Paper
22 October 2001 Advanced detection and correlation-based automatic target recognition
Author Affiliations +
Abstract
Recognizing targets in IR images has been a long-standing and challenging problem. In this paper we outline a combination of detection methods based on optimized feature discrimination and correlation based classification techniques that demonstrate an improvement ability to separate target from clutter. Preliminary results are shown on a small subset of data obtained from NVESD to illustrate the possible performance gains.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Abhijit Mahalanobis and Robert R. Muise "Advanced detection and correlation-based automatic target recognition", Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); https://doi.org/10.1117/12.445394
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Target detection

Automatic target recognition

Sensors

Image processing

Detection and tracking algorithms

Image filtering

Signal to noise ratio

RELATED CONTENT

Target detection based on hierarchical saliency feature model
Proceedings of SPIE (November 15 2007)
Morphological technique for clutter suppression in ATR
Proceedings of SPIE (September 18 1998)
ATR Systems: A Northrop Perspective
Proceedings of SPIE (September 20 1987)
Study of identifying airdrome algorithm in the infrared image
Proceedings of SPIE (November 15 2007)

Back to Top