Performance of a multiresolution classifier using enhanced-resolution SAR data

Gregory J. Owirka; Alison L. Weaver; Leslie M. Novak

doi:10.1117/12.276091

10 June 1997 Performance of a multiresolution classifier using enhanced-resolution SAR data

Gregory J. Owirka, Alison L. Weaver, Leslie M. Novak

Proceedings Volume 3066, Radar Sensor Technology II; (1997) https://doi.org/10.1117/12.276091
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

MIT Lincoln Laboratory has developed a complete, end-to-end, automatic target detection/recognition system for synthetic aperture radar data. The system uses resolution enhancement (super-resolution) techniques to improve the performance of the automatic target recognition stage. This paper presents a new multi-resolution classification scheme that greatly improves the computational efficiency of the classifier with only a slight loss in classification performance.

Citation Download Citation

Gregory J. Owirka, Alison L. Weaver, and Leslie M. Novak "Performance of a multiresolution classifier using enhanced-resolution SAR data", Proc. SPIE 3066, Radar Sensor Technology II, (10 June 1997); https://doi.org/10.1117/12.276091

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