| 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 | 417 | 2021 |
| 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 | 245 | 2020 |
| The segment anything model (sam) for remote sensing applications: From zero to one shot LP Osco, Q Wu, EL De Lemos, WN Gonçalves, APM Ramos, J Li, ... International Journal of Applied Earth Observation and Geoinformation 124 …, 2023 | 178 | 2023 |
| 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 | 176 | 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 | 169 | 2020 |
| Texture analysis and classification using deterministic tourist walk AR Backes, WN Gonçalves, AS Martinez, OM Bruno Pattern Recognition 43 (3), 685-694, 2010 | 151 | 2010 |
| 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 | 149 | 2016 |
| 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 | 146 | 2019 |
| Road extraction in remote sensing data: A survey Z Chen, L Deng, Y Luo, D Li, JM Junior, WN Gonçalves, AAM Nurunnabi, ... International journal of applied earth observation and geoinformation 112 …, 2022 | 139 | 2022 |
| 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 | 137 | 2019 |
| 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 | 135 | 2020 |
| Leaf nitrogen concentration and plant height prediction for maize using UAV-based multispectral imagery and machine learning techniques LP Osco, JM Junior, APM Ramos, DEG Furuya, DC Santana, ... Remote Sensing 12 (19), 3237, 2020 | 126 | 2020 |
| A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery LP Osco, MS de Arruda, DN Gonçalves, A Dias, J Batistoti, M de Souza, ... ISPRS Journal of Photogrammetry and Remote Sensing 174, 1-17, 2021 | 107 | 2021 |
| 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 | 107 | 2016 |
| 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 | 106 | 2020 |
| 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 | 101 | 2020 |
| 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 | 100 | 2020 |
| Deep learning applied to phenotyping of biomass in forages with UAV-based RGB imagery W Castro, J Marcato Junior, C Polidoro, LP Osco, W Gonçalves, ... Sensors 20 (17), 4802, 2020 | 80 | 2020 |
| Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery LP Osco, K Nogueira, AP Marques Ramos, MM Faita Pinheiro, ... Precision Agriculture 22 (4), 1171-1188, 2021 | 72 | 2021 |
| ATSS deep learning-based approach to detect apple fruits LJ Biffi, E Mitishita, V Liesenberg, AA Santos, DN Goncalves, NV Estrabis, ... Remote Sensing 13 (1), 54, 2020 | 68 | 2020 |
Marcato Junior, JoséFederal University of Mato Grosso do SulEmail verificata su ufms.br