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, England.

[img] PDF (Young-etal-HSI2014-outlier-target-detection-aerial-hyperspectral-imagery)
Young_etal_HSI2014_outlier_target_detection_aerial_hyperspectral_imagery.pdf
Accepted Author Manuscript
Download (1MB)

    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.

    Author(s):Young, Andrew ORCID logoORCID: https://orcid.org/0000-0001-6338-6631, Killey, Ainsley, Marshall, Stephen ORCID logoORCID: https://orcid.org/0000-0001-7079-5628 and Gray, Alison ORCID logoORCID: https://orcid.org/0000-0002-6273-0637
    Item type:Book Section
    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:04 Oct 2019 04:37
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/52125
    Export data:
    CORE (COnnecting REpositories)