SAR prescreening using both target and shadow information

IEEE National Radar Conference - Proceedings

Volumn , Issue , 2001, Pages 147-152

  Kaplan, Lance M ^b   Sciotti, Massimo ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b CLARK ATLANTA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AUTOMATIC TARGET RECOGNITION; COMPUTER SIMULATION; DATABASE SYSTEMS; MAXIMUM LIKELIHOOD ESTIMATION; PROBABILITY DISTRIBUTIONS; RADAR CROSS SECTION; RADAR IMAGING; RADAR TARGET RECOGNITION;

CONSTANT FALSE ALARM RATE; GENERALIZED LIKELIHOOD RATIO TEST; SHADOW TO CLUTTER RATIO; SYNTHETIC APERTURE RADAR PRESCREENING; TARGET TO CLUTTER RATIO;

SYNTHETIC APERTURE RADAR;

EID: 0035018559     PISSN: 10975659     EISSN: None     Source Type: Journal    
DOI: 10.1109/NRC.2001.922968     Document Type: Article

References (6)

1. Effects of polarization and resolution on SAR ATR
2. Performance of a high resolution polarimetric SAR automatic target recognition system
3. Optimum CFAR detection against compound Gaussian clutter with partially correlated texture
4. Improved synthetic aperture radar target detection via extended fractal features
5. Exploiting the shadow information to increase the target detection performance in SAR images
6. Ship detection in SAR images: A segmentation-based technique