Improved SAR target detection via extended fractal features

IEEE Transactions on Aerospace and Electronic Systems

Volumn 37, Issue 2, 2001, Pages 436-451

  Kaplan, L M ^a  

^a CLARK ATLANTA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AUTOMATIC TARGET RECOGNITION; FOCUSING; IMAGE ENHANCEMENT; RADAR IMAGING;

EXTENDED FRACTAL FEATURES; FOCUS OF ATTENTION; TARGET PIXELS;

SYNTHETIC APERTURE RADAR;

EID: 0035300459     PISSN: 00189251     EISSN: None     Source Type: Journal    
DOI: 10.1109/7.937460     Document Type: Article

References (18)

1. False alarm regulation in log-normal and Weibull clutter
2. Non-Gaussian CFAR techniques for target detection in high resolution SAR images
3. Effects of polarization and resolution on SAR ATR
4. On the performance of ordered-statistics CFAR detectors
5. Very fast detection
6. Multi-class SAR ATR using shift-invariant correlation filters
7. Evaluation of MACH and DCCF correlation filters for SAR ATR using the MSTAR public database
8. Eigen-correlators and feature trajectories for MSTAR object detection and classification
9. Multiresolution detection of coherent radar targets
10. Multistage algorithm for detection of targets in image data
11. Texture roughness analysis and synthesis via extended self-similar (ESS) model
12. Extended fractal analysis for texture classification and segmentation
13. Fractal-based description of natural scenes
14. SAR target detection by fusion of CFAR, variance, and fractal statistics
15. Improved SAR FOA via linear fusion of extended fractal and CFAR features