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.
|Number of pages||1|
|Publication status||Published - 8 Dec 2016|
|Event||Marine 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 2016 → 8 Dec 2016
|Conference||Marine Enterprise Innovation Scotland Conference 2016|
|Period||8/12/16 → 8/12/16|
- hyperspectral image processing
- hyperspectral imaging
- atmospheric modeling
- target detection
- outlier detection
- anomaly detection
- hit or miss transform
- percentage occupancy hit or miss transform
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.