step 1. Obtain the SAR image to be detected, perfor...

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Abstract

The invention belongs to the technical field of radars, and discloses an SAR image ship target detection method based on superpixel statistical diversity. The method comprises the steps of obtaining an SAR image to be detected, and performing super-pixel segmentation on the SAR image to obtain W super-pixels; secondly, based on a gamma distribution hypothesis, calculating a shape parameter and aninverse scale parameter of gamma distribution corresponding to each superpixel; calculating a global contrast value and a local contrast value of each superpixel, further calculating to obtain a TCR enhancement value corresponding to the superpixel, and taking the TCR enhancement value as an intensity value of each pixel point in the superpixel so as to obtain a TCR enhanced image; and finally, calculating a detection threshold T, and binarizing the TCR image to obtain a binary image corresponding to the TCR enhanced image. The TCR can be better improved on the basis of superpixel statistics diversity, so that a relatively high target detection rate can be realized at a relatively low false alarm rate, and the target detection performance is improved.

Description

technical field [0001] The invention relates to the field of radar technology, in particular to a method for detecting ship targets in SAR images based on superpixel statistical dissimilarity. Background technique [0002] Synthetic Aperture Radar (English full name: Synthetic Aperture Radar, English abbreviation: SAR) system is not limited by light, weather and other conditions. It can observe the target of interest all-weather and all-weather, and obtain high-resolution two-dimensional SAR images. , is an important means of earth observation, and has been widely used in both civilian and military fields. [0003] Target detection based on SAR image, as a key technology in automatic target recognition system, is a research hotspot in the field of radar. The traditional constant false alarm rate (English full name: Constant False-Alarm Rate, English abbreviation: CFAR) method, such as the unit average constant false alarm rate (English full name: Cell-Averaging Constant Fal...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
Inventor 刘峥李焘王梦白
Owner XIDIAN UNIV
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