Tainá T. Guimarães
Orcid: 0000-0002-6362-6591
According to our database1,
Tainá T. Guimarães
authored at least 13 papers
between 2018 and 2023.
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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
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
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