DocumentCode
3425233
Title
Empirically generated metric spaces for ATR in clutter
Author
Bitouk, D. ; Miller, M.I. ; Younes, L.
Author_Institution
Center for Imaging Sci., Johns Hopkins Univ., Baltimore, MD, USA
Volume
2
fYear
2002
fDate
3-6 Nov. 2002
Firstpage
1407
Abstract
One of the central problems in automated target recognition is to accommodate the infinite variety of clutter in real military environments. Our principle focus is to construct a metric space where the metric measures the distance between objects of interest invariant to the infinite variety of clutter. Such metrics are formulated using second-order random field models.
Keywords
clutter; image processing; military computing; military systems; object recognition; ATR; EO imagery; automated target recognition; clutter; electro-optical images; metric spaces; military environments; objects of interest; second-order random field models; Artificial intelligence; Computational geometry; Context modeling; Extraterrestrial measurements; Image analysis; Layout; Robustness; Solid modeling; Statistics; Target recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-7576-9
Type
conf
DOI
10.1109/ACSSC.2002.1197010
Filename
1197010
Link To Document