Lourenço Bandeira

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Pedro PinaDepartment of Earth Sciences + Institute of Astrophysics and Space Sciences, University of CoimbraDirección de correo verificada de dct.uc.pt
Jorge S. MarquesInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ. LisboaDirección de correo verificada de isr.tecnico.ulisboa.pt
Gonçalo VieiraAssociate Professor, IGOT - University of LisbonDirección de correo verificada de campus.ul.pt
Tomasz StepinskiProfessor of Space Exploration, University of CincinnatiDirección de correo verificada de uc.edu
Wei DingProfessor of Computer Science, University of Massachusetts Boston; Program Director, NSFDirección de correo verificada de umb.edu
Teresa BarataInstituto de Astrofísica e Ciências do Espaço, Universidade de CoimbraDirección de correo verificada de dct.uc.pt
Carla MoraInvestigadora do Centro de Estudos Geográficos da Universidade de LisboaDirección de correo verificada de campus.ul.pt
Goran SalamunićcarIvana Zajca 8, 47000 KarlovacDirección de correo verificada de ieee.org
Maura LousadaPh.D. Earth Resources - CERENA, Instituto Superior Técnico, Universidade de LisboaDirección de correo verificada de ist.utl.pt
Sven LoncaricProfessor, Faculty of Electrical Engineering and Computing, University of Zagreb, CroatiaDirección de correo verificada de fer.hr
Nuno BenaventeResearcher at CERENA, Instituto Superior Tecnico, Universidade Tecnica de LisboaDirección de correo verificada de ist.utl.pt
Cristina Ponte LiraIDL - Intituto Dom Luiz / FCUL - FCTDirección de correo verificada de fc.ul.pt
Joao Miguel C. SousaIDMEC, Instituto Superior Técnico, Universidade de Lisboa, PortugalDirección de correo verificada de tecnico.ulisboa.pt
Marc OlivaDepartment of Geography, University of BarcelonaDirección de correo verificada de ub.edu
Robert CraddockSmithsonian InstitutionDirección de correo verificada de si.edu
Marlene MachadoDirección de correo verificada de sapo.pt
Trent M. HareGIS ManagerDirección de correo verificada de usgs.gov
E. Ivo AlvesProfessor of Geophysics, Coimbra UniversityDirección de correo verificada de ci.uc.pt

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Lourenço Bandeira

Data Scientist, Schreder Hyperion

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Data Science Artificial Intelligence and Machine Learning Pattern Recognition Image Analysis and Processing Deep Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Impact crater recognition on Mars based on a probability volume created by template matching L Bandeira, J Saraiva, P Pina IEEE Transactions on Geoscience and Remote Sensing 45 (12), 4008-4015, 2007	126	2007
Subkilometer crater discovery with boosting and transfer learning W Ding, TF Stepinski, Y Mu, L Bandeira, R Ricardo, Y Wu, Z Lu, T Cao, ... ACM Transactions on Intelligent Systems and Technology (TIST) 2 (4), 1-22, 2011	87	2011
Detection of sub-kilometer craters in high resolution planetary images using shape and texture features L Bandeira, W Ding, TF Stepinski Advances in Space Research 49 (1), 64-74, 2012	85	2012
MA130301GT catalogue of Martian impact craters and advanced evaluation of crater detection algorithms using diverse topography and image datasets G Salamunićcar, S Lončarić, P Pina, L Bandeira, J Saraiva Planetary and Space Science 59 (1), 111-131, 2011	64	2011
Development of a methodology for automated crater detection on planetary images LPC Bandeira, J Saraiva, P Pina Lecture Notes in Computer Science 4477, 193-200, 2007	41	2007
Automated detection of Martian dune fields L Bandeira, JS Marques, J Saraiva, P Pina IEEE Geoscience and Remote Sensing Letters 8 (4), 626-630, 2011	40	2011
Polygonal terrains on Mars: A contribution to their geometric and topological characterization P Pina, J Saraiva, L Bandeira, J Antunes Planetary and Space Science 56 (15), 1919-1924, 2008	40	2008
Evaluation of the use of very high resolution aerial imagery for accurate ice-wedge polygon mapping (Adventdalen, Svalbard) M Lousada, P Pina, G Vieira, L Bandeira, C Mora Science of the Total Environment 615, 1574-1583, 2018	33	2018
Integrated method for crater detection from topography and optical images and the new PH9224GT catalogue of Phobos impact craters G Salamunićcar, S Lončarić, P Pina, L Bandeira, J Saraiva Advances in Space Research 53 (12), 1798-1809, 2014	32	2014
Automatic detection of sub-km craters using shape and texture information L Bandeira, W Ding, TF Stepinski 41st Annual Lunar and Planetary Science Conference, 1144, 2010	29	2010
Automatic detection of craters in planetary images: An embedded framework using feature selection and boosting W Ding, TF Stepinski, L Bandeira, R Vilalta, Y Wu, Z Lu, T Cao Proceedings of the 19th ACM international conference on Information and …, 2010	27	2010
Polygonal networks on the surface of Mars; applicability of Lewis, Desch and Aboav–Weaire laws J Saraiva, P Pina, L Bandeira, J Antunes Philosophical Magazine Letters 89 (3), 185-193, 2009	24	2009
Identification of Martian polygonal patterns using the dynamics of watershed contours P Pina, J Saraiva, L Bandeira, T Barata Image Analysis and Recognition: Third International Conference, ICIAR 2006 …, 2006	23	2006
Accurate determination of surface reference data in digital photographs in ice-free surfaces of Maritime Antarctica P Pina, G Vieira, L Bandeira, C Mora Science of The Total Environment 573, 290–302, 2016	16	2016
Detection of sand dunes on Mars using a regular vine-based classification approach D Carrera, L Bandeira, R Santana, JA Lozano Knowledge-Based Systems 163, 858-874, 2019	14	2019
Advances in automated detection of sand dunes on Mars L Bandeira, JS Marques, J Saraiva, P Pina Earth Surface Processes and Landforms 38 (3), 275-283, 2013	14	2013
A multi-layer approach for the analysis of neighbourhood relations of polygons in remotely acquired images L Bandeira, P Pina, J Saraiva Pattern recognition letters 31 (10), 1175-1183, 2010	14	2010
Automatic crater detection in large scale on lunar maria M Machado, L Bandeira, P Pina 46th Annual Lunar and Planetary Science Conference, 1797, 2015	10	2015
A structured approach to automated crater detection J Saraiva, LPC Bandeira, P Pina 37th Annual Lunar and Planetary Science Conference, 1142, 2006	10	2006
Combining Fuzzy Clustering and Morphological Methods for Old Documents Recovery. JRC Pinto, LPC Bandeira, JM da Costa Sousa, P Pina IbPRIA (2), 387-394, 2005	10	2005

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