Atmospheric correction and target detection in aerial hyperspectral imagery

Tools

Young, Andrew and Marshall, Stephen and Gray, Alison and White, Henry (2016) Atmospheric correction and target detection in aerial hyperspectral imagery. In: Marine Enterprise Innovation Scotland Conference 2016, 2016-12-08 - 2016-12-08, Technology and Innovation Centre - University of Strathclyde.

[thumbnail of Young-etal-MEIS2016-Atmospheric-correction-and-target-detection-in-aerial-hyperspectral-imagery]
Preview
 Text. Filename: Young_etal_MEIS2016_Atmospheric_correction_and_target_detection_in_aerial_hyperspectral_imagery.pdf
Final Published Version
Download (897kB)| Preview

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.

ORCID iDs

Young, Andrew ORCID logoORCID: https://orcid.org/0000-0001-6338-6631, Marshall, Stephen ORCID logoORCID: https://orcid.org/0000-0001-7079-5628, Gray, Alison ORCID logoORCID: https://orcid.org/0000-0002-6273-0637 and White, Henry;
CORE (COnnecting REpositories)