Gilson Alexandre Ostwald Pedro da Costa

Orcid: 0000-0001-7341-9118

Affiliations:
  • Pontifical Catholic University of Rio de Janeiro, Brazil


According to our database1, Gilson Alexandre Ostwald Pedro da Costa authored at least 26 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Weakly Supervised Domain Adversarial Neural Network for Deforestation Detection in Tropical Forests.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

2022
A Distributed N-FINDR Cloud Computing-Based Solution for Endmembers Extraction on Large-Scale Hyperspectral Remote Sensing Data.
Remote. Sens., 2022

Deforestation Detection in the Amazon Using DeepLabv3+ Semantic Segmentation Model Variants.
Remote. Sens., 2022

Domain-Adversarial Neural Networks for Deforestation Detection in Tropical Forests.
IEEE Geosci. Remote. Sens. Lett., 2022

2020
A Meta-Methodology for Improving Land Cover and Land Use Classification with SAR Imagery.
Remote. Sens., 2020

Symbiotic Trackers' Ensemble with Trackers' Re-initialization for Face Tracking.
Proceedings of the Information Management and Big Data, 2020

2019
Combining Deep Learning and Prior Knowledge for Crop Mapping in Tropical Regions from Multitemporal SAR Image Sequences.
Remote. Sens., 2019

2017
A New Cloud Computing Architecture for the Classification of Remote Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

A Set of Methods to Support Object-Based Distributed Analysis of Large Volumes of Earth Observation Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Exploiting Different Types of Parallelism in Distributed Analysis of Remote Sensing Data.
IEEE Geosci. Remote. Sens. Lett., 2017

Symbiotic Tracker Ensemble with Feedback Learning.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

2016
A Cloud Computing Strategy for Region-Growing Segmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Metaheuristics for Supervised Parameter Tuning of Multiresolution Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2016

2015
Towards distributed region growing image segmentation based on MapReduce.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

On the architecture of a big data classification tool based on a map reduce approach for hyperspectral image analysis.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

SPT 3.1: A free software for automatic tuning of segmentation parameters in optical, hyperspectral and SAR images.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Segmentation as postprocessing for hyperspectral image classification.
Proceedings of the IEEE EUROCON 2015, 2015

2014
Urban Area Extent Extraction in Spaceborne HR and VHR Data Using Multi-Resolution Features.
Sensors, 2014

2013
Assessment of Binary Coding Techniques for Texture Characterization in Remote Sensing Imagery.
IEEE Geosci. Remote. Sens. Lett., 2013

Estimating Class Dynamics for Fuzzy Markov Chain-Based Multitemporal Cascade Classification.
IEEE Geosci. Remote. Sens. Lett., 2013

Fusion of spectral and spatial features for human settlement extraction.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

A comparison of SVM-based cascade multitemporal classifiers.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
An open source object-based framework to extract landform classes.
Expert Syst. Appl., 2012

2011
Hidden Markov Models for crop recognition in remote sensing image sequences.
Pattern Recognit. Lett., 2011

Modeling alternatives for fuzzy Markov chain-based classification of multitemporal remote sensing data.
Pattern Recognit. Lett., 2011

2008
Crop Type Recognition Based on Hidden Markov Models of Plant Phenology.
Proceedings of the SIBGRAPI 2008, 2008


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