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Laura Elena Cue La Rosa
Laura Elena Cue La Rosa
Zweryfikowany adres z wur.nl
Tytuł
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Cytowane przez
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Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and …
C Sothe, CM De Almeida, MB Schimalski, LEC La Rosa, JDB Castro, ...
GIScience & Remote Sensing 57 (3), 369-394, 2020
1092020
Applying fully convolutional architectures for semantic segmentation of a single tree species in urban environment on high resolution UAV optical imagery
D Lobo Torres, R Queiroz Feitosa, P Nigri Happ, L Elena Cué La Rosa, ...
Sensors 20 (2), 563, 2020
1032020
Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences
JAC Martinez, LEC La Rosa, RQ Feitosa, IDA Sanches, PN Happ
ISPRS Journal of Photogrammetry and Remote Sensing 171, 188-201, 2021
572021
Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery
G Lassalle, MP Ferreira, LEC La Rosa, CR de Souza Filho
ISPRS Journal of Photogrammetry and Remote Sensing 189, 220-235, 2022
352022
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data
LEC La Rosa, C Sothe, RQ Feitosa, CM de Almeida, MB Schimalski, ...
ISPRS Journal of Photogrammetry and Remote Sensing 179, 35-49, 2021
322021
Combining deep learning and prior knowledge for crop mapping in tropical regions from multitemporal SAR image sequences
LE Cué La Rosa, R Queiroz Feitosa, P Nigri Happ, I Del’Arco Sanches, ...
Remote Sensing 11 (17), 2029, 2019
292019
A comparative analysis of deep learning techniques for sub-tropical crop types recognition from multitemporal optical/SAR image sequences
JDB Castro, RQ Feitoza, LC La Rosa, PMA Diaz, IDA Sanches
2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2017
282017
Deep learning-based tree species mapping in a highly diverse tropical urban setting
GB Martins, LEC La Rosa, PN Happ, LCT Coelho Filho, CJF Santos, ...
Urban Forestry & Urban Greening 64, 127241, 2021
252021
A comparison of machine and deep-learning algorithms applied to multisource data for a subtropical forest area classification
C Sothe, CM De Almeida, MB Schimalski, V Liesenberg, LEC La Rosa, ...
International journal of remote sensing 41 (5), 1943-1969, 2020
242020
Evaluation of recurrent neural networks for crop recognition from multitemporal remote sensing images
JD Bermúdez, P Achanccaray, ID Sanches, L Cue, P Happ, RQ Feitosa
Anais do XXVII Congresso Brasileiro de Cartografia, 800-804, 2017
192017
Dense fully convolutional networks for crop recognition from multitemporal SAR image sequences
LEC La Rosa, PN Happ, RQ Feitosa
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018
122018
Advances in multi-and hyperspectral remote sensing of mangrove species: A synthesis and study case on airborne and multisource spaceborne imagery
G Lassalle, MP Ferreira, LEC La Rosa, RDPM Scafutto, ...
ISPRS Journal of Photogrammetry and Remote Sensing 195, 298-312, 2023
102023
Evaluating a convolutional neural network for feature extraction and tree species classification using uav-hyperspectral images
C Sothe, LEC La Rosa, CM De Almeida, A Gonsamo, MB Schimalski, ...
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020
102020
Fcrn-based multi-task learning for automatic citrus tree detection from uav images
LEC La Rosa, M Zortea, BH Gemignani, DAB Oliveira, RQ Feitosa
2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS …, 2020
92020
Deploying an artificial intelligence application to detect flood from sentinel 1 data
P Fraccaro, N Stoyanov, Z Gaffoor, LEC La Rosa, J Singh, T Ishikawa, ...
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12489 …, 2022
82022
Semantic segmentation of endangered tree species in brazilian savanna using deeplabv3+ variants
DL Torres, RQ Feitosa, LEC La Rosa, PN Happ, J Marcato, ...
2020 IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS …, 2020
82020
Learning geometric features for improving the automatic detection of citrus plantation rows in UAV images
LEC La Rosa, DAB Oliveira, M Zortea, BH Gemignani, RQ Feitosa
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020
72020
Learning from label proportions with prototypical contrastive clustering
LEC La Rosa, DAB Oliveira
Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 2153-2161, 2022
62022
Investigating fusion strategies on encoder-decoder networks for crop segmentation using SAR and optical image sequences
LEC La Rosa, DAB Oliveira, RQ Feitosa
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2405 …, 2021
52021
A comparative analysis of deep learning techniques for crop type recognition in temperate and tropical regions from multitemporal sar image sequences
LE Cué, JD Bermudez, ID Sanches, PN Happ, RQ Feitosa
Anais do XXVII Congresso Brasileiro de Cartografia, 2017
42017
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