
Proceedings Paper
Fuzzy synthesis evaluation for image target recognition performanceFormat | Member Price | Non-Member Price |
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Paper Abstract
With the rapid development of optoelectronic tracking and measurement technology, the testing and evaluation for the
tracking system and its inner algorithms are urgently demanded. Automobile target recognition(ATR) technology for the
image is a key part of the tracking system based on the image, and develops advanced and fast, which makes the
performance evaluation difficult and complex. There is not a reliable and effective evaluation method adaptable to the
developing technology. Therefore, a fuzzy synthesis evaluation method for ATR system or its detection and recognition
algorithms group was proposed. The evaluation indexes were selected and designed, which weights were calculated by
the direct method, W-road method and the change weight method. The simulation testing conditions, the size and the
hypothesis test methods of the statistic swatch were discussed. The mean, the covariance dependency and the distribution
indexes of the probability of detection(Pd) were effectively tested. The statistic ranges corresponding to evaluation ranks
of these indexes were established. Finally, the simple model and the division model of the fuzzy synthesis evaluation
algorithm were discussed. Tests show, this method is valuable for getting the occurrence probabilities of the different
performance racks of the system or the algorithms group corresponding to vary environment levels.
Paper Details
Date Published: 24 November 2009
PDF: 7 pages
Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75130V (24 November 2009); doi: 10.1117/12.835966
Published in SPIE Proceedings Vol. 7513:
2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng, Editor(s)
PDF: 7 pages
Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75130V (24 November 2009); doi: 10.1117/12.835966
Show Author Affiliations
Yong Zhang, Chong Qing Technology and Business Univ. (China)
TaiBin Wu, Chong Qing Technology and Business Univ. (China)
Published in SPIE Proceedings Vol. 7513:
2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng, Editor(s)
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