Rogério Galante Negri
Orcid: 0000-0002-4808-2362Affiliations:
- São Paulo State University (UNESP), Department of Environmental Engineering, São José dos Campos, SP, Brazil
- National Institute for Space Research, São José dos Campos, Brazil (PhD 2013)
According to our database1,
Rogério Galante Negri
authored at least 38 papers
between 2011 and 2023.
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Bibliography
2023
Analyzing the spatial interactions between rainfall levels and flooding prediction in São Paulo.
Trans. GIS, December, 2023
Associating Anomaly Detection Strategy Based on Kittler's Taxonomy with Image Editing to Extend the Mapping of Polluted Water Bodies.
Remote. Sens., December, 2023
Assessing the impacts of catastrophic 2020 wildfires in the Brazilian Pantanal using MODIS data and Google Earth Engine: A case study in the world's largest sanctuary for Jaguars.
Earth Sci. Informatics, December, 2023
ABF: A data-driven approach for algal bloom forecasting using machine intelligence and remotely sensed data series.
Softw. Impacts, September, 2023
Comput. Geosci., September, 2023
Dimensionality Reduction and Anomaly Detection Based on Kittler's Taxonomy: Analyzing Water Bodies in Two Dimensional Spaces.
Remote. Sens., August, 2023
Softw. Impacts, March, 2023
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Learning label diffusion maps for semi-automatic segmentation of lung CT images with COVID-19.
Neurocomputing, 2023
Robust Seeded Image Segmentation Using Adaptive Label Propagation and Deep Learning-Based Contour Orientation.
Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023
2022
Mapping Burned Areas with Multitemporal-Multispectral Data and Probabilistic Unsupervised Learning.
Remote. Sens., 2022
Mapping Fire Susceptibility in the Brazilian Amazon Forests Using Multitemporal Remote Sensing and Time-Varying Unsupervised Anomaly Detection.
Remote. Sens., 2022
A Machine Learning Strategy Based on Kittler's Taxonomy to Detect Anomalies and Recognize Contexts Applied to Monitor Water Bodies in Environments.
Remote. Sens., 2022
A Fully Unsupervised Machine Learning Framework for Algal Bloom Forecasting in Inland Waters Using MODIS Time Series and Climatic Products.
Remote. Sens., 2022
Mapeamento da susceptibilidade à incêndios através de Sensoriamento Remoto no município de Cáceres.
Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022
Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022
Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022
Remote sensing and machine learning on anomaly detection at high spectral and temporal dynamics regions in Brazil.
Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022
2021
Spectral-Spatial-Aware Unsupervised Change Detection With Stochastic Distances and Support Vector Machines.
IEEE Trans. Geosci. Remote. Sens., 2021
Unsupervised Change Detection Driven by Floating References: A Pattern Analysis Approach.
Pattern Anal. Appl., 2021
Urban structure type mapping method using spatial metrics and remote sensing imagery classification.
Earth Sci. Informatics, 2021
Anomalous behaviour detection using one-class support vector machine and remote sensing images: a case study of algal bloom occurrence in inland waters.
Int. J. Digit. Earth, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Description of land cover and susceptibility to fire in forest areas using spatial metrics.
Proceedings of the XXII Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, online, November 29, 2021
Anomaly detection based method for spatio-temporal dynamics mapping in dam mining regions.
Proceedings of the XXII Brazilian Symposium on Geoinformatics - GEOINFO 2020, São José dos Campos, SP, Brazil, online, November 29, 2021
2020
A Meta-Methodology for Improving Land Cover and Land Use Classification with SAR Imagery.
Remote. Sens., 2020
An Incongruence-Based Anomaly Detection Strategy for Analyzing Water Pollution in Images from Remote Sensing.
Remote. Sens., 2020
The 2019 Brumadinho tailings dam collapse: Possible cause and impacts of the worst human and environmental disaster in Brazil.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances.
Int. J. Digit. Earth, 2019
2018
Inducing Contextual Classifications With Kernel Functions Into Support Vector Machines.
IEEE Geosci. Remote. Sens. Lett., 2018
2017
Region-Based Classification of PolSAR Data Through Kernel Methods and Stochastic Distances.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017
2016
Exploring the Capability of ALOS PALSAR L-Band Fully Polarimetric Data for Land Cover Classification in Tropical Environments.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016
2013
Context Adaptive Support Vector Machine: formalization and Remote Sensing Applications.
PhD thesis, 2013
Aplicação de Modelos de Aprendizado Semissupervisionado na Classificação de Imagens de Sensoriamento Remoto.
RITA, 2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2012
Support Vector Machine and Bhattacharrya kernel function for region based classification.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012
2011
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011