Increasing the discrimination of synthetic aperture radar recognition models
- 1 December 2002
- journal article
- Published by SPIE-Intl Soc Optical Eng in Optical Engineering
- Vol. 41 (12) , 3298-3306
- https://doi.org/10.1117/1.1517286
Abstract
The focus of this work is optimizing recognition models for synthetic aperture radar (SAR) signatures of vehicles to improve the performance of a recognition algorithm under the extended operating conditions of target articulation, occlusion, and configuration variants. The recognition models are based on quasi-invariant local features, scattering center locations, and magnitudes. The approach determines the similarities and differences among the various vehicle models. Methods to penalize similar features or reward dissimilar features are used to increase the distinguishability of the recognition model instances. Extensive experimental recognition results are presented in terms of confusion matrices and receiver operating characteristic (ROC) curves to show the improvements in recognition performance for real SAR signatures of vehicle targets with articulation, configuration variants, and occlusion. © 2002 Society of Photo-Optical Instrumentation Engineers.Keywords
This publication has 14 references indexed in Scilit:
- Recognizing occluded objects in SAR imagesIEEE Transactions on Aerospace and Electronic Systems, 2001
- Recognizing target variants and articulations in synthetic aperture radar imagesOptical Engineering, 2000
- Standard SAR ATR evaluation experiments using the MSTAR public release data setPublished by SPIE-Intl Soc Optical Eng ,1998
- Feature space trajectory for distorted-object classification and pose estimation in synthetic aperture radarOptical Engineering, 1997
- Optimal trade-off distance classifier correlation filters (OTDCCFs) for synthetic aperture radar automatic target recognition (SAR ATR)Published by SPIE-Intl Soc Optical Eng ,1997
- Synthetic aperture radar detection and clutter rejection minace filtersPattern Recognition, 1997
- Target indexing in SAR images using scattering centers and the Hausdorff distancePattern Recognition Letters, 1996
- Automatic classification of targets in synthetic aperture radar imagery using topographic featuresPublished by SPIE-Intl Soc Optical Eng ,1996
- SAR target indexing with hierarchical distance transformsPublished by SPIE-Intl Soc Optical Eng ,1996
- Principles and evaluation of an automatic target recognition system for synthetic aperture radar imagery based on the use of functional templatesPublished by SPIE-Intl Soc Optical Eng ,1993