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
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;
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
DOI :
10.1109/CVBVS.1999.781098