Young, Andrew and Marshall, Stephen and Gray, Alison (2016) Outlier and target detection in aerial hyperspectral imagery : a comparison of traditional and percentage occupancy hit or miss transform techniques. In: Proc. SPIE 9844, Automatic Target Recognition XXVI. SPIE.
Young_etal_ATR2016_outlier_target_detection_aerial_hyperspectral_imagery_comparison_traditional.pdf - Accepted Author Manuscript
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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. For example, a camouflaged vehicle, deliberately designed to blend into background trees and grass in the visible spectrum, can be revealed using spectral features in the near-infrared spectrum. 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 outlier detection techniques. In this paper the use of the Percentage Occupancy Hit or Miss Transform is explored to provide an automated method for target detection in aerial hyperspectral imagery.
|Item type:||Book Section|
|Notes:||Andrew Young ; Stephen Marshall ; Alison Gray; Outlier and target detection in aerial hyperspectral imagery: a comparison of traditional and percentage occupancy hit or miss transform techniques. Proc. SPIE 9844, Automatic Target Recognition XXVI, 98440S (May 12, 2016); doi:10.1117/12.2213530. Copyright 2016 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.|
|Keywords:||hyperspectral imaging (HSI), remote sensing, Sequential Maximum Angle Convex Cone (SMACC), hit or miss transform , Percentage Occupancy Hit or Miss Transform, outlier detection, target detection, Physics, Electrical engineering. Electronics Nuclear engineering, Physics and Astronomy(all), Electrical and Electronic Engineering|
|Subjects:||Science > Physics
Technology > Electrical engineering. Electronics Nuclear engineering
|Department:||Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset Management
Faculty of Science > Mathematics and Statistics
|Depositing user:||Pure Administrator|
|Date Deposited:||27 May 2016 09:17|
|Last modified:||22 Mar 2017 15:58|