Outlier and target detection in aerial hyperspectral imagery
Young, Andrew and Killey, Ainsley and Marshall, Stephen and Gray, Alison; (2014) Outlier and target detection in aerial hyperspectral imagery. In: Proceedings of HSI 2014, 15-16th October 2014. UNSPECIFIED, GBR.
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Abstract
The use of aerial hyperspectral imagery for the purpose of remote sensing is a rapidly growing research area. Currently, targets are generally detected by looking for distinct spectral features of the objects under surveillance. This work aims to develop improved target detection methods, using a two-stage approach, firstly by development of a physics-based atmospheric correction algorithm to convert radiance into reflectance hyperspectral image data and secondly by use of improved spectral unmixing techniques.
ORCID iDs
Young, Andrew
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Item type: Book Section ID code: 52125 Dates: DateEventOctober 2014Published15 August 2014AcceptedSubjects: Science > Physics Department: Faculty of Science > Mathematics and Statistics
Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 06 Mar 2015 12:13 Last modified: 31 Jan 2025 02:14 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/52125