DocumentCode
867094
Title
Rank-order filters for FOPEN target detection
Author
Mitra, Atindra K. ; Lewis, Thomas L. ; Shaw, Arnab K.
Author_Institution
Air Force Res. Lab., Wright-Patterson AFB, OH, USA
Volume
11
Issue
2
fYear
2004
Firstpage
93
Lastpage
96
Abstract
Issues associated with the radar detection of military targets that are concealed or camouflaged by forest clutter are described. The specific sensor platform can be categorized as an ultrawideband (UWB) foliage penetration (FOPEN) synthetic aperture radar (SAR). The discussion illustrates the fact that many contemporary approaches to FOPEN target detection are computationally intensive and/or require the implementation of elaborate training procedures. Alternative approaches, based the application of a set of simple rank-order filters (alternately known as order statistical or L filters), are presented. Initial results indicate impressive performance levels (in terms of probability of detection as a function of false-alarm rate) with respect to baseline constant false-alarm rate computations. A number of avenues for future investigations are cited.
Keywords
military radar; nonlinear filters; probability; radar detection; radar imaging; synthetic aperture radar; L filter; SAR; UWB radar; automatic target detection; baseline constant false-alarm rate computation; camouflaged target; concealed target; detection probability; foliage penetration target detection; forest clutter; image processing algorithm; military target radar detection; order statistical filter; rank-order filter set; specific sensor platform; synthetic aperture radar; training procedure implementation; ultrawideband radar; Clutter; Detectors; Filters; Military computing; Object detection; Radar cross section; Radar detection; Radar imaging; Synthetic aperture radar; Vehicle detection;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2003.819856
Filename
1261946
Link To Document