Unified Anomaly Suppression and Boundary Extraction in Laser Radar Range Imagery based on a Joint Curve-Evolution and Expectation-Maximization Algorithm

Abstract

In this paper, we develop a new unified approach for laser radar range anomaly suppression, range profiling, and segmentation. This approach combines an object-based hybrid scene model for representing the range distribution of the field and a statistical mixture model for the range data measurement noise. The image segmentation problem is formulated as a… (More)
DOI: 10.1109/TIP.2008.919363

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Cite this paper

@article{Feng2008UnifiedAS, title={Unified Anomaly Suppression and Boundary Extraction in Laser Radar Range Imagery based on a Joint Curve-Evolution and Expectation-Maximization Algorithm}, author={Haihua Feng and W. Clem Karl and David A. Casta{\~n}{\'o}n}, journal={IEEE Transactions on Image Processing}, year={2008}, volume={17}, pages={757-766} }