Characterization of a bayesian ship detection method in optical satellite images

IEEE Geoscience and Remote Sensing Letters

Volumn 7, Issue 2, 2010, Pages 226-230

  Proia, Nadia ^a   Pagé, Vincent ^a  

^a UNIVERSITÉ DES ANTILLES   (France)

Author keywords

Image analysis; Remote sensing

Indexed keywords

ANALYSIS WINDOWS; BAYESIAN; BAYESIAN DECISION THEORY; CHARACTERISTIC CURVE; DETECTION METHODS; HIGH-RESOLUTION OPTICAL SATELLITE IMAGES; OPERATIONAL CONDITIONS; OPTICAL SATELLITE IMAGES; SHIP DETECTION; TWO PARAMETER;

BAYESIAN NETWORKS; DECISION THEORY; GAME THEORY; IMAGE ANALYSIS; REMOTE SENSING; SHIPS;

PIXELS;

EID: 77951207961     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2009.2031826     Document Type: Article

References (15)

1. M. Tello, C. Lopez-Martinez, and J. Mallorqui, "A novel algorithm for ship detection in SAR imagery based on the wavelet transform," IEEE Geosci. Remote Sens. Lett., vol.5, no.2, pp. 201-205, Apr. 2005. (Pubitemid 40680175)
2. I.-I. Lin and V. Khoo, "Computer-based algorithm for ship detection from ERS-SAR imagery," in Proc. 3rd ERS Symp. Space Service Environ., 1997, vol.414, p. 1411.
3. D. Crisp, "The state-of-the-art in ship detection in synthetic aperture radar imagery," Defence Sci. Technol. Org., Melbourne, Australia, 2004.
4. H. Greidanus, P. Clayton, M. Indregard, G. Staples, N. Suzuki, P. Vachoir, C. Wackerman, T. Tennvassas, J. Mallorqui, N. Kourti, R. Ringrose, and H. Melief, "Benchmarking operational SAR ship detection," in Proc. IEEE IGARSS, Anchorage, AK, Sep. 20-24, 2004, vol.6, pp. 4215-4218.
5. R. Duda and P. Hart, Pattern Classification and Scene Analysis. New York: Wiley, 1973.
6. C. M. Bishop, Neural Networks for Pattern Recognition. New York: Oxford Univ. Press, 1995.
7. A. Opelt, A. Pinz, M. Fussenegger, and P. Auer, "Generic object recognition with boosting," IEEE Trans. Pattern Anal. Mach. Intell., vol.28, no.3, pp. 416-431, Mar. 2006.
8. S. Mallat and W. L. Hwang, "Singularity detection and processing with wavelets," IEEE Trans. Inf. Theory, vol.38, no.2, pp. 617-643, Mar. 1992.
9. E. Grandchamp and P. Marthon, "Driving segmentation and recognition phases using multiscale characterization," in Proc. IEEE IGARSS, Toulouse, France, Jul. 21-25, 2003, pp. 3441-3443.
10. R. Haralick, S. Sternberg, and X. Zhuang, "Image analysis using mathematical morphology," IEEE Trans. Pattern Anal. Mach. Intell., vol.PAMI-9, no.4, pp. 532-550, Jul. 1987.
11. C. J. Oliver, D. Blacknell, and R. G. White, "Optimum edge detection in SAR," Proc. Inst. Elect. Eng.-Radar, Sonar Navig., vol.143, no.1, pp. 31-40, Feb. 1996.
12. V. Page, F. Goudail, and P. Refregier, "Improved robustness to nonhomogeneous background using the maximum-likelihood ratio test location algorithm," Opt. Lett., vol.24, no.20, pp. 1383-1385, Oct. 1999.
13. C. Liu, P. Vachon, and G. Geling, "Improved ship detection with airborne polarimetric SAR data," Can. J. Remote Sens., vol.31, no.1, pp. 122-131, Feb. 2005.
14. L. L. Scharf, Statistical Signal Processing: Detection, Estimation, and Time Series Analysis. Reading, MA: Addison-Wesley, 1991.
15. T. Fawcett, "An introduction to ROC analysis," Pattern Recognit. Lett., vol.27, no.8, pp. 861-874, Jun. 2006.