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Proceedings Paper

Modified MACE Filters For Distortion-Invariant Recognition Of Relocatable Targets
Author(s): David Casasent; Gopalan Ravichandran
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Paper Abstract

The original MACE (Minimum Average Correlation Energy ) filters are addressed with attention to the effect of iterative refinements, new database tests (on strategic relocatable objects, missile launch-ers), depression angle and resolution effects on the number of training set imagery required and noise performance. Major attention is given to our new MACE filter algorithms for distortion-invariant pattern recognition: iterative shift filter synthesis, MV-MACE (Minimum Variance-MACE) filters (for improved noise performance), multiple symbolic encoded filters and Gaussian Minimum Mean Square Error(MMSE) filters.

Paper Details

Date Published: 1 February 1990
PDF: 11 pages
Proc. SPIE 1156, Airborne Reconnaissance XIII, (1 February 1990); doi: 10.1117/12.962481
Show Author Affiliations
David Casasent, Carnegie Mellon University (United States)
Gopalan Ravichandran, Carnegie Mellon University (United States)

Published in SPIE Proceedings Vol. 1156:
Airborne Reconnaissance XIII
Paul A. Henkel; Francis R. LaGesse; Wayne W. Schurter, Editor(s)

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