Oil tank detection in synthetic aperture radar images based on quasi-circular shadow and highlighting arcs

Journal of Applied Remote Sensing

Volumn 8, Issue 1, 2014, Pages

  Xu, Huaping ^a   Chen, Wei ^a   Sun, Bing ^a   Chen, Yifei ^a   Li, Chunsheng ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

detection; highlighting arc; oil tanks; shadow; synthetic aperture radar

Indexed keywords

ALARM SYSTEMS; CYLINDERS (SHAPES); ERROR DETECTION; ERRORS; GEOMETRICAL OPTICS; OIL TANKS; REMOTE SENSING; SYNTHETIC APERTURE RADAR; TRACKING RADAR;

DOUBLE REFLECTIONS; HIGHLIGHTING ARC; OPTICAL IMAGE; OPTICAL METHODS; QUASI CIRCULARS; SHADOW; STRONG SCATTERINGS; SYNTHETIC APERTURE RADAR (SAR) IMAGES;

RADAR IMAGING;

EID: 84897811064     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.8.083689     Document Type: Article

References (15)

1. R. O. Duda and P. E. Hart, "Use of the Hough transformation to detect lines and curves in pictures," Commun. ACM 15(1), 11-15 (1972), http://dx.doi.org/10.1145/361237.361242.
2. A. Yla-Jaaski and N. Kiryati, "Adaptive termination of voting in the probabilistic circular Hough transform," IEEE Trans. Pattern Anal. Mach. Intell. 16(9), 911-915 (1994), http://dx.doi.org/10.1109/34.310688.
3. C.-T. Ho and L.-H. Chen, "A fast ellipse/circle detector using geometric symmetry," Pattern Recognit. 28(1), 117-124 (1995), http://dx.doi.org/10.1016/0031-3203(94)00077-Y.
4. W. Yi and W. Pei-Jun, "A fast finding and fitting algorithm to detect circles," in Geosci. Remote Sens. Symp. Proc., pp. 1187-1189, Seattle (1998).
5. A. Chen and J. Li, "Automatic recognition method for quasi-circular oil depots in satellite remote sensing images," Opto-Electron. Eng. 33(9), 96-100 (2006). (Pubitemid 44724057)
6. K. El-Darymli et al., "Target detection in synthetic apertureradar imagery: a state-of-the-art survey," J. Appl. Remote Sens. 7(1), 071598 (2013), http://dx.doi.org/10.1117/1.JRS.7 .071598.
7. R. Guida, A. Iodice, and D. Riccio, "Assessment of TerraSAR-X products with a new feature extraction application: monitoring of cylindrical tanks," IEEE Trans. Geosci. Remote Sens. 48(2), 930-938 (2010), http://dx.doi.org/10.1109/TGRS.2009.2029233.
8. Y. Zhang et al., "A new algorithm for analyzing the SAR image of the cylindrical oil tank," J. Radars 1(2), 190-195 (2012).
9. M. Eineder, "Problems and solutions for InSAR digital elevation model generation of mountainous terrain," in Proc. FRINGE 2003 Workshop, Italy (2003).
10. D. B. André, R. D. Hill, and C. P. Moate, "Multipath simulation and removal from SAR Imagery," Proc. SPIE 6970, 69700M (2008), http://dx.doi.org/10.1117/12.776887.
11. E. F. Knott, J. F. Shaeffer, and M. T. Tuley, Radar Cross Section, 2nd ed., SciTech, Raleigh, North Carolina (2004).
12. Y. Zhang et al., "Research on characteristics of cylinder tanks in SAR image," in 2011 IEEE CIE Int. Conf. Radar (Radar), pp. 658-661, Chengdu (2011).
13. J. Lee, "Digital image enhancement and noise filtering by using local statistics," Trans. Pattern Anal. Mach. Intell. PAM1-2(2), 165-168 (1980), http://dx.doi.org/10.1109/TPAMI.1980.4766994. (Pubitemid 10484994)
14. A. Lopes, R. Touzi, and E. Nezry, "Adaptive speckle filters and scene heterogeneity," IEEE Trans. Geosci. Remote Sens. 28(6), 992-1000 (1990), http://dx.doi.org/10.1109/36.62623.
15. Y. Yu and S. T. Acton, "Speckle reducing anisotropic diffusion," IEEE Trans. Image Process. 11(11), 1260-1270 (2002), http://dx.doi.org/10.1109/TIP.2002.804276.