Evaluating Subpixel Target Detection Algorithms in Hyperspectral Imagery
Joint Authors
August, Yitzhak
Rotman, Stanley R.
Blumberg, Dan G.
Cohen, Yuval
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-30
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
Our goal in this work is to demonstrate that detectors behave differently for different images and targets and to propose a novel approach to proper detector selection.
To choose the algorithm, we analyze image statistics, the target signature, and the target's physical size, but we do not need any type of ground truth.
We demonstrate our ability to evaluate detectors and find the best settings for their free parameters by comparing our results using the following stochastic algorithms for target detection: the constrained energy minimization (CEM), generalized likelihood ratio test (GLRT), and adaptive coherence estimator (ACE) algorithms.
We test our concepts by using the dataset and scoring methodology of the Rochester Institute of Technology (RIT) Target Detection Blind Test project.
The results show that our concept correctly ranks algorithms for the particular images and targets including in the RIT dataset.
American Psychological Association (APA)
Cohen, Yuval& August, Yitzhak& Blumberg, Dan G.& Rotman, Stanley R.. 2012. Evaluating Subpixel Target Detection Algorithms in Hyperspectral Imagery. Journal of Electrical and Computer Engineering،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-446554
Modern Language Association (MLA)
Cohen, Yuval…[et al.]. Evaluating Subpixel Target Detection Algorithms in Hyperspectral Imagery. Journal of Electrical and Computer Engineering No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-446554
American Medical Association (AMA)
Cohen, Yuval& August, Yitzhak& Blumberg, Dan G.& Rotman, Stanley R.. Evaluating Subpixel Target Detection Algorithms in Hyperspectral Imagery. Journal of Electrical and Computer Engineering. 2012. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-446554
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-446554