Fernando Pellon de Miranda

According to our database1, Fernando Pellon de Miranda authored at least 20 papers between 1998 and 2023.

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

Timeline

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Bibliography

2023
Development and Application of Predictive Models to Distinguish Seepage Slicks from Oil Spills on Sea Surfaces Employing SAR Sensors and Artificial Intelligence: Geometric Patterns Recognition under a Transfer Learning Approach.
Remote. Sens., March, 2023

2021
Improved Classification Models to Distinguish Natural from Anthropic Oil Slicks in the Gulf of Mexico: Seasonality and Radarsat-2 Beam Mode Effects under a Machine Learning Approach.
Remote. Sens., 2021

2019
Oil-Slick Category Discrimination (Seeps vs. Spills): A Linear Discriminant Analysis Using RADARSAT-2 Backscatter Coefficients (σ°, β°, and γ°) in Campeche Bay (Gulf of Mexico).
Remote. Sens., 2019

2017
Sea Wind Extraction From RADARSAT-2 and Scatterometer Data Over the Gulf of Mexico.
IEEE Geosci. Remote. Sens. Lett., 2017

Exploratory Data Analysis of Synthetic Aperture Radar (SAR) Measurements to Distinguish the Sea Surface Expressions of Naturally-Occurring Oil Seeps from Human-Related Oil Spills in Campeche Bay (Gulf of Mexico).
ISPRS Int. J. Geo Inf., 2017

Environmental sensitivity map of Solimões River basin using SAR images and fuzzy modeling.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2017

2014
Urban subsidence as a local response of Amazonas river flooding observed by satellite SAR interferometry.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2009
MAPSAR Image Simulation Based on L-band Polarimetric Data from the SAR-R99B Airborne Sensor (SIVAM System).
Sensors, 2009

Operational Applications of RADARSAT-2 for the Environmental Monitoring of Oil Slicks in the Southern Gulf of Mexico.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2007
Cantarell natural seep modelling using SAR derived ocean surface wind and meteo- oceanographic buoy data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

A multi-sensor approach and ranking analysis procedure for oil seeps detection in marine environments.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

The mega capture of the negro river, central amazônia, brazil: a novel feature revealed by SRTM data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

2004
Generation of multi-temporal JERS-1 SAR mosaics over the Manaus-Coari-Urucu Region, Western Amazonia, Brazil.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

Environmental sensitivity mapping for oil spill in the Amazon coast using remote sensing and GIS technology.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

Use of genetic algorithm to identify the source point of seepage slick clusters interpreted from Radarsat-1 images in the Gulf of Mexico.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

Exploration assessment in a petroleum frontier area offshore the Amazon River mouth using RADARSAT-1 images.
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

2003
Operational applications of RADARSAT-1 for the monitoring of natural oil seeps in the South Gulf of Mexico.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

Assessment of environmental sensitivity index of flooding areas in western Amazonia using fuzzy logic in the dual season GRFM JERS-1 SAR image mosaics.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

2002
Left- and right-looking RADARSAT-2 data for mosaics of ancient supercontinents.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

1998
The semivariogram in comparison to the co-occurrence matrix for classification of image texture.
IEEE Trans. Geosci. Remote. Sens., 1998


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