Tainá T. Guimarães

Orcid: 0000-0002-6362-6591

According to our database1, Tainá T. Guimarães authored at least 13 papers between 2018 and 2023.

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

Timeline

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Links

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Bibliography

2023
An assisted multi-frame approach for super-resolution in hyperspectral images of rock samples.
Comput. Geosci., December, 2023

Evaluation of Resampling Techniques to Provide Better Synthesized Input Data to Super-Resolution Deep Learning Model Training.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Immersive Paleontological Experience Through Virtual and Augmented Reality Representation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
A Nondestructive Alternative for Kerogen Type Determination in Potential Hydrocarbon Source Rocks Using Hyperspectral Data and Machine Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Lithofacies Analysis from Digital Outcrop Models.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
A Multi-Looking Approach for Spatial Super-Resolution on Laboratory-Based Hyperspectral Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Vizspectraldata: a WEB-Based Application for Hyperspectral Data Visualization.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Mosis Lab Hyperspectral - Visualization and Correlation of Hyperspectral Data on Immersive Virtual Reality.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Kerogen Type Classification in Hydrocarbon Source Rocks Using Hyperspectral Data and Machine Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
A Method for Chlorophyll-a and Suspended Solids Prediction through Remote Sensing and Machine Learning.
Sensors, 2020

A Quantitative Analysis on Different Carbonate Indicators Based on Spaceborne Data in a Controlled Karst Area.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Prediction of chlorophyll-a and suspended solids through remote sensing and artificial neural networks.
Proceedings of the 13th International Conference on Sensing Technology, 2019

2018
Proposal of a Method to Determine the Correlation between Total Suspended Solids and Dissolved Organic Matter in Water Bodies from Spectral Imaging and Artificial Neural Networks.
Sensors, 2018


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