IceSynth II: Synthesis of SAR sea-ice imagery using region-based posterior sampling

IEEE Geoscience and Remote Sensing Letters

Volumn 7, Issue 2, 2010, Pages 348-351

  Wong, Alexander ^a   Yu, Peter ^a   Zhang, Wen ^a   Clausi, David A ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Conditional; Markov random field (MRF); Multivariate region growing; Posterior sampling; Sea ice; Synthesis; Synthetic aperture radar (SAR)

Indexed keywords

MARKOV RANDOM FIELD; MARKOV RANDOM FIELD (MRF); MULTIVARIATE REGION GROWING; POSTERIOR SAMPLING; REGION GROWING;

IMAGE CLASSIFICATION; IMAGE SEGMENTATION; IMAGING SYSTEMS; OCEANOGRAPHY; POLARIZATION; PROBABILITY DISTRIBUTIONS; RADAR; SEA ICE; STRUCTURAL FRAMES; SYNTHESIS (CHEMICAL); SYNTHETIC APERTURES;

SYNTHETIC APERTURE RADAR;

EID: 77951207837     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2009.2035136     Document Type: Article

References (15)

1. D. Flett, M. Manore, B. Ramsay, and J. Falkingham, "Preparing for operational use of RADARSAT-2 data at the Canadian Ice Service," in Proc. IEEE Int. Geosci. Remote Sens. Symp., 2001, vol.1, pp. 493-495.
2. R. Samadani, "A finite mixture algorithm for finding proportions in SAR images," IEEE Trans. Image Process., vol.4, no.8, pp. 1182-1186, Aug. 1995.
3. Q. Remund, D. Long, and M. Drinkwater, "Polar sea-ice classification using enhanced resolution NSCAT data," in Proc. IEEE Int. Geosci. Remote Sens. Symp., 1998, vol.4, pp. 1976-1978.
4. J. Karvonen, "Baltic sea ice SAR segmentation and classification using modified pulse-coupled neural networks," IEEE Trans. Geosci. Remote Sens., vol.42, no.7, pp. 1566-1574, Jul. 2004.
5. L. Soh, C. Tsatsoulis, D. Gineris, and C. Bertoia, "ARKTOS: An intelligent system for SAR sea ice image classification," IEEE Trans. Geosci. Remote Sens., vol.42, no.1, pp. 229-248, Jan. 2004.
6. Q. Yu and D. A. Clausi, "SAR sea-ice image analysis based on iterative region growing using semantics," IEEE Trans. Geosci. Remote Sens., vol.45, no.12, pp. 3919-3931, Dec. 2007.
7. D. Blacknell, A. Blake, P. Lombardo, and C. Oliver, "A comparison of simulation techniques for correlated gamma and K-distributed images for SAR applications," in Proc. IEEE IGARSS, 1994, vol.4, pp. 2182-2184.
8. D. Blacknell, "A new method for the simulation of K-distribution clutter," Proc. Inst. Elect. Eng.-Radar Sonar Navig., vol.141, no.1, pp. 53-58, Feb. 1994.
9. H. Cantalloube, "Texture synthesis for SAR image simulation," Proc. SPIE, vol.3497, pp. 242-250, 1998.
10. Y. Wu, C. Wang, H. Zhang, X. Wen, and B. Zhang, "Statistical analysis and simulation of high-resolution SAR ground clutter data," in Proc. IEEE Int. Geosci. Remote Sens. Symp., 2008, vol.4, pp. 2182-2184.
11. A. Wong, W. Zhang, D. A. Clausi, and P. Fieguth, "IceSynth: An image synthesis system for sea-ice segmentation evaluation," in Proc. Can. Conf. CRV, Kelowna, BC, Canada, May 25-27, 2009, pp. 178-183.
12. C. Oliver and S. Quegan, Understanding Synthetic Aperture Radar Images. Norwood, MA: Artech House, 1998.
13. M. Vandewal, R. Speck, and H. Süß, "Efficient SAR raw data generation including low squint angles and platform instabilities," IEEE Geosci. Remote Sens. Lett., vol.5, no.1, pp. 26-30, Jan. 2008.
14. S. Z. Li, Markov Random Field Modeling in Image Analysis. NewYork: Springer-Verlag, 2001.
15. D. A. Clausi, A. K. Qin, M. S. Chowdhury, P. Yu, and P. Malliard, "MAGIC: MAp-guided ice classification system," Can. J. Remote Sens., Apr. 2009, to be published.