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Multi-feature fusion complex background mid-infrared weak and small target detection method and system

A multi-feature fusion and complex background technology, which is applied in the field of infrared weak and small target detection, can solve the problems of poor algorithm adaptability, false alarm of detection results, and affecting the accuracy of detection results, etc., achieving strong self-adaptation, low complexity, and easy engineering implementation Effect

Pending Publication Date: 2022-01-14
CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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Problems solved by technology

[0005] The purpose of the present invention is to provide a method and system for detecting weak and small infrared targets in complex backgrounds with multi-feature fusion, so as to solve the poor adaptability of algorithms in the detection of weak and small infrared targets in complex backgrounds in the prior art, resulting in a large number of detection results. False alarms, which affect the accuracy of detection results

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  • Multi-feature fusion complex background mid-infrared weak and small target detection method and system
  • Multi-feature fusion complex background mid-infrared weak and small target detection method and system
  • Multi-feature fusion complex background mid-infrared weak and small target detection method and system

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Embodiment 1

[0117] Such as figure 1 As shown, a multi-feature fusion complex background mid-infrared faint target detection method includes the following steps:

[0118] Step 1. The original infrared digital image is corrected for environmental impact through the following calculation formula to obtain a two-dimensional distribution map of the equivalent brightness temperature of a zero-horizon blackbody:

[0119]

[0120] B(T obs ) is the temperature equal to T obs The blackbody radiation of , that is, the brightness temperature observed by the thermal imager, can be obtained according to the observation results of the instrument; B(T target ) is the target real temperature T target The corresponding blackbody radiation temperature is obtained according to the instrument parameter table; ε is the blackbody equivalent emissivity within the band of the thermal imager; B(T atm )·(1-τ atm ) is the process radiation superimposed in the observation value, τ a m It is related to envir...

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Abstract

The invention discloses a multi-feature fusion complex background mid-infrared weak and small target detection method and system, belongs to the technical field of infrared target detection and recognition, and solves the problems that in the prior art, when a complex background mid-infrared weak and small target is detected, the algorithm adaptability is poor, a large number of false alarms occur in a detection result, and the precision of the detection result is affected; the method comprises the following steps: firstly, extracting radiation characteristics, multi-order directional derivative characteristics and spectrum characteristics which respectively represent radiation characteristics, structural characteristics and intensity characteristics of a weak and small target, fusing the multiple characteristics, constructing a characteristic saliency map, and inhibiting background noise while enhancing the target; using a CFAR adaptive detection method to calculate a segmentation threshold value of the image, obtaining a binary segmentation result, carrying out morphological processing to screen out false targets caused by isolated points and noise, and obtaining a final weak and small target detection result; the method is low in algorithm complexity, high in adaptability to complex backgrounds, high in detection precision and convenient for engineering implementation.

Description

technical field [0001] The invention belongs to the technical field of infrared target detection and recognition, and relates to a method and system for detecting dim and small infrared targets in complex backgrounds with multi-feature fusion. Background technique [0002] The accuracy of the detection results of the traditional single-feature threshold segmentation detection algorithm for weak and small targets in infrared images is highly dependent on the intensity of the target pixels and the number of pixels. Therefore, for infrared images, the preset threshold segmentation method is directly used for target detection, and the processing characteristics are relatively simple, the obtained target detection rate is low, and the false alarm is high. [0003] At present, some researches on infrared target detection methods based on multi-feature fusion have been carried out at home and abroad, and an available algorithm model has been formed, but there are still several impo...

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Application Information

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IPC IPC(8): G06T7/00G06T7/136G06T5/00G06T5/10G06T5/30G06V10/762G06V10/80G06K9/62
CPCG06T7/0002G06T7/136G06T5/10G06T5/30G06T2207/10048G06T2207/20004G06T2207/20036G06T2207/20056G06F18/23G06F18/253G06T5/70
Inventor 张程曹菡张玉营姚佰栋许涛刘静寒梁之勇
Owner CHINA ELECTRONIC TECH GRP CORP NO 38 RES INST
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