Journal of Jilin University(Engineering and Technology Edition) ›› 2025, Vol. 55 ›› Issue (10): 3410-3415.doi: 10.13229/j.cnki.jdxbgxb.20231423

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Airborne laser synthetic aperture radar image target recognition under unbalanced state

Yu-hang HOU1(),Kai-li SONG1,Xiao-chen CHEN2,Jian-feng XIANG2,Shi-jun ZOU3   

  1. 1.Shenyang Aircraft Design and Research Institute of Aviation Industry，Shenyang 243000，China
    2.The First Military Representative Office of Haizhuang Shenyang Bureau in Shenyang Area，Shenyang 243000，China
    3.The First Military Representative Office of the Air Force Equipment Department in Shenyang，Shenyang 243000，China
  • Received:2023-10-26 Online:2025-10-01 Published:2026-02-03

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Abstract:

In order to accurately carry out target recognition and tracking， a non equilibrium airborne laser synthetic aperture radar image target recognition method is proposed. Firstly， based on the principle of Kalman filtering， an image correction model is established to correct the distortion phenomenon of images in non-equilibrium states； Secondly， the color compensation rate was calculated to compensate for the color channels of SAR images and image clarity was improved； Finally， the processed SAR image is input into the extended convolutional capsule network to achieve image target recognition through multi-scale feature fusion and feature learning. The experimental results show that the proposed method has good image processing performance and high target recognition accuracy.

Key words: Kalman filtering, image distortion correction, image compensation, airborne laser synthetic aperture radar images, target recognition

CLC Number: 

  • TP753

Fig.1

SAR Images captured in non-equilibrium state"

Fig.2

Image processing results of different methods"

Fig.3

Image target recognition results"

Fig.4

Target recognition accuracy"

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