A method for sea-ice segmentation of SAR imagery is proposed in this paper. It is based on the multi-location descriptor extraction in salient image points, which indicate image locations with temporal change, high intensity contrast, regional homogeneity and shape saliency. A novel spatiotemporal operator is used to extract the feature points, which advantageously integrates temporal change with spatial saliency. The final segmentation by scale-adaptive region growing provides borders of sea ice regions. Preliminary experimental results confirmed the reliability of the proposed segmentation method and have shown its high potential for SAR image analysis.
Sea ice segmentation of SAR imagery using multi-temporal and multi-scale feature extraction
2011-09-01
364752 byte
Conference paper
Electronic Resource
English
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