On a novel approach using MLCC and CFAR for the improvement of ship detection by synthetic aperture radar

IEEE Geoscience and Remote Sensing Letters

Volumn 7, Issue 2, 2010, Pages 391-395

  Hwang, Seong In ^a   Ouchi, Kazuo ^a  

^a NATIONAL DEFENSE ACADEMY   (Japan)

Author keywords

Constant false alarm rate (CFAR); Multilook cross correlation (MLCC); Ship detection; Signal to noise ratio (SNR); Synthetic aperture radar (SAR)

Indexed keywords

ADVANCED LAND OBSERVING SATELLITES; CFAR ALGORITHMS; COHERENCE IMAGES; CONSTANT FALSE ALARM RATE; CROSS CORRELATIONS; FALSE ALARM RATE; FAVORABLE CONDITIONS; FISHING BOATS; HEAVY SEA; L-BAND SYNTHETIC APERTURE RADARS; PHASED ARRAYS; SHIP DETECTION; THRESHOLD LEVELS; THRESHOLD METHODS; THRESHOLDING;

ALARM SYSTEMS; ERRORS; FISHING VESSELS; IMAGE CLASSIFICATION; IMAGING SYSTEMS; MILITARY PHOTOGRAPHY; RADAR; SHIPS; SIGNAL DETECTION; SIGNAL TO NOISE RATIO; SYNTHETIC APERTURES; TRACKING RADAR;

SYNTHETIC APERTURE RADAR;

EID: 77951209302     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2009.2037341     Document Type: Article

References (10)

1. W. H. Munk, P. Scully-Power, and F. Zachariasen, "Ships from space," in Proc. R. Soc. Lond. A, Math. Phys. Sci., Aug. 1987, vol. 412, no. 1843, pp. 231-254.
2. K. Ouchi, S. Tamaki, H. Yaguchi, and M. Iehara, "Ship detection based on coherence images derived from cross correlation of multilook SAR images," IEEE Geosci. Remote Sens. Lett., vol.1, no.3, pp. 184-187, Jul. 2004.
3. T. N. Arnesen and R. B. Olsen, "Literature review on vessel detection," Forsvarets Forskningsinstitutt (Norwegian Defence Research Establishment), Kjeller, Norway, FFI/RAPPORT-2004/02619, 2004.
4. H. Greidanus and N. Kourti, "Findings of the DECLIMS project-detection and classification of marine traffic control," in Proc. SEASAR, Frascati, Italy, 2006.
5. G. Margarit, J. J. Mallorqui, J. M. Rius, and J. Sanz-Marcos, "On the usage of GRECOSAR, an orbital polarimetric SAR simulator of complex targets, to vessel classification studies," IEEE Trans. Geosci. Remote Sens., vol.44, no.12, pp. 3517-3526, Dec. 2006.
6. S.-I. Hwang, H. Wang, and K. Ouchi, "Comparison and evaluation of ship detection and identification algorithms using small boats and ALOS-PALSAR," IEICE Trans. Commun., vol.E92-B, no.12, pp. 3883- 3892, 2009.
7. G. Margarit, J. J. Mallorqui, J. Fortuny-Guasch, and C. Lopez-Martinez, "Exploitation of ship scattering in polarimetric SAR for an improved classification under high clutter conditions," IEEE Trans. Geosci. Remote Sens., vol.47, no.4, pp. 1224-1235, Apr. 2009.
8. H. Greidanus, DECLIMS: Requirements for Future Systems, Joint Res. Center, European Commission. DECLIMS homepage. [Online]. Available: http://declims.jrc.ec.europa.eu
9. M. Sekine and Y. Mao, Weibull Radar Clutter. London, U.K.: Peregrinus, 1990.
10. H. Akaike, "Information theory and an extension of the maximum likelihood principle," in Proc. 2nd Int. Symp. Inf. Theory, 1973, pp. 267-281.