Roberto Arnaldo Trancoso Gomes
Orcid: 0000-0003-4724-4064
According to our database1,
Roberto Arnaldo Trancoso Gomes
authored at least 37 papers
between 2003 and 2023.
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Bibliography
2023
A Data-Centric Approach for Wind Plant Instance-Level Segmentation Using Semantic Segmentation and GIS.
Remote. Sens., March, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Bounding Box-Free Instance Segmentation Using Semi-Supervised Iterative Learning for Vehicle Detection.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Comparing Machine and Deep Learning Methods for the Phenology-Based Classification of Land Cover Types in the Amazon Biome Using Sentinel-1 Time Series.
Remote. Sens., 2022
Estimating the Optimal Threshold for Accuracy Assessment of the Global Ecosystem Dynamics Investigation (GEDI) Data in a Gentle Relief Urban Area.
Remote. Sens., 2022
Deep-water oil-spill monitoring and recurrence analysis in the Brazilian territory using Sentinel-1 time series and deep learning.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Multispectral panoptic segmentation: Exploring the beach setting with worldview-3 imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Dealing With Clouds and Seasonal Changes for Center Pivot Irrigation Systems Detection Using Instance Segmentation in Sentinel-2 Time Series.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Instance Segmentation for Large, Multi-Channel Remote Sensing Imagery Using Mask-RCNN and a Mosaicking Approach.
Remote. Sens., 2021
Instance Segmentation for Governmental Inspection of Small Touristic Infrastructure in Beach Zones Using Multispectral High-Resolution WorldView-3 Imagery.
ISPRS Int. J. Geo Inf., 2021
Bounding Box-Free Instance Segmentation Using Semi-Supervised Learning for Generating a City-Scale Vehicle Dataset.
CoRR, 2021
2020
Rice Crop Detection Using LSTM, Bi-LSTM, and Machine Learning Models from Sentinel-1 Time Series.
Remote. Sens., 2020
Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks.
Remote. Sens., 2020
Performance Analysis of Deep Convolutional Autoencoders with Different Patch Sizes for Change Detection from Burnt Areas.
Remote. Sens., 2020
Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data.
Remote. Sens., 2020
Comparison of Post-fire Patterns in Brazilian Savanna and Tropical Forest from Remote Sensing Time Series.
ISPRS Int. J. Geo Inf., 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Effects of Long-Term Fire Exclusion in the Modis NDVI Time Series in the Águas Emendadas Ecological Station, Brazil.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Burned-Area Detection in Amazonian Environments Using Standardized Time Series Per Pixel in MODIS Data.
Remote. Sens., 2018
2017
Determination of Areas Susceptible to Landsliding Using Spatial Patterns of Rainfall from Tropical Rainfall Measuring Mission Data, Rio de Janeiro, Brazil.
ISPRS Int. J. Geo Inf., 2017
2015
Standardized Time-Series and Interannual Phenological Deviation: New Techniques for Burned-Area Detection Using Long-Term MODIS-NBR Dataset.
Remote. Sens., 2015
2014
Probability Density Components Analysis: A New Approach to Treatment and Classification of SAR Images.
Remote. Sens., 2014
Spatial Patterns of Fire Recurrence Using Remote Sensing and GIS in the Brazilian Savanna: Serra do Tombador Nature Reserve, Brazil.
Remote. Sens., 2014
Karst Depression Detection Using ASTER, ALOS/PRISM and SRTM-Derived Digital Elevation Models in the Bambuí Group, Brazil.
Remote. Sens., 2014
2013
Remote. Sens., 2013
Radiometric Normalization of Temporal Images Combining Automatic Detection of Pseudo-Invariant Features from the Distance and Similarity Spectral Measures, Density Scatterplot Analysis, and Robust Regression.
Remote. Sens., 2013
2011
Remote. Sens., 2011
2010
Identification of areas prone to shallow landslide in Parque Nacional da Serra dos Órgãos (Brazil) considering seasonal rainfall.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010
2007
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
Identification of the affected areas by mass movement through a physically based model of landslide hazard combined with a two-dimensional flood routing model for simulating debris flow.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007
2006
Normalization of Multi-Temporal Images Using a New Change Detection Method Based on the Spectral Classifier.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006
2004
Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004
2003
Application of the SHALSTAB model for mapping susceptible landslide areas in mine zone (Quadrilátero Ferrífero in southeast Brazil).
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003