Thales Sehn Körting
Thales Sehn Körting
Researcher at Brazil's National Institute for Space Research (INPE)
Zweryfikowany adres z inpe.br - Strona główna
Tytuł
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C4. 5 algorithm and multivariate decision trees
TS Korting
Image Processing Division, National Institute for Space Research–INPE Sao …, 2006
1072006
GeoDMA - Geographic Data Mining Analyst: A framework for GIScience
TS Korting, LMG Fonseca, G Câmara
Computers & Geosciences 57, 133-145, 2013
91*2013
Land-cover classification of an intra-urban environment using high-resolution images and object-based image analysis
CMD de Pinho, LMG Fonseca, TS Korting, CM De Almeida, HJH Kux
International Journal of Remote Sensing 33 (19), 5973-5995, 2012
852012
GeoDMA-A novel system for spatial data mining
TS Korting, LMG Fonseca, MIS Escada, FC da Silva, MP dos Santos Silva
2008 IEEE International Conference on Data Mining Workshops, 975-978, 2008
312008
Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series
H do Nascimento Bendini, LMG Fonseca, M Schwieder, TS Körting, ...
International Journal of Applied Earth Observation and Geoinformation 82, 101872, 2019
202019
Using Landsat 8 image time series for crop mapping in a region of Cerrado, Brazil.
HN Bendini, ID Sanches, TS Körting, LMG Fonseca, AJB Luiz, ...
Embrapa Meio Ambiente-Artigo em anais de congresso (ALICE), 2016
192016
A resegmentation approach for detecting rectangular objects in high-resolution imagery
TS Korting, LV Dutra, LMG Fonseca
IEEE Geoscience and Remote Sensing Letters 8 (4), 621-625, 2011
172011
Water body extraction from Rapideye images: An automated methodology based on hue component of color transformation from RGB to HSV model
LM Namikawa, TS Körting, EF Castejon
Revista Brasileira de Cartografia 68 (6), 2016
162016
Efeitos da mudança de escala em padrões de desmatamento na Amazônia
A Saito, LMG Fonseca, MIS Escada, TS Korting
Revista Brasileira de Cartografia 63 (3), 2011
162011
A spatio-temporal Bayesian Network approach for deforestation prediction in an Amazon rainforest expansion frontier
ACO Silva, LMG Fonseca, TS Körting, MIS Escada
Spatial Statistics 35, 100393, 2020
132020
The divide and segment method for parallel image segmentation
TS Körting, EF Castejon, LMG Fonseca
International Conference on Advanced Concepts for Intelligent Vision Systems …, 2013
132013
Earth observation data cubes for Brazil: Requirements, methodology and products
KR Ferreira, GR Queiroz, L Vinhas, RFB Marujo, REO Simoes, MCA Picoli, ...
Remote Sensing 12 (24), 4033, 2020
112020
Combining time series features and data mining to detect land cover patterns: a case study in northern Mato Grosso state, Brazil
AK Neves, H do Nascimento Bendini, TS Korting, LMG Fonseca
Revista Brasileira de Cartografia 68 (6), 2016
112016
Spectral indices and multi-temporal change image detection algorithms for burned area extraction in the Brazilian Cerrado
AE Melchiori, PA Candido, R Libonati, F Morelli, A Setzer, SC de Jesus, ...
Anais XVII Simpsio Brasileiro de Sensoramiento Remoto, Joao Pessoa-PB, Brasil, 2015
112015
Improvements in sample selection methods for image classification
TS Körting, LMG Fonseca, EF Castejon, LM Namikawa
Remote Sensing 6 (8), 7580-7591, 2014
112014
GeoDMA: um sistema para mineração de dados de sensoriamento remoto
TS Korting, LMG Fonseca, MIS Escada, G Câmara
Simpósio Brasileiro de Sensoriamento Remoto 14, 7813-7820, 2009
112009
Classificação de imagens por regiões
TS KÖRTING
São José dos Campos, 2006
112006
Spatio-temporal deep learning approach to map deforestation in amazon rainforest
RV Maretto, LMG Fonseca, N Jacobs, TS Körting, HN Bendini, LL Parente
IEEE Geoscience and Remote Sensing Letters 18 (5), 771-775, 2020
102020
Automatic tree crown delineation in tropical forest using hyperspectral data
MP Ferreira, DC Zanotta, M Zortea, TS Körting, LMG Fonseca, ...
2014 IEEE Geoscience and Remote Sensing Symposium, 784-787, 2014
92014
Divide And Segment-An Alternative For Parallel Segmentation.
TS Körting, EF Castejon, LMG Fonseca
GeoInfo, 97-104, 2011
92011
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