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, England.
Young_etal_HSI2014_outlier_target_detection_aerial_hyperspectral_imagery.pdf - Accepted Author Manuscript
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.
|Item type:||Book Section|
|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:||18 Apr 2017 19:49|