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.
Creators(s): |
Young, Andrew ![]() ![]() ![]() | Item type: | Book Section |
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ID code: | 52125 |
Keywords: | hyperspectral imaging, target detection, remote sensing, spectral unmixing, Physics, Atmospheric Science |
Subjects: | Science > Physics |
Department: | Faculty of Science > Mathematics and Statistics Faculty of Engineering > Electronic and Electrical Engineering Technology and Innovation Centre > Sensors and Asset Management |
Depositing user: | Pure Administrator |
Date deposited: | 06 Mar 2015 12:13 |
Last modified: | 01 Jan 2021 02:53 |
Related URLs: | |
URI: | https://strathprints.strath.ac.uk/id/eprint/52125 |
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