Abstract
In this paper, we extend the Chan-Vese model for image segmentation in [1] to hyperspectral image segmentation with shape and signal priors. The use of the Split Bregman algorithm makes our method very efficient compared to other existing segmentation methods incorporating priors. We demonstrate our results on aerial hyperspectral images. © 2010 Springer-Verlag.
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CITATION STYLE
Ye, J., Wittman, T., Bresson, X., & Osher, S. (2010). Segmentation for hyperspectral images with priors. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6454 LNCS, pp. 97–106). https://doi.org/10.1007/978-3-642-17274-8_10
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