Identification of ground targets from sequential HRR radar signatures

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 5, Issue , 2001, Pages 2897-2900

  Liao, X ^a   Runkle, P ^a   Jiao, Y ^a   Carin, L ^a  

^a Duke University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC WAVE SCATTERING; FEATURE EXTRACTION; GENETIC ALGORITHMS; MARKOV PROCESSES; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; PROBABILITY; SIGNAL PROCESSING;

GROUND TARGETS; HIDDEN MARKOV MODEL; HIGH RANGE RESOLUTION RADAR SIGNATURES;

RADAR TARGET RECOGNITION;

EID: 0034854539     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Using range profiles as feature vectors to identify aerospace objects
2. Correlation filters for aircraft identification from radar range profiles
3. Radart arget classification of commercial aircraft
4. Robust statistical feature based aircraft identification
5. Model-based classification of radar images
6. State-of-the-art of SAR automatic target recognition
7. On the aspect sensitivity of high resolution range profiles and its reduction methods
8. Hidden Markov models for multiaspect classification
9. On superresolution identification of observables from swept-frequency scattering data
10. Using the matrix pencil method to estimate the parameters of a sum of complex exponentials
11. Efficient mixed-spectrum estimation with application to target feature extraction
12. High resolution radar target modeling using modified prony estimator
13. A tutorial on hidden Markov models and selected applications in speech recognition
14. Sonar for general target description and its similarity to animal echolocation systems