Abstract | ||
---|---|---|
In this paper, we address seabed characterization and recognition in sonar images using keypoint-based approaches. Keypoint-based texture recognition has recently emerged as a powerful framework to address invariances to contrast change and geometric distortions. We investigate here to which extent keypoint-based techniques are relevant for sonar texture analysis which also involves such invarianc... |
Year | DOI | Venue |
---|---|---|
2012 | 10.1109/TGRS.2011.2165848 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Detectors,Visualization,Sonar detection,Backscatter,Image recognition | Spatial analysis,Data set,Remote sensing,Sonar,Artificial intelligence,Contextual image classification,Computer vision,Pattern recognition,Visualization,Image texture,Feature extraction,Mathematics,Difference of Gaussians | Journal |
Volume | Issue | ISSN |
50 | 4 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Huu-Giao Nguyen | 1 | 21 | 3.14 |
Ronan Fablet | 2 | 312 | 47.04 |
Axel Ehrhold | 3 | 0 | 0.34 |
Jean-Marc Boucher | 4 | 132 | 22.28 |