Spotlight Synthetic Aperture Radar (SAR) requirements evaluation using phenomenology-based image quality metrics

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4374, Issue 1, 2001, Pages 34-39

  Clinard, Mark ^a   Miettinen, Kristo ^a   Zavattero, Paul ^a  

^a EASTMAN KODAK COMPANY   (United States)

Author keywords

Automatic Target Detection; Automatic Target Recognition; SAR image quality metrics

Indexed keywords

ALGORITHMS; AUTOMATIC TARGET RECOGNITION; COMPUTER SIMULATION; COMPUTER SOFTWARE; IMAGE QUALITY; IMPULSE RESPONSE; RADAR CLUTTER; RADAR IMAGING;

IMAGE QUALITY METRICS;

SYNTHETIC APERTURE RADAR;

EID: 0035168701     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.438160     Document Type: Article

References (16)

1. Synthetic Aperture Radar (SAR) image quality considerations
2. Performance of a high-resolution polarimetric SAR automatic target recognition system
3. A new SAR ATR algorithm suite
4. Characterizing SAR image complexity for ATR
5. Assessing the impact of image compression on SAR automatic target detection and cueing
6. Automatic target recognition using enhanced resolution SAR data
7. Discriminating targets from clutter
8. High frequency phase errors in SAR imagery and implications for autofocus
9. A comparison of superresolution algorithms
10. Studies of target detection algorithms that use polarimetric radar data
11. Nonlinear apodization for sidelobe control in SAR imagery
12. Statistical analyses of measured radar ground clutter data