Laura Elena Cue La Rosa
Orcid: 0000-0002-6284-9494
According to our database1,
Laura Elena Cue La Rosa
authored at least 14 papers
between 2017 and 2024.
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Bibliography
2024
IEEE Access, 2024
2023
Learning Crop-Type Mapping From Regional Label Proportions in Large-Scale SAR and Optical Imagery.
IEEE Trans. Geosci. Remote. Sens., 2023
2022
Learning Geometric Features for Improving the Automatic Detection of Citrus Plantation Rows in UAV Images.
IEEE Geosci. Remote. Sens. Lett., 2022
Weak-Supervision Based on Label Proportions for Earth Observation Applications from Optical and Hyperspectral Imagery.
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Deploying an Artificial Intelligence Application to Detect Flood from Sentinel 1 Data.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data.
CoRR, 2021
Evaluation of Unsupervised Deep Clustering Methods for Crop Classification Using SAR Image Sequences.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Investigating Fusion Strategies on Encoder-Decoder Networks for Crop Segmentation Using SAR and Optical Image Sequences.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
End-to-End CNN-CRFs for Multi-date Crop Classification Using Multitemporal Remote Sensing Image Sequences.
Proceedings of the CIKM 2021 Workshops co-located with 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), 2021
2020
Applying Fully Convolutional Architectures for Semantic Segmentation of a Single Tree Species in Urban Environment on High Resolution UAV Optical Imagery.
Sensors, 2020
2019
Combining Deep Learning and Prior Knowledge for Crop Mapping in Tropical Regions from Multitemporal SAR Image Sequences.
Remote. Sens., 2019
2018
Dense Fully Convolutional Networks for Crop Recognition from Multitemporal SAR Image Sequences.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
A Comparative Analysis of Deep Learning Techniques for Sub-Tropical Crop Types Recognition from Multitemporal Optical/SAR Image Sequences.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017