Thales Sehn Körting

Orcid: 0000-0002-0876-0501

According to our database1, Thales Sehn Körting authored at least 77 papers between 2007 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Banco de Dados Geográficos e Integração de Informações Socioambientais Como Auxílio à Gestão de Deslizamentos de Terra.
Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

Fluxo de Processamento de Imagens Para Respostas Rápidas à Desastres Naturais.
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.
Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

Evaluation Of The Optimal Image Segmentation Parameters For Deforestation Mapping Using The Shepherd Method.
Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

Image Processing Techniques for Automatic Registration: Applications in PAN/CBERS-4.
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.
Remote. Sens., 2022

Near Real-Time Fire Detection and Monitoring in the MATOPIBA Region, Brazil.
Remote. Sens., 2022

A High-Spatial Resolution Dataset and Few-shot Deep Learning Benchmark for Image Classification.
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.
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.
Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022

2021
Simple Nonlinear Iterative Temporal Clustering.
IEEE Trans. Geosci. Remote. Sens., 2021

On a Data-Driven Approach for Detecting Disturbance in the Brazilian Savannas Using Time Series of Vegetation Indices.
Remote. Sens., 2021

Environmental Drivers of Water Use for Caatinga Woody Plant Species: Combining Remote Sensing Phenology and Sap Flow Measurements.
Remote. Sens., 2021

Pattern Recognition and Remote Sensing techniques applied to Land Use and Land Cover mapping in the Brazilian Savannah.
Pattern Recognit. Lett., 2021

Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest.
IEEE Geosci. Remote. Sens. Lett., 2021

Editorial.
J. Inf. Data Manag., 2021

Frontmatter.
J. Inf. Data Manag., 2021

Exploring Geostatistical Modeling and VisualizationTechniques of Uncertainties for Categorical Spatial Data.
J. Inf. Data Manag., 2021

Detection of Agricultural Activity in Center Pivot Areas in Southeastern Brazil.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Deep Convolutional Neural Network for Classifying Satellite Images with Heterogeneous Spatial Resolutions.
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.
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.
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.
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.
Remote. Sens., 2020

Editorial.
J. Inf. Data Manag., 2020

Land Cover Classification of an Area Susceptible to Landslides Using Random Forest and NDVI Time Series Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Stmetrics: A Python Package for Satellite Image Time-Series Feature Extraction.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Assessing Differentiation Between Pasture and Croplands Using Remote Sensing Image Time Series Metrics.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Mapping Deforested Areas in the Cerrado Biome through Recurrent Neural Networks.
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.
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.
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.
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.
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.
Proceedings of the XXI Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, November 30, 2020

2019
Frontmatter.
J. Inf. Data Manag., 2019

Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series.
Int. J. Appl. Earth Obs. Geoinformation, 2019

Hierarchical Classification of Brazilian Savanna Physiognomies Using Very High Spatial Resolution Image, Superpixel and Geobia.
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.
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.
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.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

Classification algorithms comparison for landslide scars.
Proceedings of the XX Brazilian Symposium on Geoinformatics, 2019

Using GOES-16 Time Series to characterize near real-time active fires in Cerrado.
Proceedings of the XX Brazilian Symposium on Geoinformatics, 2019

Calibração relativa para extensão de assinaturas em série de imagens MODIS.
Proceedings of the XX Brazilian Symposium on Geoinformatics, 2019

2018
Spatio-Temporal Segmentation Applied to Optical Remote Sensing Image Time Series.
IEEE Geosci. Remote. Sens. Lett., 2018

Frontmatter.
J. Inf. Data Manag., 2018

Metodologia para Classificacao Subpixel de Imagens MODIS Com Base em Classificacao de Imagem de Maior Resolucao.
Proceedings of the XIX Brazilian Symposium on Geoinformatics, 2018

2017
Remote sensing image information mining applied to burnt forest detection in the Brazilian Amazon.
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.
Proceedings of the XVIII Brazilian Symposium on Geoinformatics, 2017

TerraClass x MapBiomas: Comparative assessment of legend and mapping agreement analysis.
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.
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.
Proceedings of the XVIII Brazilian Symposium on Geoinformatics, 2017

Segmentation of optical remote sensing images for detecting homogeneous regions in space and time.
Proceedings of the XVIII Brazilian Symposium on Geoinformatics, 2017

2016
Bayesian network model to predict areas for sugarcane expansion in Brazilian Cerrado.
Proceedings of the XVII Brazilian Symposium on Geoinformatics, 2016

Assessment of texture features for Brazilian savanna classification: a case study in Brasilia National Park.
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.
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.
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.
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.
Proceedings of the Joint Urban Remote Sensing Event, 2015

Image segmentation algorithms comparison.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Improvements of the divide and segment method for parallel image segmentation.
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.
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.
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.
Remote. Sens., 2014

Automatic tree crown delineation in tropical forest using hyperspectral data.
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.
Proceedings of the XV Brazilian Symposium on Geoinformatics, Campos do Jordão, São Paulo, Brazil, November 30, 2014

2013
GeoDMA - Geographic Data Mining Analyst.
Comput. Geosci., 2013

The Divide and Segment Method for Parallel Image Segmentation.
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.
PhD thesis, 2012

2011
A Resegmentation Approach for Detecting Rectangular Objects in High-Resolution Imagery.
IEEE Geosci. Remote. Sens. Lett., 2011

Divide And Segment - An Alternative For Parallel Segmentation.
Proceedings of the XII Brazilian Symposium on Geoinformatics, 2011

A Geographical Approach to Self-Organizing Maps Algorithm Applied to Image Segmentation.
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.
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.
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.
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.
Proceedings of the 4th IEEE International Conference on Signal Image Technology and Internet Based Systems, 2008

GeoDMA - A Novel System for Spatial Data Mining.
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.
Proceedings of the IX Brazilian Symposium on Geoinformatics, 2007


  Loading...