Raian Vargas Maretto

According to our database, Raian Vargas Maretto authored at least 17 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Task Agnostic Cost Prediction Module for Semantic Labeling in Active Learning.

Srikumar Sastry, Nathan Jacobs, Mariana Belgiu, Raian Vargas Maretto

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Hypersaline Tidal Flats Detection Using Deep Learning Over 37 Years of Landsat Data.

Maria Luize Pinheiro, Luiz Cortinhas, Cesar Guerreiro Diniz, Raian Vargas Maretto, Mateus Grellert

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Deep Learning and Cloudy Optical Time Series: A Case of Study with LSTM to Map LULC in Pantanal.

Bruno Menini Matosak, Leila Maria Garcia Fonseca, Raian Vargas Maretto

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Investigating Sar-Optical Deep Learning Data Fusion to Map the Brazilian Cerrado Vegetation with Sentinel Data.

Paulo Silva Filho, Claudio Persello, Raian Vargas Maretto, Renato Machado

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Mapping Deforestation in Cerrado Based on Hybrid Deep Learning Architecture and Medium Spatial Resolution Satellite Time Series.

Bruno Menini Matosak, Leila Maria Garcia Fonseca, Evandro Carrijo Taquary, Raian Vargas Maretto, Hugo do Nascimento Bendini, Marcos Adami

Remote. Sens., 2022

2021

Building Polygon Extraction from Aerial Images and Digital Surface Models with a Frame Field Learning Framework.

Xiaoyu Sun, Wufan Zhao, Raian Vargas Maretto, Claudio Persello

Remote. Sens., 2021

Pattern Recognition and Remote Sensing techniques applied to Land Use and Land Cover mapping in the Brazilian Savannah.

Leila M. G. Fonseca, Thales Sehn Körting, Hugo do Nascimento Bendini, Cesare Di Girolamo Neto, Alana Kasahara Neves, Anderson Reis Soares, Evandro Carrijo Taquary, Raian Vargas Maretto

Pattern Recognit. Lett., 2021

Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest.

Raian Vargas Maretto, Leila M. G. Fonseca, Nathan Jacobs, Thales Sehn Körting, Hugo N. Bendini, Leandro Parente

IEEE Geosci. Remote. Sens. Lett., 2021

Detecting Clearcut Deforestation Employing Deep Learning Methods and SAR Time Series.

Evandro Carrijo Taquary, Leila M. G. Fonseca, Raian Vargas Maretto, Hugo N. Bendini, Bruno Menini Matosak, Sidnei J. S. Sant'Anna, José C. Mura

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Exploring a Deep Convolutional Neural Network and Geobia for Automatic Recognition of Brazilian Palm Swamps (Veredas) Using Sentinel-2 Optical Data.

Hugo N. Bendini, Leila M. G. Fonseca, Raian Vargas Maretto, Bruno Menini Matosak, Evandro Carrijo Taquary, Philipe S. Simões, Ricardo F. Haidar, Dalton de Morisson Valeriano

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020

Mapping Deforested Areas in the Cerrado Biome through Recurrent Neural Networks.

Bruno Menini Matosak, Raian Vargas Maretto, Thales Sehn Körting, Marcos Adami, Leila Maria Garcia Fonseca

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado.

Hugo N. Bendini, Leila M. G. Fonseca, Anderson Reis Soares, Philippe Rufin, Marcel Schwieder, Marcos A. Rodrigues, Raian Vargas Maretto, Thales Sehn Körting, Pedro J. Leitão, Ieda Del'Arco Sanches, Patrick Hostert

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

An Extensible and Easy-to-use Toolbox for Deep Learning Based Analysis of Remote Sensing Images.

Raian Vargas Maretto, Thales Sehn Körting, Leila Maria Garcia Fonseca

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2015

Spectral Attributes Selection based on Data Mining for Remote Sensing Image Classification.

Raian Vargas Maretto, Thales Sehn Körting, Emiliano Ferreira Castejon, Leila Maria Garcia Fonseca, Rafael D. C. Santos

Proceedings of the XVI Brazilian Symposium on GeoInformatics, Campos do Jordão, São Paulo, Brazil, November 29, 2015

2014

A framework for modeling and simulating <i>aedes aegypti</i> and dengue fever dynamics.

Tiago Lima, Tiago G. S. Carneiro, Leandro Silva, Raquel Lana, Cláudia T. Codeço, Izabel C. Reis, Raian Vargas Maretto, Leonardo B. L. Santos, Antônio Miguel Vieira Monteiro, Líliam Cesar de Castro Medeiros, Flávio Codeço Coelho

Proceedings of the 2014 Winter Simulation Conference, 2014

2011

A Susceptible-Infected Model for Exploring the Effects of Neighborhood Structures on Epidemic Processes - A Segregation Analysis.

Leonardo Bacelar Lima Santos, Raian Vargas Maretto, Líliam Cesar de Castro Medeiros, Flávia da Fonseca Feitosa, Antônio Miguel Vieira Monteiro

Proceedings of the XII Brazilian Symposium on Geoinformatics, 2011

2008

Irregular Cellular Spaces: Supporting Realistic Spatial Dynamic Modeling over Geographical Databases.

Tiago G. S. Carneiro, Gilberto Câmara, Raian Vargas Maretto

Proceedings of the X Brazilian Symposium on Geoinformatics, 2008