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 :
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