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2009
IEEE

IceSynth: An Image Synthesis System for Sea-Ice Segmentation Evaluation

10 years 6 months ago
IceSynth: An Image Synthesis System for Sea-Ice Segmentation Evaluation
An ongoing challenge in automatic sea-ice monitoring using synthetic aperture radar (SAR) is the automatic segmentation of SAR sea-ice images based on the underlying ice type. Given the intractability of obtaining ground-truth segmentation data from polar regions, the evaluation of automatic SAR sea-ice image segmentation algorithms is generally limited to tests using real SAR imagery based on pseudo-ground truth data (e.g., manual segmentations) and simple synthetic tests using basic shape primitives. As such, it is difficult to evaluate automatic segmentation algorithms in a systematic and reliable manner using realistic scenarios. To tackle this issue, a novel image synthesis system named IceSynth is presented, which is capable of generating a variety of synthetic sea-ice images that are representative of real SAR sea-ice imagery. In IceSynth, SAR seaice textures for each ice type are synthesized via stochastic sampling based on non-parametric local conditional texture probability...
Alexander Wong, Wen Zhang, David A. Clausi
Added 20 May 2010
Updated 20 May 2010
Type Conference
Year 2009
Where CRV
Authors Alexander Wong, Wen Zhang, David A. Clausi
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