Anesmar Olino de Albuquerque

Orcid: 0000-0003-1561-7583

According to our database1, Anesmar Olino de Albuquerque authored at least 19 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Sparse Point Annotations and Iterative Active Learning for Vehicle Detection.
Proceedings of the IGARSS 2024, 2024

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

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

Amodal Segmentation Considering Visible and Non-Visible Elements of Urban Surfaces.
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

Panoptic Segmentation Meets Remote Sensing.
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

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

Panoptic Segmentation Using Multispectral Worldview-3 Images in Beach Areas.
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

Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data.
Remote. Sens., 2020



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