Erivaldo Antonio da Silva
Orcid: 0000-0002-7069-0479
According to our database1,
Erivaldo Antonio da Silva
authored at least 17 papers
between 2004 and 2024.
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Bibliography
2024
Automatic Detection of Swiss Cheese Polar Patterns on Mars Using Very High-Resolution Remote Sensing Images.
Proceedings of the IGARSS 2024, 2024
2023
ABF: A data-driven approach for algal bloom forecasting using machine intelligence and remotely sensed data series.
Softw. Impacts, September, 2023
2022
Mapping Fire Susceptibility in the Brazilian Amazon Forests Using Multitemporal Remote Sensing and Time-Varying Unsupervised Anomaly Detection.
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
2021
Spectral-Spatial-Aware Unsupervised Change Detection With Stochastic Distances and Support Vector Machines.
IEEE Trans. Geosci. Remote. Sens., 2021
Combining morphological filtering, anisotropic diffusion and block-based data replication for automatically detecting and recovering unscanned gaps in remote sensing images.
Earth Sci. Informatics, 2021
2020
An Incongruence-Based Anomaly Detection Strategy for Analyzing Water Pollution in Images from Remote Sensing.
Remote. Sens., 2020
A nonrecursive GR algorithm to extract road networks in high-resolution images from remote sensing.
Earth Sci. Informatics, 2020
Comparing the Performance of Mathematical Morphology and Bhattacharyya Distance for Airport Extraction.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2018
Statistical Evaluation and Analysis of Road Extraction Methodologies Using a Unique Dataset from Remote Sensing.
Remote. Sens., 2018
Inducing Contextual Classifications With Kernel Functions Into Support Vector Machines.
IEEE Geosci. Remote. Sens. Lett., 2018
2017
Assessing 2016 drought progression over India using remote sensing data for the period 2006-2015.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 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
2015
Proceedings of the 9th International Symposium on Image and Signal Processing and Analysis, 2015
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015
2011
A Study on Automatic Methods Based on Mathematical Morphology for Martian Dust Devil Tracks Detection.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011
2004
Proceedings of the Progress in Pattern Recognition, 2004