Search Results - "Negri, Rogerio G."

Wavelet Spatio-Temporal Change Detection on Multitemporal SAR Images by Fonseca, Rodney V., Negri, Rogerio G., Pinheiro, Aluisio, Atto, Abdourrahmane

“…We introduce the WECS (Wavelet Energies Correlation Screening), an unsupervised method to detect spatio-temporal changes on multitemporal SAR images. The…”
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Machine learning framework for modeling flocculation kinetics using non-intrusive dynamic image analysis by Bankole, Abayomi O., Moruzzi, Rodrigo, Negri, Rogerio G., Bressane, Adriano, Reis, Adriano G., Sharifi, Soroosh, James, Abraham O., Bankole, Afolashade R.

“…The implementation of a machine learning (ML) model to improve both the effectiveness and sustainability of the water treatment system is a significant…”
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Unsupervised Multitemporal Triclass Change Detection by Negri, Rogerio G., Frery, Alejandro C., Casaca, Wallace, Gamba, Paolo, Bhattacharya, Avik

“…Change detection is a fundamental task that involves assessing changes in a given region over multiple time periods. It has been widely applied across various…”
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Unsupervised Change Detection Driven by Floating References: A Pattern Analysis Approach by Negri, Rogério G., Frery, Alejandro C.

“…The Earth’s environment is continually changing due to both human and natural factors. Timely identification of the location and kind of change is of paramount…”
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Mapping Burned Areas with Multitemporal–Multispectral Data and Probabilistic Unsupervised Learning by Negri, Rogério G., Luz, Andréa E. O., Frery, Alejandro C., Casaca, Wallace

“…The occurrence of forest fires has increased significantly in recent years across the planet. Events of this nature have resulted in the leveraging of new…”
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A Fully Unsupervised Machine Learning Framework for Algal Bloom Forecasting in Inland Waters Using MODIS Time Series and Climatic Products by Ananias, Pedro Henrique M., Negri, Rogério G., Dias, Maurício A., Silva, Erivaldo A., Casaca, Wallace

“…Progressively monitoring water quality is crucial, as aquatic contaminants can pose risks to human health and other organisms. Machine learning can support the…”
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Mapping Fire Susceptibility in the Brazilian Amazon Forests Using Multitemporal Remote Sensing and Time-Varying Unsupervised Anomaly Detection by Luz, Andréa Eliza O., Negri, Rogério G., Massi, Klécia G., Colnago, Marilaine, Silva, Erivaldo A., Casaca, Wallace

“…The economic and environmental impacts of wildfires have leveraged the development of new technologies to prevent and reduce the occurrence of these…”
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Urban structure type mapping method using spatial metrics and remote sensing imagery classification by Maselli, Luccas Z., Negri, Rogério G.

“…Urban Structure Types (USTs) stand for areas with homogeneous appearance over the urban matrix. The use of spatial metrics rises as a convenient alternative to…”
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WB Score: A Novel Methodology for Visual Classifier Selection in Increasingly Noisy Datasets by Billa, Wagner S., Negri, Rogério G., Santos, Leonardo B. L.

“…This article addresses the challenges of selecting robust classifiers with increasing noise levels in real-world scenarios. We propose the WB Score…”
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Risk Factors Associated with Mortality in Hospitalized Patients with COVID-19 during the Omicron Wave in Brazil by Colnago, Marilaine, Benvenuto, Giovana A, Casaca, Wallace, Negri, Rogério G, Fernandes, Eder G, Cuminato, José A

“…Considering the imminence of new SARS-CoV-2 variants and COVID-19 vaccine availability, it is essential to understand the impact of the disease on the most…”
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A fuzzy-based methodological proposal for analysing green areas in urban neighborhoods by Mota, Maurício T DA, Galvão, Amanda Louisi Dos S, Bressane, Adriano, Negri, Rogério G, Roveda, José Arnaldo F, Roveda, Sandra Regina M M

“…The reduction of the green areas due to the growth of the built-up areas has affected the environmental quality in cities. Nevertheless, some uncertainties…”
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A Fully Unsupervised Deep Learning Framework for Non-Rigid Fundus Image Registration by Benvenuto, Giovana A, Colnago, Marilaine, Dias, Maurício A, Negri, Rogério G, Silva, Erivaldo A, Casaca, Wallace

“…In ophthalmology, the registration problem consists of finding a geometric transformation that aligns a pair of images, supporting eye-care specialists who…”
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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 by Parra, Larissa M. P., Santos, Fabrícia C., Negri, Rogério G., Colnago, Marilaine, Bressane, Adriano, Dias, Maurício A., Casaca, Wallace

“…The Encontro das Águas State Park (EASP), renowned as the world’s largest refuge for Jaguars ( Panthera onca ), is located within the Brazilian portion of the…”
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Region-based classification of PolSAR data using radial basis kernel functions with stochastic distances by Negri, Rogério G., Frery, Alejandro C., Silva, Wagner B., Mendes, Tatiana S. G., Dutra, Luciano V.

“…Region-based classification of PolSAR data can be effectively performed by seeking for the assignment that minimizes a distance between prototypes and…”
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Physical- and Social-Based Rain Gauges—A Case Study on Urban Flood Detection by Hossaki, Vitor Y., Seron, Wilson F. M. S., Negri, Rogério G., Londe, Luciana R., Tomás, Lívia R., Bacelar, Roberta B., Andrade, Sidgley C., Santos, Leonardo B. L.

“…Floods are among the most frequent and costly rainfall-triggered disasters. In this context, geospatial content generated by non-professionals using geolocated…”
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A general and extensible framework for assessing change detection techniques by Negri, Rogério G., Frery, Alejandro C.

“…Change detection techniques play an essential role in Remote Sensing applications, such as environmental monitoring, governmental planning, and studies of…”
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An operational dynamical neuro-forecasting model for hydrological disasters by de Lima, Glauston R. T., Santos, Leonardo B. L., de Carvalho, Tiago J., Carvalho, Adenilson R., Cortivo, Fábio D., Scofield, Graziela B., Negri, Rogério G.

“…In the last decades, artificial neural network has been increasingly applied in hydrological modeling given its potential to process the complex nonlinear…”
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Fire Detection with Multitemporal Multispectral Data and a Probabilistic Unsupervised Technique by Negri, Rogerio G., Andrea Luz, E. O., Frery, Alejandro C., Casaca, Wallace

“…The frequency of forest fires has increased signifi- cantly in recent years across the planet. Events of this nature motivate the development of automated…”
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Automatically Detecting Textual Content in High-Resolution Images by Basso, Dayara, Colnago, Marilaine, Azevedo, Samara, Negri, Rogerio G., Casaca, Wallace

“…Classifying targets in satellite images is a nontrivial task which requires dealing with a large number of undesirable elements such as clouds, building…”
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