Thales Sehn Körting

According to our database, Thales Sehn Körting authored at least 77 papers between 2007 and 2023.

Collaborative distances:

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

2023

Banco de Dados Geográficos e Integração de Informações Socioambientais Como Auxílio à Gestão de Deslizamentos de Terra.

Brenda Rocha, Lúbia Vinhas, Karine Reis Ferreira, Gilberto Ribeiro de Queiroz, Thales Sehn Körting, Pedro Camarinha

Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

Fluxo de Processamento de Imagens Para Respostas Rápidas à Desastres Naturais.

Brenda Rocha, Larissa Mioni, Alisson Oliveira, Cesar A. M. Costa, Thales Sehn Körting

Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

Assessment Of The Impacts Of The 2023 Earthquake In Diyarbakir, Turkey With CBERS-4A Satellite Images.

Ocione D. Filho, Tiffany Mendonça, Gabriel Dietzsch, Bruno Miranda, Felipe O. Passos, Thales Sehn Körting, Gilberto Ribeiro de Queiroz, Luciano Pezzi, Douglas F. M. Gherardi, Laércio M. Namikawa

Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

Evaluation Of The Optimal Image Segmentation Parameters For Deforestation Mapping Using The Shepherd Method.

Breno I. Domingos, Darlan Silva, Guilherme Correia, Ignario Pinho, Vinicius Pereira, Thales Sehn Körting

Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

Image Processing Techniques for Automatic Registration: Applications in PAN/CBERS-4.

Cesar A. M. Costa, Bárbara Martins, Júlio Santos, Pedro M. Bacellar, Tassio Igawa, Fabiano Morelli, Gilberto Ribeiro de Queiroz, Thales Sehn Körting

Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

2022

Identifying Precarious Settlements and Urban Fabric Typologies Based on GEOBIA and Data Mining in Brazilian Amazon Cities.

Bruno dos Santos, Carolina Moutinho Duque de Pinho, Gilberto Eidi Teramoto Oliveira, Thales Sehn Körting, Maria Isabel Sobral Escada, Silvana Amaral

Remote. Sens., 2022

Near Real-Time Fire Detection and Monitoring in the MATOPIBA Region, Brazil.

Mikhaela A. J. S. Pletsch, Thales Sehn Körting, Felipe Carraro Morita, Celso Henrique Leite Silva Junior, Liana O. Anderson, Luiz E. O. C. Aragão

Remote. Sens., 2022

A High-Spatial Resolution Dataset and Few-shot Deep Learning Benchmark for Image Classification.

Mateus de Souza Miranda, Lucas Fernando Alvarenga e Silva, Samuel Felipe dos Santos, Valdivino Alexandre de Santiago Júnior, Thales Sehn Körting, Jurandy Almeida

Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022

Pacote 'Contraste': aplicação de técnicas de contraste baseado no uso e cobertura da terra.

Diego M. de Melo, Gisele Milare, Marielcio G. Lacerda, Gilberto Ribeiro de Queiroz, Thales Sehn Körting

Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022

FMASK algorithm applied to Landsat images: a study case in the region of Santarém, Pará, Brazil.

Elton Vicente Escobar-Silva, Anielli Rosane de Souza, Maria Lucia Ferreira Barbosa, Cláudia Maria de Almeida, Liana Oighenstein Anderson, Gilberto Ribeiro de Queiroz, Thales Sehn Körting

Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022

2021

Simple Nonlinear Iterative Temporal Clustering.

Anderson Reis Soares, Thales Sehn Körting, Leila M. G. Fonseca, Hugo N. Bendini

IEEE Trans. Geosci. Remote. Sens., 2021

On a Data-Driven Approach for Detecting Disturbance in the Brazilian Savannas Using Time Series of Vegetation Indices.

Alana Almeida de Souza, Lênio Soares Galvão, Thales Sehn Körting, Cláudio Aparecido de Almeida

Remote. Sens., 2021

Environmental Drivers of Water Use for Caatinga Woody Plant Species: Combining Remote Sensing Phenology and Sap Flow Measurements.

Rennan Andres Paloschi, Desirée Marques Ramos, Dione J. Ventura, Rodolfo Souza, Eduardo Souza, Leonor Patricia Cerdeira Morellato, Rodolfo Luiz Bezerra Nóbrega, Ítalo Antônio Cotta Coutinho, Anne Verhoef, Thales Sehn Körting, Laura De Simone Borma

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

Editorial.

Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Thales Sehn Körting

J. Inf. Data Manag., 2021

Frontmatter.

Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Thales Sehn Körting

J. Inf. Data Manag., 2021

Exploring Geostatistical Modeling and VisualizationTechniques of Uncertainties for Categorical Spatial Data.

Carlos A. Felgueiras, Jussara de Oliveira Ortiz, Eduardo Gerbi Camargo, Laércio Massaru Namikawa, Thales Sehn Körting

J. Inf. Data Manag., 2021

Detection of Agricultural Activity in Center Pivot Areas in Southeastern Brazil.

Felipe Rafael de Sá Menezes Lucena, Aline Casassola, Thales Sehn Körting, Leila Maria Garcia Fonseca, Hermann Johann Heinrich Kux

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

Deep Convolutional Neural Network for Classifying Satellite Images with Heterogeneous Spatial Resolutions.

Mateus de Souza Miranda, Valdivino Alexandre de Santiago Jr., Thales Sehn Körting, Rodrigo Leonardi, Moisés Laurence de Freitas

Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

Classification of the water volume of dams using heterogeneous remote sensing images through a deep convolutional neural network.

Mateus de Souza Miranda, Renato S. Maximiano, Valdivino Alexandre de Santiago Júnior, Thales Sehn Körting, Leila M. G. Fonseca

Proceedings of the XXII Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, online, November 29, 2021

Utilizando o padrão SpatioTemporal Asset Catalog para visualização de dados.

Thais de Medeiros, Bruno dos Santos, Gilberto Eidi Teramoto Oliveira, Thales Sehn Körting, Gilberto Ribeiro de Queiroz

Proceedings of the XXII Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, online, November 29, 2021

Automated cloud coverage analysis with Brazil Data Cube.

Thainara Lima, Rômulo Marques, Ueslei Sutil, Cláudia Maria de Almeida, Cláudio C. F. Barbosa, Thales Sehn Körting, Gilberto Ribeiro de Queiroz

Proceedings of the XXII Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, online, November 29, 2021

2020

Earth Observation Data Cubes for Brazil: Requirements, Methodology and Products.

Karine Reis Ferreira, Gilberto Ribeiro de Queiroz, Lúbia Vinhas, Rennan F. B. Marujo, Rolf Ezequiel O. Simões, Michelle Cristina Araújo Picoli, Gilberto Câmara, Ricardo Cartaxo, Vitor Conrado Faria Gomes, Lorena A. Santos, Alber H. Sánchez, Jeferson S. Arcanjo, José Guilherme Fronza, Carlos Alberto Noronha, Raphael W. Costa, Matheus Cavassan Zaglia, Fabiana Zioti, Thales Sehn Körting, Anderson Reis Soares, Michel E. D. Chaves, Leila M. G. Fonseca

Remote. Sens., 2020

Editorial.

Angelo Brayner, Maristela Holanda, Thales Sehn Körting

J. Inf. Data Manag., 2020

Land Cover Classification of an Area Susceptible to Landslides Using Random Forest and NDVI Time Series Data.

Tatiana Dias Tardelli Uehara, Anderson Reis Soares, Renata Pacheco Quevedo, Thales Sehn Körting, Leila Maria Garcia Fonseca, Marcos Adami

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

Stmetrics: A Python Package for Satellite Image Time-Series Feature Extraction.

Anderson Reis Soares, Hugo N. Bendini, Daiane V. Vaz, Tatiana D. T. Uehara, Alana Kasahara Neves, Sarah Lechler, Thales Sehn Körting, Leila M. G. Fonseca

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

Assessing Differentiation Between Pasture and Croplands Using Remote Sensing Image Time Series Metrics.

Marcos Antônio de Almeida Rodrigues, Hugo do Nascimento Bendini, Anderson Reis Soares, Thales Sehn Körting, Leila Maria Garcia Fonseca

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Aplicação do Modelo Aditivo Generalizado espacial para a modelagem da susceptibilidade a ocorrência de deslizamentos.

Tatiana D. T. Uehara, Eduardo Gerbi Camargo, Camile Sothe, Thales Sehn Körting

Proceedings of the XXI Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, November 30, 2020

Spatial-temporal Analysis of active fire classified by INPE's Fire Risk Model in Brazil using Python language.

Gabriel Máximo da Silva, Bruno Vilhena Adorno, Gilberto Ribeiro de Queiroz, Thales Sehn Körting, Fabiano Morelli, Silvana Amaral, Yosio Edemir Shimabukuro

Proceedings of the XXI Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, November 30, 2020

Circular Hough Transform and Balanced Random Forest to Detect Center Pivots.

Marcos Lima Rodrigues, Thales Sehn Körting, Gilberto Ribeiro de Queiroz

Proceedings of the XXI Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, November 30, 2020

Identificação de pivôs centrais usando composições de bandas e um método rápido de Deep Learning.

Denis M. A. Eiras, Mikhaela A. J. S. Pletsch, Marcos Lima Rodrigues, Karine Reis Ferreira, Thales Sehn Körting

Proceedings of the XXI Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, November 30, 2020

2019

Frontmatter.

Angelo Brayner, Maristela Holanda, Thales Sehn Körting

J. Inf. Data Manag., 2019

Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series.

Hugo do Nascimento Bendini, Leila Maria Garcia Fonseca, Marcel Schwieder, Thales Sehn Körting, Philippe Rufin, Ieda Del'Arco Sanches, Pedro J. Leitão, Patrick Hostert

Int. J. Appl. Earth Obs. Geoinformation, 2019

Hierarchical Classification of Brazilian Savanna Physiognomies Using Very High Spatial Resolution Image, Superpixel and Geobia.

Alana Kasahara Neves, Thales Sehn Körting, Cesare Di Girolamo Neto, Anderson Reis Soares, Leila Maria Garcia Fonseca

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

Comparing Phenometrics Extracted From Dense Landsat-Like Image Time Series for Crop Classification.

Hugo do Nascimento Bendini, Leila Maria Garcia Fonseca, Marcel Schwieder, Thales Sehn Körting, Philippe Rufin, Ieda Del'Arco Sanches, Pedro J. Leitão, Patrick Hostert

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

Potential of Using Sentinel-1 Data to Distinguish Targets in Remote Sensing Images.

Mikhaela Aloísia Jéssie Santos Pletsch, Thales Sehn Körting, Willian Vieira de Oliveira, Ieda Del'Arco Sanches, Victor Velázquez Fernandez, Fábio F. Gama, Maria Isabel Sobral Escada

Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

Classification algorithms comparison for landslide scars.

Tatiana Dias Tardelli Uehara, Sabrina Paes Leme Passos Correa, Renata Pacheco Quevedo, Thales Sehn Körting, Luciano Vieira Dutra, Camilo Daleles Rennó

Proceedings of the XX Brazilian Symposium on Geoinformatics, 2019

Using GOES-16 Time Series to characterize near real-time active fires in Cerrado.

Mikhaela A. J. S. Pletsch, Thales Sehn Körting, Felipe Carraro Morita, Fabiano Morelli, Olga Bittencourt, Paulo S. S. Victorino

Proceedings of the XX Brazilian Symposium on Geoinformatics, 2019

Calibração relativa para extensão de assinaturas em série de imagens MODIS.

Noeli A. P. Moreira, Thales Sehn Körting, Luciano Vieira Dutra, Emiliano Ferreira Castejon, Egidio Arai

Proceedings of the XX Brazilian Symposium on Geoinformatics, 2019

2018

Spatio-Temporal Segmentation Applied to Optical Remote Sensing Image Time Series.

Wanderson S. Costa, Leila Maria Garcia Fonseca, Thales Sehn Körting, Hugo do Nascimento Bendini, Ricardo Cartaxo Modesto de Souza

IEEE Geosci. Remote. Sens. Lett., 2018

Frontmatter.

Angelo Brayner, Maristela Holanda, Roberto Willrich, Thales Sehn Körting, Celso A. S. Santos

J. Inf. Data Manag., 2018

Metodologia para Classificacao Subpixel de Imagens MODIS Com Base em Classificacao de Imagem de Maior Resolucao.

Noeli A. P. Moreira, Thales Sehn Körting, Luciano Vieira Dutra, Emiliano Ferreira Castejon, Egidio Arai

Proceedings of the XIX Brazilian Symposium on Geoinformatics, 2018

2017

Remote sensing image information mining applied to burnt forest detection in the Brazilian Amazon.

Mikhaela Aloísia Jéssie Santos Pletsch, Thales Sehn Körting

Proceedings of the XVIII Brazilian Symposium on Geoinformatics, 2017

Deteccao e delimitacao automatica de corpos hidricos em imagens Sentinel-2: uma proposta de integracao do algoritmo Fmask aos indices espectrais NDWI e MNDWI.

Thales Vaz Penha, Mikhaela Aloísia Jéssie Santos Pletsch, Celso Henrique Leite Silva Jr., Thales Sehn Körting, Leila Maria Garcia Fonseca

Proceedings of the XVIII Brazilian Symposium on Geoinformatics, 2017

TerraClass x MapBiomas: Comparative assessment of legend and mapping agreement analysis.

Alana Kasahara Neves, Thales Sehn Körting, Leila Maria Garcia Fonseca, Gilberto Ribeiro de Queiroz, Lúbia Vinhas, Karine Reis Ferreira, Maria Isabel Sobral Escada

Proceedings of the XVIII Brazilian Symposium on Geoinformatics, 2017

Spectral normalization between Landsat-8/OLI, Landsat- 7/ETM+ and CBERS-4/MUX bands through linear regression and spectral unmixing.

Rennan F. B. Marujo, Leila Maria Garcia Fonseca, Thales Sehn Körting, Hugo do Nascimento Bendini

Proceedings of the XVIII Brazilian Symposium on Geoinformatics, 2017

Modeling and visualization of uncertainties of categorical spatial data using geostatistics, 3D planar projections and color fusion techniques.

Carlos Alberto Felgueiras, Jussara de Oliveira Ortiz, Eduardo Gerbi Camargo, Laércio Massaru Namikawa, Thales Sehn Körting

Proceedings of the XVIII Brazilian Symposium on Geoinformatics, 2017

Segmentation of optical remote sensing images for detecting homogeneous regions in space and time.

Ricardo Ramos Cabette, Marconi de Arruda Pereira, Tales Moreira Oliveira, Wanderson S. Costa, Leila M. G. Fonseca, Thales Sehn Körting, Margareth Simões, Hugo N. Bendini, Ricardo Cartaxo Modesto de Souza

Proceedings of the XVIII Brazilian Symposium on Geoinformatics, 2017

2016

Bayesian network model to predict areas for sugarcane expansion in Brazilian Cerrado.

Alexsandro C. O. Silva, Leila Maria Garcia Fonseca, Thales Sehn Körting

Proceedings of the XVII Brazilian Symposium on Geoinformatics, 2016

Assessment of texture features for Brazilian savanna classification: a case study in Brasilia National Park.

Cesare Di Girolamo Neto, Leila Maria Garcia Fonseca, Thales Sehn Körting

Proceedings of the XVII Brazilian Symposium on Geoinformatics, 2016

Assessment of a multi-sensor approach for noise removal on Landsat-8 OLI time series using CBERS-4 MUX data to improve crop classification based on phenological features.

Hugo N. Bendini, Leila Maria Garcia Fonseca, Thales Sehn Körting, Rennan F. B. Marujo, Ieda Del'Arco Sanches, Jeferson S. Arcanjo

Proceedings of the XVII Brazilian Symposium on Geoinformatics, 2016

2015

Classifying Grasslands and Cultivated Pastures in the Brazilian Cerrado Using Support Vector Machines, Multilayer Perceptrons and Autoencoders.

Wanderson S. Costa, Leila Maria Garcia Fonseca, Thales Sehn Körting

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

Remote sensing image processing to identify spatial units of human occupation along Trans-Amazonian Highway (BR-230), Brazil.

Joao Arthur Pompeu Pavanelli, Bruna Virginia Neves, Vanessa Priscila Camphora, Thales Sehn Körting

Proceedings of the Joint Urban Remote Sensing Event, 2015

Object-based image analysis for urban land cover classification in the city of Campinas - SP, Brazil.

David G. M. Franca, Rodolfo G. Lotte, Cláudia Maria de Almeida, Sacha M. O. Siani, Thales Sehn Körting, Leila M. G. Fonseca, Luiz T. da Silva

Proceedings of the Joint Urban Remote Sensing Event, 2015

Image segmentation algorithms comparison.

Mariane Souza Reis, Maria Antonia Falcão de Oliveira, Thales Sehn Körting, Eliana Pantaleão, Sidnei João Siqueira Sant'Anna, Luciano Vieira Dutra, Dengsheng Lu

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Improvements of the divide and segment method for parallel image segmentation.

Anderson Reis Soares, Thales Sehn Körting, Leila Maria Garcia Fonseca

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

Combining Time Series Features and Data Mining to Detect Land Cover patterns: a Case Study in Northern Mato Grosso State, Brazil.

Alana Kasahara Neves, Hugo N. Bendini, Thales Sehn Körting, Leila Maria Garcia Fonseca

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

Improvements in Sample Selection Methods for Image Classification.

Thales Sehn Körting, Leila Maria Garcia Fonseca, Emiliano Ferreira Castejon, Laércio Massaru Namikawa

Remote. Sens., 2014

Automatic tree crown delineation in tropical forest using hyperspectral data.

Matheus Pinheiro Ferreira, Daniel C. Zanotta, Maciel Zortea, Thales Sehn Körting, Leila Maria Garcia Fonseca, Yosio Edemir Shimabukuro, Carlos Roberto de Souza Filho

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Proposta de Sistema de Monitoramento da Sigatoka-Negra Baseado em Variáveis Ambientais Utilizando o TerraMA2.

Hugo N. Bendini, Wilson S. Moraes, Simone Costa, Eymar Silva Sampaio Lopes, Thales Sehn Körting, Leila Maria Garcia Fonseca

Proceedings of the XV Brazilian Symposium on Geoinformatics, Campos do Jordão, São Paulo, Brazil, November 30, 2014

2013

GeoDMA - Geographic Data Mining Analyst.

Thales Sehn Körting, Leila Maria Garcia Fonseca, Gilberto Câmara

Comput. Geosci., 2013

The Divide and Segment Method for Parallel Image Segmentation.

Thales Sehn Körting, Emiliano Ferreira Castejon, Leila Maria Garcia Fonseca

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2013

2012

GeoDMA: uma ferramenta para integrar mineração de dados com análise multi-temporal e orientada a objetos de imagens de sensoriamento remoto.

Thales Sehn Körting

PhD thesis, 2012

2011

A Resegmentation Approach for Detecting Rectangular Objects in High-Resolution Imagery.

Thales Sehn Körting, Luciano Vieira Dutra, Leila Maria Garcia Fonseca

IEEE Geosci. Remote. Sens. Lett., 2011

Divide And Segment - An Alternative For Parallel Segmentation.

Thales Sehn Körting, Emiliano Ferreira Castejon, Leila Maria Garcia Fonseca

Proceedings of the XII Brazilian Symposium on Geoinformatics, 2011

A Geographical Approach to Self-Organizing Maps Algorithm Applied to Image Segmentation.

Thales Sehn Körting, Leila Maria Garcia Fonseca, Gilberto Câmara

Proceedings of the Advances Concepts for Intelligent Vision Systems, 2011

2010

Assessment of a Modified Version of the EM Algorithm for Remote Sensing Data Classification.

Thales Sehn Körting, Luciano Vieira Dutra, Guaraci J. Erthal, Leila Maria Garcia Fonseca

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

2009

Detecting Rectangular Objects in Urban Imagery - A Re-Segmentation Approach.

Thales Sehn Körting, Luciano Vieira Dutra, Leila Maria Garcia Fonseca

Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

2008

Image Re-Segmentation - a New Approach Applied to Urban Imagery.

Thales Sehn Körting, Leila Maria Garcia Fonseca, Luciano Vieira Dutra, Felipe Castro da Silva

Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Expectation-Maximization x Self-Organizing Maps for Image Classification.

Thales Sehn Körting, Leila Maria Garcia Fonseca, Fernando Bação

Proceedings of the 4th IEEE International Conference on Signal Image Technology and Internet Based Systems, 2008

GeoDMA - A Novel System for Spatial Data Mining.

Thales Sehn Körting, Leila Maria Garcia Fonseca, Maria Isabel Sobral Escada, Felipe Castro da Silva, Marcelino Pereira dos Santos Silva

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007

Improvements to Expectation-Maximization Approach for Unsupervised Classification of Remote Sensing Data.

Thales Sehn Körting, Luciano Vieira Dutra, Leila Maria Garcia Fonseca, Guaraci J. Erthal, Felipe Castro da Silva

Proceedings of the IX Brazilian Symposium on Geoinformatics, 2007