Jefersson A. dos Santos
Jefersson A. dos Santos
Computing Science and Mathematics, University of Stirling, Scotland, UK
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Zitiert von
Zitiert von
Towards better exploiting convolutional neural networks for remote sensing scene classification
K Nogueira, OAB Penatti, JA Dos Santos
Pattern Recognition 61, 539-556, 2017
Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?
OAB Penatti, K Nogueira, JA Dos Santos
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Skelemotion: A new representation of skeleton joint sequences based on motion information for 3d action recognition
C Caetano, J Sena, F Brémond, JA Dos Santos, WR Schwartz
2019 16th IEEE international conference on advanced video and signal based …, 2019
Evaluating the potential of texture and color descriptors for remote sensing image retrieval and classification
JA dos Santos, OAB Penatti, RS Torres
VISAPP 2010, 203-208, 2010
Relevance feedback based on genetic programming for image retrieval
CD Ferreira, JA Santos, R da S Torres, MA Gonçalves, RC Rezende, ...
Pattern Recognition Letters 32 (1), 27-37, 2011
Multiscale classification of remote sensing images
JA Dos Santos, PH Gosselin, S Philipp-Foliguet, R da S Torres, AX Falcao
Geoscience and Remote Sensing, IEEE Transactions on 50 (10), 3764 - 3775, 2012
Dynamic multicontext segmentation of remote sensing images based on convolutional networks
K Nogueira, M Dalla Mura, J Chanussot, WR Schwartz, JA Dos Santos
IEEE Transactions on Geoscience and Remote Sensing 57 (10), 7503-7520, 2019
Introducing digital cameras to monitor plant phenology in the tropics: applications for conservation
B Alberton, RS Torres, LF Cancian, BD Borges, J Almeida, GC Mariano, ...
Perspectives in Ecology and Conservation 15 (2), 82-90, 2017
A relevance feedback method based on genetic programming for classification of remote sensing images
JA Dos Santos, CD Ferreira, RS Torres, MA Gonçalves, RAC Lamparelli
Information Sciences 181 (13), 2671-2684, 2011
Behavior knowledge space-based fusion for copy–move forgery detection
A Ferreira, SC Felipussi, C Alfaro, P Fonseca, JE Vargas-Munoz, ...
IEEE Transactions on Image Processing 25 (10), 4729-4742, 2016
Nature-inspired framework for hyperspectral band selection
RYM Nakamura, LMG Fonseca, JA Dos Santos, RS Torres, XS Yang, ...
IEEE Transactions on Geoscience and Remote Sensing 52 (4), 2126-2137, 2013
Improving Spatial Feature Representation from Aerial Scenes by Using Convolutional Networks
K Nogueira, WO Miranda, JA dos Santos
SIBGRAPI 2015 – Conference on Graphics, Patterns and Images, Salvador …, 2015
Laser printer attribution: Exploring new features and beyond
A Ferreira, LC Navarro, G Pinheiro, JA dos Santos, A Rocha
Forensic science international 247, 105-125, 2015
A framework for selection and fusion of pattern classifiers in multimedia recognition
FA Faria, JA Dos Santos, A Rocha, RS Torres
Pattern Recognition Letters 39, 52-64, 2014
Automatic classifier fusion for produce recognition
FA Faria, JA dos Santos, A Rocha, RS Torres
2012 25th SIBGRAPI Conference on Graphics, Patterns and Images, 252-259, 2012
Data-driven feature characterization techniques for laser printer attribution
A Ferreira, L Bondi, L Baroffio, P Bestagini, J Huang, JA Dos Santos, ...
IEEE Transactions on Information Forensics and Security 12 (8), 1860-1873, 2017
Interactive multiscale classification of high-resolution remote sensing images
JA dos Santos, PH Gosselin, S Philipp-Foliguet, RS Torres, AX Falcao
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013
Exploiting convnet diversity for flooding identification
K Nogueira, SG Fadel, ÍC Dourado, RO Werneck, JAV Muñoz, ...
IEEE Geoscience and Remote Sensing Letters 15 (9), 1446-1450, 2018
Applying machine learning based on multiscale classifiers to detect remote phenology patterns in cerrado savanna trees
J Almeida, JA dos Santos, B Alberton, RS Torres, LPC Morellato
Ecological Informatics 23, 49-61, 2014
Incorporating multiple distance spaces in optimum-path forest classification to improve feedback-based learning
AT da Silva, JA dos Santos, AX Falcão, RS Torres, LP Magalhães
Computer Vision and Image Understanding 116 (4), 510-523, 2012
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