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Thales Sehn Körting
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2020 – today
- 2023
- [c57]Breno I. Domingos, Darlan Silva, Guilherme Correia, Ignario Pinho, Vinicius Pereira, Thales Sehn Körting:
Evaluation Of The Optimal Image Segmentation Parameters For Deforestation Mapping Using The Shepherd Method. GEOINFO 2023: 81-89 - [c56]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:
Assessment Of The Impacts Of The 2023 Earthquake In Diyarbakir, Turkey With CBERS-4A Satellite Images. GEOINFO 2023: 167-174 - [c55]Cesar A. M. Costa, Bárbara Martins, Júlio Santos, Pedro M. Bacellar, Tassio Igawa, Fabiano Morelli, Gilberto Ribeiro de Queiroz, Thales Sehn Körting:
Image Processing Techniques for Automatic Registration: Applications in PAN/CBERS-4. GEOINFO 2023: 388-393 - [c54]Brenda Rocha, Lúbia Vinhas, Karine Reis Ferreira, Gilberto Ribeiro de Queiroz, Thales Sehn Körting, Pedro Camarinha:
Banco de Dados Geográficos e Integração de Informações Socioambientais Como Auxílio à Gestão de Deslizamentos de Terra. GEOINFO 2023: 454-459 - [c53]Brenda Rocha, Larissa Mioni, Alisson Oliveira, Cesar A. M. Costa, Thales Sehn Körting:
Fluxo de Processamento de Imagens Para Respostas Rápidas à Desastres Naturais. GEOINFO 2023: 460-465 - 2022
- [j19]Bruno dos Santos
, Carolina Moutinho Duque de Pinho
, Gilberto Eidi Teramoto Oliveira, Thales Sehn Körting
, Maria Isabel Sobral Escada
, Silvana Amaral
:
Identifying Precarious Settlements and Urban Fabric Typologies Based on GEOBIA and Data Mining in Brazilian Amazon Cities. Remote. Sens. 14(3): 704 (2022) - [j18]Mikhaela A. J. S. Pletsch
, Thales Sehn Körting
, Felipe Carraro Morita
, Celso Henrique Leite Silva Junior
, Liana O. Anderson
, Luiz E. O. C. Aragão
:
Near Real-Time Fire Detection and Monitoring in the MATOPIBA Region, Brazil. Remote. Sens. 14(13): 3141 (2022) - [c52]Diego M. de Melo, Gisele Milare, Marielcio G. Lacerda, Gilberto Ribeiro de Queiroz, Thales Sehn Körting:
Pacote 'Contraste': aplicação de técnicas de contraste baseado no uso e cobertura da terra. GEOINFO 2022: 293-298 - [c51]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:
FMASK algorithm applied to Landsat images: a study case in the region of Santarém, Pará, Brazil. GEOINFO 2022: 347-352 - [c50]Mateus de Souza Miranda
, Lucas Fernando Alvarenga e Silva, Samuel Felipe dos Santos
, Valdivino Alexandre de Santiago Júnior
, Thales Sehn Körting, Jurandy Almeida:
A High-Spatial Resolution Dataset and Few-shot Deep Learning Benchmark for Image Classification. SIBGRAPI 2022: 19-24 - 2021
- [j17]Carlos A. Felgueiras, Jussara de Oliveira Ortiz, Eduardo Gerbi Camargo, Laércio Massaru Namikawa, Thales Sehn Körting:
Exploring Geostatistical Modeling and VisualizationTechniques of Uncertainties for Categorical Spatial Data. J. Inf. Data Manag. 12(4) (2021) - [j16]Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Thales Sehn Körting:
Frontmatter. J. Inf. Data Manag. 12(4) (2021) - [j15]Maristela Terto de Holanda, Daniel Cardoso Moraes de Oliveira, Thales Sehn Körting:
Editorial. J. Inf. Data Manag. 12(4) (2021) - [j14]Raian Vargas Maretto
, Leila M. G. Fonseca
, Nathan Jacobs
, Thales Sehn Körting, Hugo N. Bendini
, Leandro Parente
:
Spatio-Temporal Deep Learning Approach to Map Deforestation in Amazon Rainforest. IEEE Geosci. Remote. Sens. Lett. 18(5): 771-775 (2021) - [j13]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 Recognition and Remote Sensing techniques applied to Land Use and Land Cover mapping in the Brazilian Savannah. Pattern Recognit. Lett. 148: 54-60 (2021) - [j12]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
:
Environmental Drivers of Water Use for Caatinga Woody Plant Species: Combining Remote Sensing Phenology and Sap Flow Measurements. Remote. Sens. 13(1): 75 (2021) - [j11]Alana Almeida de Souza
, Lênio Soares Galvão
, Thales Sehn Körting
, Cláudio Aparecido de Almeida
:
On a Data-Driven Approach for Detecting Disturbance in the Brazilian Savannas Using Time Series of Vegetation Indices. Remote. Sens. 13(24): 4959 (2021) - [j10]Anderson Reis Soares
, Thales Sehn Körting, Leila M. G. Fonseca
, Hugo N. Bendini
:
Simple Nonlinear Iterative Temporal Clustering. IEEE Trans. Geosci. Remote. Sens. 59(9): 7669-7679 (2021) - [c49]Mateus de Souza Miranda, Renato S. Maximiano, Valdivino Alexandre de Santiago Júnior, Thales Sehn Körting, Leila M. G. Fonseca:
Classification of the water volume of dams using heterogeneous remote sensing images through a deep convolutional neural network. GEOINFO 2021: 179-188 - [c48]Thainara Lima, Rômulo Marques, Ueslei Sutil, Cláudia Maria de Almeida, Cláudio C. F. Barbosa, Thales Sehn Körting, Gilberto Ribeiro de Queiroz:
Automated cloud coverage analysis with Brazil Data Cube. GEOINFO 2021: 204-209 - [c47]Thais de Medeiros, Bruno dos Santos, Gilberto Eidi Teramoto Oliveira, Thales Sehn Körting, Gilberto Ribeiro de Queiroz:
Utilizando o padrão SpatioTemporal Asset Catalog para visualização de dados. GEOINFO 2021: 264-269 - [c46]Mateus de Souza Miranda
, Valdivino Alexandre de Santiago Jr.
, Thales Sehn Körting
, Rodrigo Leonardi
, Moisés Laurence de Freitas
:
Deep Convolutional Neural Network for Classifying Satellite Images with Heterogeneous Spatial Resolutions. ICCSA (7) 2021: 519-530 - [c45]Felipe Rafael de Sá Menezes Lucena, Aline Casassola, Thales Sehn Körting, Leila Maria Garcia Fonseca, Hermann Johann Heinrich Kux:
Detection of Agricultural Activity in Center Pivot Areas in Southeastern Brazil. IGARSS 2021: 7043-7046 - 2020
- [j9]Angelo Brayner, Maristela Holanda, Thales Sehn Körting:
Editorial. J. Inf. Data Manag. 11(2) (2020) - [j8]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
:
Earth Observation Data Cubes for Brazil: Requirements, Methodology and Products. Remote. Sens. 12(24): 4033 (2020) - [c44]Marcos Lima Rodrigues, Thales Sehn Körting, Gilberto Ribeiro de Queiroz:
Circular Hough Transform and Balanced Random Forest to Detect Center Pivots. GEOINFO 2020: 106-117 - [c43]Tatiana D. T. Uehara, Eduardo Gerbi Camargo, Camile Sothe, Thales Sehn Körting:
Aplicação do Modelo Aditivo Generalizado espacial para a modelagem da susceptibilidade a ocorrência de deslizamentos. GEOINFO 2020: 110-115 - [c42]Gabriel Máximo da Silva, Bruno Vilhena Adorno, Gilberto Ribeiro de Queiroz, Thales Sehn Körting, Fabiano Morelli, Silvana Amaral, Yosio Edemir Shimabukuro:
Spatial-temporal Analysis of active fire classified by INPE's Fire Risk Model in Brazil using Python language. GEOINFO 2020: 153-161 - [c41]Denis M. A. Eiras, Mikhaela A. J. S. Pletsch, Marcos Lima Rodrigues, Karine Reis Ferreira, Thales Sehn Körting:
Identificação de pivôs centrais usando composições de bandas e um método rápido de Deep Learning. GEOINFO 2020: 180-185 - [c40]Marcos Antônio de Almeida Rodrigues, Hugo do Nascimento Bendini, Anderson Reis Soares
, Thales Sehn Körting, Leila Maria Garcia Fonseca:
Assessing Differentiation Between Pasture and Croplands Using Remote Sensing Image Time Series Metrics. IGARSS 2020: 168-171 - [c39]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:
Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado. IGARSS 2020: 1078-1081 - [c38]Tatiana Dias Tardelli Uehara, Anderson Reis Soares
, Renata Pacheco Quevedo
, Thales Sehn Körting, Leila Maria Garcia Fonseca, Marcos Adami:
Land Cover Classification of an Area Susceptible to Landslides Using Random Forest and NDVI Time Series Data. IGARSS 2020: 1345-1348 - [c37]Bruno Menini Matosak, Raian Vargas Maretto
, Thales Sehn Körting, Marcos Adami, Leila Maria Garcia Fonseca:
Mapping Deforested Areas in the Cerrado Biome through Recurrent Neural Networks. IGARSS 2020: 1389-1392 - [c36]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:
Stmetrics: A Python Package for Satellite Image Time-Series Feature Extraction. IGARSS 2020: 2061-2064
2010 – 2019
- 2019
- [j7]Hugo do Nascimento Bendini
, Leila Maria Garcia Fonseca, Marcel Schwieder
, Thales Sehn Körting
, Philippe Rufin
, Ieda Del'Arco Sanches, Pedro J. Leitão
, Patrick Hostert:
Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series. Int. J. Appl. Earth Obs. Geoinformation 82 (2019) - [j6]Angelo Brayner, Maristela Holanda, Thales Sehn Körting:
Frontmatter. J. Inf. Data Manag. 10(1): 0-2 (2019) - [c35]Mikhaela A. J. S. Pletsch, Thales Sehn Körting, Felipe Carraro Morita, Fabiano Morelli, Olga Bittencourt, Paulo S. S. Victorino:
Using GOES-16 Time Series to characterize near real-time active fires in Cerrado. GEOINFO 2019: 66-76 - [c34]Tatiana Dias Tardelli Uehara, Sabrina Paes Leme Passos Correa, Renata Pacheco Quevedo, Thales Sehn Körting, Luciano Vieira Dutra, Camilo Daleles Rennó:
Classification algorithms comparison for landslide scars. GEOINFO 2019: 158-169 - [c33]Noeli A. P. Moreira, Thales Sehn Körting, Luciano Vieira Dutra, Emiliano Ferreira Castejon, Egidio Arai:
Calibração relativa para extensão de assinaturas em série de imagens MODIS. GEOINFO 2019: 230-236 - [c32]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
:
Potential of Using Sentinel-1 Data to Distinguish Targets in Remote Sensing Images. ICCSA (4) 2019: 563-576 - [c31]Hugo do Nascimento Bendini, Leila Maria Garcia Fonseca
, Marcel Schwieder, Thales Sehn Körting, Philippe Rufin
, Ieda Del'Arco Sanches, Pedro J. Leitão, Patrick Hostert:
Comparing Phenometrics Extracted From Dense Landsat-Like Image Time Series for Crop Classification. IGARSS 2019: 469-472 - [c30]Alana Kasahara Neves
, Thales Sehn Körting, Cesare Di Girolamo Neto, Anderson Reis Soares, Leila Maria Garcia Fonseca
:
Hierarchical Classification of Brazilian Savanna Physiognomies Using Very High Spatial Resolution Image, Superpixel and Geobia. IGARSS 2019: 3716-3719 - [c29]Raian Vargas Maretto, Thales Sehn Körting, Leila Maria Garcia Fonseca
:
An Extensible and Easy-to-use Toolbox for Deep Learning Based Analysis of Remote Sensing Images. IGARSS 2019: 9815-9818 - 2018
- [j5]Angelo Brayner, Maristela Holanda, Roberto Willrich, Thales Sehn Körting, Celso A. S. Santos:
Frontmatter. J. Inf. Data Manag. 9(3): 196 (2018) - [j4]Wanderson S. Costa
, Leila Maria Garcia Fonseca
, Thales Sehn Körting
, Hugo do Nascimento Bendini
, Ricardo Cartaxo Modesto de Souza:
Spatio-Temporal Segmentation Applied to Optical Remote Sensing Image Time Series. IEEE Geosci. Remote. Sens. Lett. 15(8): 1299-1303 (2018) - [c28]Noeli A. P. Moreira, Thales Sehn Körting, Luciano Vieira Dutra, Emiliano Ferreira Castejon, Egidio Arai:
Metodologia para Classificacao Subpixel de Imagens MODIS Com Base em Classificacao de Imagem de Maior Resolucao. GEOINFO 2018: 146-151 - 2017
- [c27]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:
Segmentation of optical remote sensing images for detecting homogeneous regions in space and time. GEOINFO 2017: 40-51 - [c26]Carlos Alberto Felgueiras, Jussara de Oliveira Ortiz, Eduardo Gerbi Camargo, Laércio Massaru Namikawa, Thales Sehn Körting:
Modeling and visualization of uncertainties of categorical spatial data using geostatistics, 3D planar projections and color fusion techniques. GEOINFO 2017: 152-162 - [c25]Rennan F. B. Marujo, Leila Maria Garcia Fonseca, Thales Sehn Körting, Hugo do Nascimento Bendini:
Spectral normalization between Landsat-8/OLI, Landsat- 7/ETM+ and CBERS-4/MUX bands through linear regression and spectral unmixing. GEOINFO 2017: 273-282 - [c24]Alana Kasahara Neves, Thales Sehn Körting, Leila Maria Garcia Fonseca, Gilberto Ribeiro de Queiroz, Lúbia Vinhas, Karine Reis Ferreira, Maria Isabel Sobral Escada:
TerraClass x MapBiomas: Comparative assessment of legend and mapping agreement analysis. GEOINFO 2017: 295-300 - [c23]Mikhaela Aloísia Jéssie Santos Pletsch, Thales Sehn Körting:
Remote sensing image information mining applied to burnt forest detection in the Brazilian Amazon. GEOINFO 2017: 322-333 - [c22]Thales Vaz Penha, Mikhaela Aloísia Jéssie Santos Pletsch, Celso Henrique Leite Silva Jr., Thales Sehn Körting, Leila Maria Garcia Fonseca:
Deteccao e delimitacao automatica de corpos hidricos em imagens Sentinel-2: uma proposta de integracao do algoritmo Fmask aos indices espectrais NDWI e MNDWI. GEOINFO 2017: 340-345 - 2016
- [c21]Cesare Di Girolamo Neto, Leila Maria Garcia Fonseca, Thales Sehn Körting:
Assessment of texture features for Brazilian savanna classification: a case study in Brasilia National Park. GEOINFO 2016: 204-215 - [c20]Alexsandro C. O. Silva, Leila Maria Garcia Fonseca, Thales Sehn Körting:
Bayesian network model to predict areas for sugarcane expansion in Brazilian Cerrado. GEOINFO 2016: 216-227 - [c19]Hugo N. Bendini, Leila Maria Garcia Fonseca, Thales Sehn Körting, Rennan F. B. Marujo, Ieda Del'Arco Sanches, Jeferson S. Arcanjo:
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. GEOINFO 2016: 240-251 - 2015
- [c18]Raian Vargas Maretto, Thales Sehn Körting, Emiliano Ferreira Castejon, Leila Maria Garcia Fonseca, Rafael D. C. Santos:
Spectral Attributes Selection based on Data Mining for Remote Sensing Image Classification. GEOINFO 2015: 155-161 - [c17]Alana Kasahara Neves, Hugo N. Bendini, Thales Sehn Körting, Leila Maria Garcia Fonseca:
Combining Time Series Features and Data Mining to Detect Land Cover patterns: a Case Study in Northern Mato Grosso State, Brazil. GEOINFO 2015: 174-185 - [c16]Anderson Reis Soares, Thales Sehn Körting, Leila Maria Garcia Fonseca:
Improvements of the divide and segment method for parallel image segmentation. GEOINFO 2015: 222-232 - [c15]Mariane Souza Reis
, Maria Antonia Falcão de Oliveira, Thales Sehn Körting, Eliana Pantaleão
, Sidnei João Siqueira Sant'Anna, Luciano Vieira Dutra, Dengsheng Lu:
Image segmentation algorithms comparison. IGARSS 2015: 4340-4343 - [c14]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
:
Object-based image analysis for urban land cover classification in the city of Campinas - SP, Brazil. JURSE 2015: 1-4 - [c13]Joao Arthur Pompeu Pavanelli, Bruna Virginia Neves, Vanessa Priscila Camphora, Thales Sehn Körting:
Remote sensing image processing to identify spatial units of human occupation along Trans-Amazonian Highway (BR-230), Brazil. JURSE 2015: 1-4 - [c12]Wanderson S. Costa, Leila Maria Garcia Fonseca, Thales Sehn Körting:
Classifying Grasslands and Cultivated Pastures in the Brazilian Cerrado Using Support Vector Machines, Multilayer Perceptrons and Autoencoders. MLDM 2015: 187-198 - [e1]Thales Sehn Körting, Renato Fileto:
XVI Brazilian Symposium on GeoInformatics, Campos do Jordão, São Paulo, Brazil, November 29 - December 2, 2015. MCTI/INPE 2015 [contents] - 2014
- [j3]Thales Sehn Körting, Leila Maria Garcia Fonseca
, Emiliano Ferreira Castejon, Laércio Massaru Namikawa
:
Improvements in Sample Selection Methods for Image Classification. Remote. Sens. 6(8): 7580-7591 (2014) - [c11]Hugo N. Bendini, Wilson S. Moraes, Simone Costa, Eymar Silva Sampaio Lopes, Thales Sehn Körting, Leila Maria Garcia Fonseca:
Proposta de Sistema de Monitoramento da Sigatoka-Negra Baseado em Variáveis Ambientais Utilizando o TerraMA2. GeoInfo 2014: 168-173 - [c10]Matheus Pinheiro Ferreira
, Daniel C. Zanotta, Maciel Zortea, Thales Sehn Körting, Leila Maria Garcia Fonseca
, Yosio Edemir Shimabukuro, Carlos Roberto de Souza Filho
:
Automatic tree crown delineation in tropical forest using hyperspectral data. IGARSS 2014: 784-787 - 2013
- [j2]Thales Sehn Körting, Leila Maria Garcia Fonseca
, Gilberto Câmara
:
GeoDMA - Geographic Data Mining Analyst. Comput. Geosci. 57: 133-145 (2013) - [c9]Thales Sehn Körting, Emiliano Ferreira Castejon, Leila Maria Garcia Fonseca
:
The Divide and Segment Method for Parallel Image Segmentation. ACIVS 2013: 504-515 - 2012
- [b1]Thales Sehn Körting:
GeoDMA: uma ferramenta para integrar mineração de dados com análise multi-temporal e orientada a objetos de imagens de sensoriamento remoto. National Institute for Space Research, São José dos Campos, Brazil, 2012 - 2011
- [j1]Thales Sehn Körting, Luciano Vieira Dutra, Leila Maria Garcia Fonseca
:
A Resegmentation Approach for Detecting Rectangular Objects in High-Resolution Imagery. IEEE Geosci. Remote. Sens. Lett. 8(4): 621-625 (2011) - [c8]Thales Sehn Körting, Leila Maria Garcia Fonseca
, Gilberto Câmara
:
A Geographical Approach to Self-Organizing Maps Algorithm Applied to Image Segmentation. ACIVS 2011: 162-170 - [c7]Thales Sehn Körting, Emiliano Ferreira Castejon, Leila Maria Garcia Fonseca:
Divide And Segment - An Alternative For Parallel Segmentation. GEOINFO 2011: 97-104 - 2010
- [c6]Thales Sehn Körting, Luciano Vieira Dutra, Guaraci J. Erthal, Leila Maria Garcia Fonseca
:
Assessment of a Modified Version of the EM Algorithm for Remote Sensing Data Classification. CIARP 2010: 476-483
2000 – 2009
- 2009
- [c5]Thales Sehn Körting, Luciano Vieira Dutra, Leila Maria Garcia Fonseca:
Detecting Rectangular Objects in Urban Imagery - A Re-Segmentation Approach. VISAPP (2) 2009: 231-236 - 2008
- [c4]Thales Sehn Körting, Leila Maria Garcia Fonseca
, Maria Isabel Sobral Escada
, Felipe Castro da Silva, Marcelino Pereira dos Santos Silva:
GeoDMA - A Novel System for Spatial Data Mining. ICDM Workshops 2008: 975-978 - [c3]Thales Sehn Körting, Leila Maria Garcia Fonseca
, Fernando Bação
:
Expectation-Maximization x Self-Organizing Maps for Image Classification. SITIS 2008: 359-365 - [c2]Thales Sehn Körting, Leila Maria Garcia Fonseca, Luciano Vieira Dutra, Felipe Castro da Silva:
Image Re-Segmentation - a New Approach Applied to Urban Imagery. VISAPP (1) 2008: 467-472 - 2007
- [c1]Thales Sehn Körting, Luciano Vieira Dutra, Leila Maria Garcia Fonseca, Guaraci J. Erthal, Felipe Castro da Silva:
Improvements to Expectation-Maximization Approach for Unsupervised Classification of Remote Sensing Data. GEOINFO 2007: 3-11
Coauthor Index
aka: Hugo do Nascimento Bendini
aka: Leila Maria Garcia Fonseca
aka: Mikhaela Aloísia Jéssie Santos Pletsch
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