Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4972834 | ISPRS Journal of Photogrammetry and Remote Sensing | 2017 | 17 Pages |
Abstract
To demonstrate the performance of our approach, we present classification results derived for standard benchmark datasets. We demonstrate that the structured regularization framework offers higher accuracy at a lighter computational cost in comparison to the classic graphical model approach.
Keywords
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Physical Sciences and Engineering
Computer Science
Information Systems
Authors
Loïc Landrieu, Hugo Raguet, Bruno Vallet, Clément Mallet, Martin Weinmann,