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Infrared Small Target Detection Method with Trajectory Correction Fuze Based on Infrared Image Sensor.

Cong Zhang1, Dongguang Li1, Jiashuo Qi1

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Sensors (Basel, Switzerland)
|July 20, 2021
PubMed
Summary

A new density-distance space method enhances infrared small target detection for trajectory correction fuzes. This approach offers superior anti-noise and clutter suppression, improving detection accuracy in complex environments.

Keywords:
density-distance spaceinfrared image sensorsmall target detectiontrajectory correction fuze

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Area of Science:

  • Aerospace Engineering
  • Infrared Imaging Technology
  • Target Detection Systems

Background:

  • Robust detection of infrared small targets is challenging for trajectory correction fuzes due to complex backgrounds and diverse target characteristics.
  • Traditional methods often struggle with noise and clutter, limiting detection performance in dynamic scenarios.
  • The need for advanced detection techniques is critical for enhancing the accuracy and reliability of guided munitions.

Purpose of the Study:

  • To develop and validate a novel detection method for infrared small targets specifically for trajectory correction fuzes.
  • To address the limitations of traditional methods by introducing a density-distance space approach combined with adaptive pixel growth.
  • To evaluate the proposed method's effectiveness in terms of anti-noise, target size variability, multi-target scenarios, and clutter suppression.

Main Methods:

  • Calculation of infrared image sensor parameters to establish detection boundaries.
  • Application of a density-distance space method for identifying candidate targets.
  • Utilization of the adaptive pixel growth (APG) algorithm for clutter suppression and real target identification.
  • Experimental validation through equivalent detection, simulation, and hardware-in-loop testing.

Main Results:

  • The infrared image sensor demonstrated a stable field of view during projectile rotation, enabling clear observation of small infrared targets.
  • The proposed density-distance space method exhibited superior performance in anti-noise capabilities, detection of varied target sizes, and multi-target scenarios.
  • The adaptive pixel growth algorithm effectively suppressed various types of clutter, leading to accurate real target detection.
  • Comparative analysis showed the algorithm outperformed six other novel algorithms in detection performance while maintaining acceptable processing times.

Conclusions:

  • The proposed density-distance space detection method, integrated with APG, is highly effective for infrared small target detection in trajectory correction fuzes.
  • The method provides robust performance against noise and clutter, and is capable of detecting multiple targets of varying sizes.
  • This advanced technique offers a significant improvement over existing algorithms, ensuring reliable target acquisition for guided munitions.