Title
A Method for Assessing Spectral Image Utility
Abstract
Abstract—The utility of an image is an attribute that describes the ability of that image to satisfy performance requirements for a particular application. This paper establishes the context for spectral image utility by first reviewing traditional approaches to assessing panchromatic image utility and then discussing differ- ences for spectral imagery. We define spectral image utility for the subpixel target detection application as the area under the receiver operating curve summarized across a range of target detection scenario parameters. We propose a new approach to assessing the utility of any spectral image for any target type and size and detection algorithm. Using six airborne hyperspectral images, we demonstrate the sensitivity of the assessed image utility to various target detection scenario parameters and show the flexibility of this approach as a tool to answer specific user information re- quirements. The results of this investigation lead to a better under- standing of spectral image information vis-à-vis target detection performance and provide a step toward quantifying the ability of a spectral image to satisfy information exploitation requirements. Index Terms—Hyperspectral imagery, object detection, spectral
Year
DOI
Venue
2009
10.1109/TGRS.2008.2006364
Geoscience and Remote Sensing, IEEE Transactions
Keywords
Field
DocType
geophysical signal processing,geophysical techniques,image processing,object detection,remote sensing,airborne hyperspectral images,panchromatic image utility,receiver operating curve,spectral image utility,subpixel target detection,Hyperspectral imagery,object detection,spectral image analysis,spectral image utility
Object detection,Computer vision,Image sensor,Panchromatic film,Remote sensing,Image processing,User information,Hyperspectral imaging,Artificial intelligence,Subpixel rendering,Image resolution,Mathematics
Journal
Volume
Issue
ISSN
47
6
0196-2892
Citations 
PageRank 
References 
26
1.66
6
Authors
2
Name
Order
Citations
PageRank
Marcus S. Stefanou1393.21
John P. Kerekes219435.38