Human task performance on detecting distant targets under cluttered background in NIR and LWIR

L. Zhang, M. Martino, Lorges Furshi, E. Jacobs, R. Driggers, C. K. Renshaw

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study investigates human ability to detect distant targets in cluttered backgrounds using NIR and LWIR, aiming to facilitate AI performance analysis. Through perception tests and employing NV-IPM, it reveals key insights into how image quality influences detectability across NIR and LWIR scenarios.

Original languageEnglish (US)
Title of host publication2024 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350373097
DOIs
StatePublished - 2024
Event2024 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2024 - Miramar Beach, United States
Duration: Aug 14 2024Aug 16 2024

Publication series

Name2024 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2024 - Proceedings

Conference

Conference2024 IEEE Research and Applications of Photonics in Defense Conference, RAPID 2024
Country/TerritoryUnited States
CityMiramar Beach
Period8/14/248/16/24

Keywords

  • infrared imaging
  • perception test
  • target detection

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Modeling and Simulation
  • Atomic and Molecular Physics, and Optics
  • Radiation

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