Name
Abstract | ||
|---|---|---|
In this paper, we propose and compare two supervised algorithms for the segmentation of textured sonar images, with respect to seafloor types. We characterize seafloors by a set of empirical distributions estimated on texture responses to a set of different filters. Moreover, we introduce a novel similarity measure between sonar textures in this feature space. Our similarity measure is defined as ... |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TGRS.2008.2006362 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Statistics,Sonar measurements,Sea floor,Image segmentation,Filters,Prototypes,Statistical distributions,Extraterrestrial measurements,Bayesian methods,Minimization methods | Similarity measure,Feature selection,Level set,Sonar,Image segmentation,Artificial intelligence,Computer vision,Feature vector,Pattern recognition,Image texture,Statistics,Sonar signal processing,Mathematics | Journal |
Volume | Issue | ISSN |
47 | 6 | 0196-2892 |
Citations | PageRank | References |
5 | 0.53 | 14 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Imen Karoui | 1 | 23 | 2.06 |
| Ronan Fablet | 2 | 312 | 47.04 |
| Jean-Marc Boucher | 3 | 132 | 22.28 |
| Jean-Marc Boucher | 4 | 132 | 22.28 |
| Jean-Marie Augustin | 5 | 42 | 4.20 |
| Jean-Marie Augustin | 6 | 42 | 4.20 |