Target signature manifold methods applied to the MSTAR dataset: Preliminary results

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4382, Issue , 2001, Pages 389-394

  Bryant, M L ^a  

^a AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

Bayes; FFT; FIR; GLRT; Hypothesis Tests; Kalman Smoothing; Signature Manifold Estimation

Indexed keywords

ALGORITHMS; DATA ACQUISITION; FAST FOURIER TRANSFORMS; FIR FILTERS; PARAMETER ESTIMATION; RADAR TARGET RECOGNITION;

TARGET SIGNATURE MANIFOLD METHODS;

SYNTHETIC APERTURE RADAR;

EID: 0035157970     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.438232     Document Type: Conference Paper

References (6)

1. Managing nuisance parameters
2. Class separability assessments and MSE algorithm robustness
3. Standard SAR ATR evaluation experiments using the MSTAR public release data set