Osmar Luiz Ferreira de Carvalho
Orcid: 0000-0002-5619-8525
According to our database1,
Osmar Luiz Ferreira de Carvalho
authored at least 24 papers
between 2019 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
Offshore Wind Plant Instance Segmentation Using Sentinel-1 Time Series, GIS, and Semantic Segmentation Models.
CoRR, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
A Data-Centric Approach for Rapid Dataset Generation Using Iterative Learning and Sparse Annotations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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
Rethinking Panoptic Segmentation in Remote Sensing: A Hybrid Approach Using Semantic Segmentation and Non-Learning Methods.
IEEE Geosci. Remote. Sens. Lett., 2022
Detection and classification of whiteflies and development stages on soybean leaves images using an improved deep learning strategy.
Comput. Electron. Agric., 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
Beyond the Visible Pixels Using Semantic Amodal Segmentation in Remote Sensing Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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
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
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019