Performance analysis of dim moving point target detection algorithms

Performance analysis of dim moving point target detection algorithms

This paper studies the performance comparison of track-before-detect (TBD) and detect-before-track (DBT) multi-frame detection algorithms for the detection of weak moving point targets in infrared image sequences data collected from a scanning sensor. Results indicate that the performance of TBD is...

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Bibliographische Detailangaben
Hauptverfasser: Askar, H., Xiaofeng Li, Zaiming Li
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Analytical models
Computational modeling
Detection algorithms
High performance computing
Image sequences
Infrared detectors
Infrared image sensors
Object detection
Performance analysis
Target tracking
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Beschreibung
Zusammenfassung:This paper studies the performance comparison of track-before-detect (TBD) and detect-before-track (DBT) multi-frame detection algorithms for the detection of weak moving point targets in infrared image sequences data collected from a scanning sensor. Results indicate that the performance of TBD is superior to that of DBT in all respects for low SNR. However, while computationally simple, DBT can have a reasonable performance only for high SNR. Simulations verify the results of the analysis and the conclusions drawn.
DOI:10.1109/ICCCAS.2002.1178951