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Infrared Single-Frame Small Target Detection Based on Block-Matching.

Yi Man1,2, Qingyun Yang3,4, Tao Chen1

  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.

Sensors (Basel, Switzerland)
|November 11, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new infrared small target detection method using block-matching and robust principal component analysis. The technique effectively suppresses complex backgrounds for improved small target identification in infrared systems.

Keywords:
block-matchinginfrared imagelow-rank matrix recoverysmall target detection

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Area of Science:

  • Computer Vision
  • Infrared Imaging
  • Signal Processing

Background:

  • Robust detection of small targets is crucial for infrared systems.
  • Complex backgrounds pose significant challenges for small target detection.

Purpose of the Study:

  • To propose an infrared single-frame detection method robust to complex backgrounds.
  • To enhance the detection performance of small targets in infrared imagery.

Main Methods:

  • Block-matching approach for infrared image processing.
  • Construction of a novel infrared model using similar block extraction.
  • Formulation of detection as a low-rank and sparse matrix recovery problem using robust principal component analysis (RPCA).
  • Reconstruction of target and background images, followed by segmentation.

Main Results:

  • Demonstrated superior background suppression capabilities in complex environments.
  • Achieved better detection performance compared to conventional baseline methods.
  • Experimental validation on actual infrared sequences.

Conclusions:

  • The proposed block-matching based method effectively addresses the challenges of small target detection under complex infrared backgrounds.
  • The method offers improved robustness and detection accuracy for infrared systems.