Daliana Lobo Torres
Daliana Lobo Torres
Pontificia Universidad Católica de Río de Janeiro
Zweryfikowany adres z ele.puc-rio.br
Tytuł
Cytowane przez
Cytowane przez
Rok
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 Cue La Rosa, ...
Sensors 20 (2), 563, 2020
422020
Biological activity of liposomal vanillin
L Castan, G Del Toro, AA Fernández, M González, E Ortíz, D Lobo
Journal of medicinal food 16 (6), 551-557, 2013
92013
Atrous cGAN for SAR to Optical Image Translation
JN Turnes, JDB Castro, DL Torres, PJS Vega, RQ Feitosa, PN Happ
IEEE Geoscience and Remote Sensing Letters, 2020
42020
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
22020
Encapsulación del 4-Hidroxi-3-metoxibenzaldehído en liposomas modificados con 1-O-alquilgliceroles sintéticos: estudio de su reactividad con el radical DPPH
L Castan-Chibás, G del Toro-García, AA Fernández-García, ...
Revista Cubana de Química 24 (1), 83-90, 2012
22012
Evaluation of Unsupervised Deep Clustering Methods for Crop Classification Using SAR Image Sequences
DL Torres, LEC La Rosa, DAB Oliveira, RQ Feitosa
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 4240 …, 2021
2021
Investigations on Feature Similarity and the Impact of Training Data for Land Cover Classification
M Voelsen, DL Torres, RQ Feitosa, F Rottensteiner, C Heipke
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2021
2021
Applying Fully Convolutional Architectures for the Semantic Segmentation of UAV, Airborn, and Satellite Remote Sensing Imagery
DL Torres
PUC-Rio, 2020
2020
Deep Learning for Computer Vision-2021 Project Proposal
DL Torres
Semantic Segmentation of Cumbaru Crown using high resolution remote sensing images.
DL Torres, LEC La Rosa, RQ Feitosa
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