Abstract | ||
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Sonar imaging has seen vast improvements over the last few decades due in part to advances in synthetic aperture sonar. Sophisticated classification techniques can now be used in sonar automatic target recognition (ATR) to locate mines and other threatening objects. Among the most promising of these methods is sparse reconstruction-based classification (SRC), which has shown an impressive resilien... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TGRS.2017.2710040 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Robustness,Synthetic aperture sonar,Training,Bayes methods,Image reconstruction,Feature extraction | Journal | 55 |
Issue | ISSN | Citations |
10 | 0196-2892 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
john mckay | 1 | 2 | 1.73 |
Vishal Monga | 2 | 679 | 57.73 |
Raghu G. Raj | 3 | 44 | 9.40 |