Int J Performability Eng ›› 2020, Vol. 16 ›› Issue (8): 1310-1320.doi: 10.23940/ijpe.20.08.p18.13101320

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Simulation for Target Detection in Polarimetric Scenes

Junhua Yuea and Yan Lib,*   

  1. aCreative Centre for ArtSciArch, Jilin Architecture University, Changchun, 130118, China;
    bChangchun Institute of Optics, Fine Mechanics and Physics, Changchun, 130033, China
  • Submitted on ; Revised on ; Accepted on
  • Contact: *E-mail address: ly2455@sina.com
  • About author:Junhua Yue is an associate associate professor at Jilin Architecture University. Her research interests include digital image processing and pattern recognition.Yan Li is a researcher in fine mechanics and physics at the Changchun Institute of Optics. His research interests include pattern recognition and visual simulation technology.

Abstract: Aiming to precisely detect targets in complex scenes using optical remote sensing technology, the technology of modeling and simulation for polarimetric detection on remotely-sensed targets is discussed. Due to the complex interference between targets, background reflection, and aerosol radiation in real environments, the modeling and simulation of polarimetric targets are difficult. Firstly, the optical theories and basics of polarimetric model are introduced, and then a numerical simulation and analysis for Priest-Germer model are given. The Priest-Germer model obtains different results for different materials and is capable of distinguishing materials. The design idea and software frame of polarimetric detection software are provided. Finally, giving two kinds of material and two wavelength irradiation (440nm, 600nm), four groups of simulation experiments for two targets and polarimetric image histogram comparison are exhibited. The derived results prove that polarimetric simulation software based on PG model is sensitive to different targets, irradiation, and materials and provides distinguishing ability. The visualization effects are relatively good, the software has great values on practice, and it is shown that the target model, atmospheric transmission model, and physical property of materials have comprehensive and decisive effects on polarimetric imaging.

Key words: polarimetric imaging, Priest-Germer model, simulation, OpenGL