Carlos Bentes
Carlos Bentes
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Titolo
Citata da
Citata da
Anno
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
712018
Ship-Iceberg Discrimination with Convolutional Neural Networks in High Resolution SAR Images
C Bentes, A Frost, D Velotto, B Tings
EUSAR 2016, 2016
502016
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
492016
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
432015
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
202016
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
152012
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
132015
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
122019
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
122014
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
42016
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
22017
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
22016
Ship detection on wide scanSAR TerraSAR-X images
C Bentes, B Tings, S Lehner
EUSAR 2014; 10th European Conference on Synthetic Aperture Radar†…, 2014
22014
Ship Detection on Wide ScanSAR TerraSAR-X Images
C Bentes, B Tings, S Lehner
EUSAR 2014; 10th European Conference on Synthetic Aperture Radar†…, 2014
22014
Automatic Playlist Continuation through a Composition of Collaborative Filters
I Teinemaa, N Tax, C Bentes
arXiv preprint arXiv:1808.04288, 2018
12018
Machine learning approaches to classify maritime objects from space radar
D Velotto, B Tings, CA Bentes da Silva, A Frost, J Imber
12018
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
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