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Laura Elena Cué La Rosa
ORCID
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 7
Top Topics
Convolutional Network
Partially Supervised
Fusion Strategies
Hyperspectral Imagery
Top Venues
IGARSS
CoRR
IEEE Geosci. Remote. Sens. Lett.
IEEE Trans. Geosci. Remote. Sens.
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Publications
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Laura Elena Cué La Rosa
,
Dário Augusto Borges Oliveira
,
Pedram Ghamisi
Learning Crop-Type Mapping From Regional Label Proportions in Large-Scale SAR and Optical Imagery.
IEEE Trans. Geosci. Remote. Sens.
61 (2023)
Laura Elena Cué La Rosa
,
Dário Augusto Borges Oliveira
Learning from Label Proportions with Prototypical Contrastive Clustering.
AAAI
(2022)
Laura Elena Cué La Rosa
,
Dário A. B. Oliveira
,
Maciel Zortea
,
Bruno Holtz Gemignani
,
Raul Queiroz Feitosa
Learning Geometric Features for Improving the Automatic Detection of Citrus Plantation Rows in UAV Images.
IEEE Geosci. Remote. Sens. Lett.
19 (2022)
Laura Elena Cué La Rosa
,
Dário Augusto Borges Oliveira
,
Samuel T. Thiele
,
Pedram Ghamisi
,
Richard Gloaguen
Weak-Supervision Based on Label Proportions for Earth Observation Applications from Optical and Hyperspectral Imagery.
CDCEO@IJCAI
(2022)
Daliana Lobo Torres
,
Laura Elena Cué La Rosa
,
D. A. B. Oliveira
,
Raul Queiroz Feitosa
Evaluation of Unsupervised Deep Clustering Methods for Crop Classification Using SAR Image Sequences.
IGARSS
(2021)
Laura Elena Cué La Rosa
,
Dário A. B. Oliveira
,
Raul Queiroz Feitosa
Investigating Fusion Strategies on Encoder-Decoder Networks for Crop Segmentation Using SAR and Optical Image Sequences.
IGARSS
(2021)
Laura Elena Cué La Rosa
,
Camile Sothe
,
Raul Queiroz Feitosa
,
Cláudia Maria de Almeida
,
Marcos Benedito Schimalski
,
Dário Augusto Borges Oliveira
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data.
CoRR
(2021)