Ship Classification in TerraSAR-X Images With Convolutional Neural Networks C Bentes, D Velotto, B Tings IEEE Journal of Oceanic Engineering 43 (1), 258-266, 2018 | 182 | 2018 |
First Comparison of Sentinel-1 and TerraSAR-X data in the framework of maritime targets detection: South Italy case D Velotto, C Bentes, B Tings, S Lehner IEEE Journal of Oceanic Engineering, 2016 | 86 | 2016 |
Ship-Iceberg Discrimination with Convolutional Neural Networks in High Resolution SAR Images C Bentes, A Frost, D Velotto, B Tings EUSAR 2016, 2016 | 79 | 2016 |
Target Classification in Oceanographic SAR Images with Deep Neural Networks: Architecture and Initial Results C Bentes, D Velotto, S Lehner Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International …, 2015 | 64 | 2015 |
Dynamically adapted ship parameter estimation using TerraSAR-X images B Tings, CA Bentes da Silva, S Lehner International Journal of Remote Sensing 37 (9), 1990-2015, 2016 | 37 | 2016 |
Modelling ship detectability depending on TerraSAR-X-derived metocean parameters B Tings, C Bentes, D Velotto, S Voinov CEAS Space Journal 11 (1), 81-94, 2019 | 35 | 2019 |
Dynamic swarm formation with potential fields and A* path planning in 3D environment C Bentes, O Saotome 2012 Brazilian Robotics Symposium and Latin American Robotics Symposium, 74-78, 2012 | 22 | 2012 |
Comparison of Sentinel-1 and TerraSAR-X for ship detection D Velotto, C Bentes, B Tings, S Lehner 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 20 | 2015 |
Analysis of ship size detectability over different TerraSAR-X modes C Bentes, D Velotto, S Lehner Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International …, 2014 | 17 | 2014 |
Ship classification in high and very high resolution satellite SAR imagery V Fernandez Arguedas, D Velotto, B Tings, H Greidanus, ... Security Research Conference, 11th Future Security, Berlin, September 13-14 …, 2016 | 7 | 2016 |
Automatic Playlist Continuation through a Composition of Collaborative Filters I Teinemaa, N Tax, C Bentes arXiv preprint arXiv:1808.04288, 2018 | 3 | 2018 |
Comparison of ship detectability between TerraSAR-X and Sentinel-1 D Velotto, B Tings, C Bentes 2017 IEEE 3rd International Forum on Research and Technologies for Society …, 2017 | 3 | 2017 |
Investigation of the experimental TanDEM-X pursuit monostatic mode for oil and ship detection D Velotto, F Nunziata, C Bentes, M Migliaccio, S Lehner 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 3 | 2016 |
Ship detection on wide scanSAR TerraSAR-X images C Bentes, B Tings, S Lehner EUSAR 2014; 10th European Conference on Synthetic Aperture Radar …, 2014 | 3 | 2014 |
Ship Detection on Wide ScanSAR TerraSAR-X Images C Bentes, B Tings, S Lehner EUSAR 2014; 10th European Conference on Synthetic Aperture Radar …, 2014 | 3 | 2014 |
Machine learning approaches to classify maritime objects from space radar D Velotto, B Tings, CA Bentes da Silva, A Frost, J Imber | 1 | 2018 |
Supporting National Maritime Safety and Security Using Multiple SAR Sensors B Tings, D Velotto, CA Bentes da Silva, A Pleskachevsky, S Jacobsen | | 2016 |
NRT Vessel detectability on TerraSAR-X and Sentinel-1dy B Tings, CA Bentes da Silva, A Frost, D Velotto, S Voinov, S Wiehle | | 2016 |
Classification of maritime objects in TerraSAR-X imagery D Velotto, B Tings, CA Bentes da Silva | | 2016 |
Oil field observation exploiting TanDEM-X pursuit monostatic acquisitions D Velotto, F Nunziata, CA Bentes da Silva, M Migliaccio, S Lehner | | 2015 |