Class

Article

College

College of Science

Department

Mathematics and Statistics Department

Faculty Mentor

Kevin Moon

Presentation Type

Poster Presentation

Abstract

  • Longwave infrared (LWIR) hyperspectral images (HSI) are taken from airborne platforms and can be used to find gas plumes.
  • Detection and identification of gas plumes has applications in environmental monitoring, disaster response, and national security
  • Deep learning can be used to identify gases from a large library of materials,  but can be difficult to apply in practice

Location

Logan, UT

Start Date

4-10-2024 12:30 PM

End Date

4-10-2024 1:20 PM

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Apr 10th, 12:30 PM Apr 10th, 1:20 PM

Towards Fast, Realistic Gas Plume Simulation for LWIR Hyperspectral Images to Improve Deep Learning Identification Models

Logan, UT

  • Longwave infrared (LWIR) hyperspectral images (HSI) are taken from airborne platforms and can be used to find gas plumes.
  • Detection and identification of gas plumes has applications in environmental monitoring, disaster response, and national security
  • Deep learning can be used to identify gases from a large library of materials,  but can be difficult to apply in practice