I'm a Professor in Computer Science at Universidade Federal de Minas Gerais (UFMG) currently working on machine learning and computer vision applications for remote sensing and multimedia data. My research focuses particularly on developing novel deep learning approaches for tasks like semantic segmentation, object detection, and pattern recognition in aerial/satellite imagery.
Throughout my career, I have published extensively in top venues like IEEE Transactions on Geoscience and Remote Sensing and IEEE Geoscience and Remote Sensing Letters. My recent work has explored data-centric machine learning approaches for Earth observation, moving beyond just model improvements to better understand how we can leverage and improve the data itself. I've also worked on applications ranging from vegetation monitoring to flooding identification using deep neural networks.
I collaborate actively with researchers across multiple institutions and have helped advance the field through contributions in areas like convolutional neural networks for remote sensing, multi-context segmentation approaches, and the development of novel feature extraction techniques. My group's work aims to bridge the gap between theoretical machine learning advances and practical applications in environmental monitoring, disaster response, and other domains that can benefit from automated analysis of remote sensing imagery.
Publications
Better, Not Just More: Data-centric machine learning for Earth observation
R. Roscher, M. Russwurm, Caroline Gevaert, Michael Kampffmeyer, J. A. dos Santos, Maria Vakalopoulou, R. Hänsch, Stine Hansen, Keiller Nogueira, Jonathan Prexl, D. Tuia
IEEE Geoscience and Remote Sensing Magazine 2023
Integrating remote sensing and machine learning to detect turbidity anomalies in hydroelectric reservoirs.
Anderson P Souza, B. A. Oliveira, M. L. Andrade, M. C. Starling, Alexandre H Pereira, P. Maillard, Keiller Nogueira, J. A. dos Santos, C. C. Amorim
Science of the Total Environment 2023
Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control
Higor Souza Cunha, Brenda Santana Sclauser, P. Wildemberg, E. Fernandes, J. A. dos Santos, Mariana de Oliveira Lage, C. Lorenz, G. Barbosa, J. A. Quintanilha, F. Chiaravalloti-Neto
PLoS ONE 2021
A genetic algorithm approach for image representation learning through color quantization
Érico Marco D. A. Pereira, R. Torres, J. A. dos Santos
Multimedia tools and applications 2021
Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery
L. Osco, Keiller Nogueira, Ana Paula Marques Ramos, Mayara Maezano Faita Pinheiro, Danielle Elis Garcia Furuya, W. Gonçalves, Lucio André de Castro Jorge, José Marcato Junior, J. A. dos Santos
Precision Agriculture 2021
IEEE GRSS Brazil Chapter: Status and Activities in 2019 [Chapters]
V. Liesenberg, J. Marcato, R. Feitosa, A. Gomes, J. A. dos Santos, R. L. Paes, E. Mitishita, A. Tommaselli, Fatima N. Sombra de Sombra, A. Frery
From video pornography to cancer cells: a tensor framework for spatiotemporal description
V. F. Mota, Hugo N. de Oliveira, Sérgio Scalzo, Dalton Dittz, Reginaldo J. Santos, J. A. dos Santos, A. Araújo
Multimedia tools and applications 2020
Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks
Keiller Nogueira, J. A. dos Santos, Nathalia Menini, Thiago S. F. Silva, L. Morellato, R. Torres
IEEE Geoscience and Remote Sensing Letters 2019
A Soft Computing Framework for Image Classification Based on Recurrence Plots
Nathalia Menini, Alexandre E. Almeida, R. Lamparelli, Guerric le Maire, J. A. dos Santos, H. Pedrini, M. Hirota, R. Torres
IEEE Geoscience and Remote Sensing Letters 2019
On the ensemble of multiscale object-based classifiers for aerial images: a comparative study
Agnaldo Aparecido Esmael, J. A. dos Santos, Ricardo da Silva Torres
Multimedia tools and applications 2018
Dynamic Multicontext Segmentation of Remote Sensing Images Based on Convolutional Networks
Keiller Nogueira, M. Dalla Mura, J. Chanussot, W. R. Schwartz, J. A. dos Santos
IEEE Transactions on Geoscience and Remote Sensing 2018
Exploiting ConvNet Diversity for Flooding Identification
Keiller Nogueira, Samuel G. Fadel, Í. C. Dourado, Rafael de O. Werneck, Javier A. V. Muñoz, O. A. B. Penatti, R. Calumby, Lin Tzy Li, J. A. dos Santos, R. Torres
IEEE Geoscience and Remote Sensing Letters 2017
Data-Driven Feature Characterization Techniques for Laser Printer Attribution
Anselmo Ferreira, L. Bondi, L. Baroffio, Paolo Bestagini, Jiwu Huang, J. A. dos Santos, S. Tubaro, A. Rocha
IEEE Transactions on Information Forensics and Security 2017
Towards vegetation species discrimination by using data-driven descriptors
Keiller Nogueira, J. A. dos Santos, Tamires Fornazari, Thiago Sanna Freire Silva, L. Morellato, R. D. S. Torres
2016 9th IAPR Workshop on Pattern Recogniton in Remote Sensing (PRRS) 2016
Laser printer attribution: exploring new features and beyond.
Anselmo Castelo Branco Ferreira, L. C. Navarro, Giuliano Pinheiro, J. A. dos Santos, A. Rocha
Forensic Science International 2015
A Systematic Review on Open-Set Semantic Segmentation
I. Nunes, Camila Laranjeira, H. Oliveira, J. A. dos Santos
Social Science Research Network 2023
