DocumentCode
3014478
Title
Quasi-invariants for recognition of articulated and non-standard objects in SAR images
Author
Jones, Grinnell, III ; Bhanu, Bir
Author_Institution
Centre for Res. in Intelligent Syst., California Univ., Riverside, CA, USA
fYear
1999
fDate
1999
Firstpage
88
Lastpage
97
Abstract
Using SAR scattering center locations and magnitudes as features, invariances with articulation (i.e., turret rotation for the ZSU 23/4 gun and T72 tank), with configuration variants (e.g. fuel barrels, searchlights, etc.) and with a depression angle change are shown for real SAR images obtained from the MSTAR public data. This location and magnitude quasi-invariance forms a basis for an innovative SAR recognition engine that successfully identifies real articulated and non-standard configuration vehicles based on non-articulated, standard recognition models. Identification performance results are given as confusion matrices and ROC curves for articulated objects, for configuration variants, and for a small change in depression angle
Keywords
image recognition; matrix algebra; radar imaging; synthetic aperture radar; MSTAR public data; SAR images; articulated objects recognition; articulation; fuel barrels; nonstandard objects; performance results; quasi invariants; real SAR images; recognition models; scattering center locations; searchlights; turret rotation; Azimuth; Engines; Image recognition; Image resolution; Light scattering; Optical scattering; Pattern recognition; Radar imaging; Radar scattering; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision Beyond the Visible Spectrum: Methods and Applications, 1999. (CVBVS '99) Proceedings. IEEE Workshop on
Conference_Location
Fort Collins, CO
Print_ISBN
0-7695-0050-1
Type
conf
DOI
10.1109/CVBVS.1999.781098
Filename
781098
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