| Schwegmann, CP and Kleynhans, W and Salmon, BP and Mdakane, LW and Meyer, RGV, “Very deep learning for ship discrimination in Synthetic Aperture Radar imagery”, Proceedings of 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 10-15 July 2016, Beijing, China, pp. 104-107. ISBN 978-1-5090-3333-1 (2016) [Non Refereed Conference Paper] |
| Data Type | Value |
|---|
| Type of Research | Applied Research |
| Research Division | Engineering |
| Research Group | Communications engineering |
| Research Field | Signal processing |
| Research Objective Division | Expanding Knowledge |
| Research Objective Group | Expanding knowledge |
| Research Objective Field | Expanding knowledge in engineering |
| Visit Item on eCite | http://ecite.utas.edu.au/117096 |
| Digital Object Identifier | doi:10.1109/IGARSS.2016.7729017 |
| Scopus Source URL | View the full record on Scopus |
| Scopus Citing URL | View the list of citing articles on Scopus |
| Web of Science® Source URL | View the full record on Web of Science® |
| Web of Science® Citing URL | View the list of citing articles on Web of Science® |
| Web of Science® Related URL | View the list of related articles on Web of Science® |
| Number of Times Cited | 73 |
