Atmospheric correction and target detection in aerial hyperspectral imagery

Research output: Contribution to conferencePoster

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Abstract

The use of aerial hyperspectral imagery (HSI) in remote sensing is a rapidly growing research area. Currently, targets are generally detected by looking for distinct spectral features of objects under surveillance. For example, a camouflaged vehicle, designed to blend into background trees and grass in the visible spectrum, can be revealed using spectral features in the near-infrared region of the electromagnetic (EM) spectrum.
Original languageEnglish
Number of pages1
Publication statusPublished - 8 Dec 2016
EventMarine Enterprise Innovation Scotland Conference 2016: Conference on Innovation in the Maritime Defence Industry - Technology and Innovation Centre - University of Strathclyde, Glasgow, United Kingdom
Duration: 8 Dec 20168 Dec 2016

Conference

ConferenceMarine Enterprise Innovation Scotland Conference 2016
Abbreviated titleMEISC2016
CountryUnited Kingdom
CityGlasgow
Period8/12/168/12/16

Keywords

  • hyperspectral image processing
  • hyperspectral imaging
  • atmospheric modeling
  • target detection
  • outlier detection
  • anomaly detection
  • MODTRAN
  • hit or miss transform
  • percentage occupancy hit or miss transform

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  • Cite this

    Young, A., Marshall, S., Gray, A., & White, H. (2016). Atmospheric correction and target detection in aerial hyperspectral imagery. Poster session presented at Marine Enterprise Innovation Scotland Conference 2016, Glasgow, United Kingdom.