Title :
IceSynth II: Synthesis of SAR Sea-Ice Imagery Using Region-Based Posterior Sampling
Author :
Wong, Alexander ; Yu, Peter ; Zhang, Wen ; Clausi, David A.
Author_Institution :
Dept. of Syst. Design Eng., Univ. of Waterloo, Waterloo, ON, Canada
fDate :
4/1/2010 12:00:00 AM
Abstract :
A novel method for synthesizing synthetic aperture radar (SAR) sea-ice imagery named IceSynth II is presented. A Markov random field model is assumed, and a conditional sampling approach is used to learn local conditional posterior probability distributions on a regional basis. Synthetic SAR sea-ice images and the associated ground-truth segmentations are generated using a region-based posterior sampling approach. Experimental results using single-polarization RADARSAT-1 and dual-polarization RADARSAT-2 SAR sea-ice imagery provided by the Canadian Ice Service show that IceSynth II is capable of producing SAR sea-ice imagery that is more realistic than existing approaches. The synthesized images are well suited for performing systematic and reliable objective evaluation of SAR sea-ice image segmentation methods.
Keywords :
Markov processes; geophysical image processing; image segmentation; oceanographic techniques; remote sensing by radar; sea ice; synthetic aperture radar; IceSynth II; Markov random field model; SAR sea-ice image segmentation methods; SAR sea-ice imagery synthesis; dual-polarization RADARSAT-2 SAR sea-ice imagery; local conditional posterior probability distributions; single-polarization RADARSAT-1 SAR sea-ice imagery; synthetic aperture radar sea-ice imagery synthesis; Conditional; Markov random field (MRF); multivariate region growing; posterior sampling; sea ice; synthesis; synthetic aperture radar (SAR);
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2009.2035136
