Wesley Nunes Gonçalves
Wesley Nunes Gonçalves
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Texture analysis and classification using deterministic tourist walk
AR Backes, WN Gonçalves, AS Martinez, OM Bruno
Pattern Recognition 43 (3), 685-694, 2010
Assessment of CNN-based methods for individual tree detection on images captured by RGB cameras attached to UAVs
AA Santos, J Marcato Junior, MS Araújo, DR Di Martini, EC Tetila, ...
Sensors 19 (16), 3595, 2019
A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery
LP Osco, MS De Arruda, JM Junior, NB Da Silva, APM Ramos, ...
ISPRS Journal of Photogrammetry and Remote Sensing 160, 97-106, 2020
BioLeaf: A professional mobile application to measure foliar damage caused by insect herbivory
BB Machado, JPM Orue, MS Arruda, CV Santos, DS Sarath, ...
Computers and electronics in agriculture 129, 44-55, 2016
Local descriptors for soybean disease recognition
RDL Pires, DN Gonçalves, JPM Oruê, WES Kanashiro, JF Rodrigues Jr, ...
Computers and Electronics in Agriculture 125, 48-55, 2016
Investigation of AISI 1040 steel corrosion in H2S solution containing chloride ions by digital image processing coupled with electrochemical techniques
AM Zimer, EC Rios, PCD Mendes, WN Gonçalves, OM Bruno, EC Pereira, ...
Corrosion Science 53 (10), 3193-3201, 2011
A random forest ranking approach to predict yield in maize with uav-based vegetation spectral indices
APM Ramos, LP Osco, DEG Furuya, WN Gonçalves, DC Santana, ...
Computers and Electronics in Agriculture 178, 105791, 2020
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
Mice and larvae tracking using a particle filter with an auto-adjustable observation model
H Pistori, VVVA Odakura, JBO Monteiro, WN Gonçalves, AR Roel, ...
Pattern Recognition Letters 31 (4), 337-346, 2010
A novel deep learning method to identify single tree species in UAV-based hyperspectral images
GT Miyoshi, MS Arruda, LP Osco, J Marcato Junior, DN Gonçalves, ...
Remote Sensing 12 (8), 1294, 2020
A complex network approach for dynamic texture recognition
WN Gonçalves, BB Machado, OM Bruno
Neurocomputing 153, 211-220, 2015
Predicting canopy nitrogen content in citrus-trees using random forest algorithm associated to spectral vegetation indices from UAV-imagery
L Prado Osco, AP Marques Ramos, D Roberto Pereira, ...
Remote Sensing 11 (24), 2925, 2019
Landslide detection of hyperspectral remote sensing data based on deep learning with constrains
C Ye, Y Li, P Cui, L Liang, S Pirasteh, J Marcato, WN Goncalves, J Li
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters
S Pan, H Guan, Y Chen, Y Yu, WN Gonçalves, JM Junior, J Li
ISPRS Journal of Photogrammetry and Remote Sensing 166, 241-254, 2020
A rotation invariant face recognition method based on complex network
WN Gonçalves, J Andrade Silva, OM Bruno
Iberoamerican Congress on Pattern Recognition, 426-433, 2010
A review on deep learning in UAV remote sensing
LP Osco, JM Junior, APM Ramos, LA de Castro Jorge, SN Fatholahi, ...
International Journal of Applied Earth Observation and Geoinformation 102 …, 2021
A machine learning framework to predict nutrient content in valencia-orange leaf hyperspectral measurements
LP Osco, APM Ramos, MM Faita Pinheiro, ÉAS Moriya, NN Imai, ...
Remote Sensing 12 (6), 906, 2020
Estimating soybean leaf defoliation using convolutional neural networks and synthetic images
LA da Silva, PO Bressan, DN Gonçalves, DM Freitas, BB Machado, ...
Computers and electronics in agriculture 156, 360-368, 2019
Spatiotemporal gabor filters: a new method for dynamic texture recognition
WN Gonçalves, BB Machado, OM Bruno
arXiv preprint arXiv:1201.3612, 2012
Combining fractal and deterministic walkers for texture analysis and classification
WN Gonçalves, OM Bruno
Pattern Recognition 46 (11), 2953-2968, 2013
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