Article
Facing the Void: Overcoming Missing Data in Multi-View Imagery
Machado G, Pereira MB, Nogueira K & Dos Santos JA (2022) Facing the Void: Overcoming Missing Data in Multi-View Imagery. IEEE Access. https://doi.org/10.1109/access.2022.3231617
Article
An Introduction to Deep Morphological Networks
Nogueira K, Chanussot J, Mura MD & Dos Santos JA (2021) An Introduction to Deep Morphological Networks. IEEE Access, 9, pp. 114308-114324. https://doi.org/10.1109/access.2021.3104405
Article
AiRound and CV-BrCT: Novel Multiview Datasets for Scene Classification
Machado G, Ferreira E, Nogueira K, Oliveira H, Brito M, Gama PHT & Santos JAd (2021) AiRound and CV-BrCT: Novel Multiview Datasets for Scene Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, pp. 488-503. https://doi.org/10.1109/JSTARS.2020.3033424
Conference Proceeding
Security and Forensics Exploration of Learning-based Image Coding
Bhowmik D, Elawady M & Nogueira K (2021) Security and Forensics Exploration of Learning-based Image Coding. In: 2021 IEEE International Conference on Visual Communications and Image Processing (VCIP). Visual Communications and Image Processing (VCIP 2021), Munich, 05.12.2021-08.12.2021. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/VCIP53242.2021.9675445
Article
Noninvasive Low-cost Method to Identify Armadillos' Burrows: A Machine Learning Approach
Rodrigues TF, Nogueira K & Chiarello AG (2021) Noninvasive Low-cost Method to Identify Armadillos' Burrows: A Machine Learning Approach. Wildlife Society Bulletin, 45 (3), pp. 396-401. https://doi.org/10.1002/wsb.1222
Article
Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery
Osco LP, Nogueira K, Marques Ramos AP, Faita Pinheiro MM, Furuya DEG, Gonçalves WN, de Castro Jorge LA, Marcato Junior J & dos Santos JA (2021) Semantic segmentation of citrus-orchard using deep neural networks and multispectral UAV-based imagery. Precision Agriculture, 22 (4), pp. 1171-1188. https://doi.org/10.1007/s11119-020-09777-5
Article
Semantic segmentation of tree-canopy in urban environment with pixel-wise deep learning
Martins JAC, Nogueira K, Osco LP, Gomes FDG, Furuya DEG, Gonçalves WN, Sant’ana DA, Ramos APM, Liesenberg V, dos Santos JA, de Oliveira PTS & Marcato Junior J (2021) Semantic segmentation of tree-canopy in urban environment with pixel-wise deep learning. Remote Sensing, 13 (16), Art. No.: 3054. https://doi.org/10.3390/rs13163054
Article
Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images
Zamboni P, Marcato Junior J, de Andrade Silva J, Miyoshi GT, Matsubara ET, Nogueira K & Gonçalves WN (2021) Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images. Remote Sensing, 13 (13), Art. No.: 2482. https://doi.org/10.3390/rs13132482
Conference Proceeding
Towards Open-Set Semantic Segmentation of Aerial Images
da Silva CCV, Nogueira K, Oliveira HN & dos Santos JA (2020) Towards Open-Set Semantic Segmentation of Aerial Images. In: 2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020. IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS 2020), Santiago, Chile, 21.03.2020-26.03.2020. Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers Inc. pp. 16-21. https://doi.org/10.1109/LAGIRS48042.2020.9165597
Article
Facing Erosion Identification in Railway Lines Using Pixel-wise Deep-based Approaches
Nogueira K, Machado GLS, Gama PHT, Da Silva CCV, Balaniuk R & Santos JAD (2020) Facing Erosion Identification in Railway Lines Using Pixel-wise Deep-based Approaches. Remote Sensing, 12 (4), Art. No.: 739. https://doi.org/10.3390/rs12040739
Article
Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks
Nogueira K, dos Santos JA, Menini N, Silva TSF, Morellato LPC & da S Torres R (2019) Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks. IEEE Geoscience and Remote Sensing Letters, 16 (10), pp. 1665-1669. https://doi.org/10.1109/lgrs.2019.2903194
Article
Dynamic Multicontext Segmentation of Remote Sensing Images Based on Convolutional Networks
Nogueira K, Dalla Mura M, Chanussot J, Schwartz WR & dos Santos JA (2019) Dynamic Multicontext Segmentation of Remote Sensing Images Based on Convolutional Networks. IEEE Transactions on Geoscience and Remote Sensing, 57 (10), pp. 7503-7520. https://doi.org/10.1109/tgrs.2019.2913861
Article
Exploiting ConvNet Diversity for Flooding Identification
Nogueira K, Fadel SG, Dourado IC, Werneck RdO, Munoz JAV, Penatti OAB, Calumby RT, Li LT, dos Santos JA & Torres RdS (2018) Exploiting ConvNet Diversity for Flooding Identification. IEEE Geoscience and Remote Sensing Letters, 15 (9), pp. 1446-1450. https://doi.org/10.1109/lgrs.2018.2845549
Article
Towards better exploiting convolutional neural networks for remote sensing scene classification
Nogueira K, Penatti OAB & dos Santos JA (2017) Towards better exploiting convolutional neural networks for remote sensing scene classification. Pattern Recognition, 61, pp. 539-556. https://doi.org/10.1016/j.patcog.2016.07.001
Conference Proceeding
Learning to semantically segment high-resolution remote sensing images
Nogueira K, Dalla Mura M, Chanussot J, Schwartz WR & dos Santos JA (2016) Learning to semantically segment high-resolution remote sensing images. In: 2016 23rd International Conference on Pattern Recognition (ICPR) Proceedings. 2016 23rd International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 04.12.2016-08.12.2016. Piscataway, NJ: IEEE, pp. 3566-3571. https://doi.org/10.1109/icpr.2016.7900187
Article
Pointwise and pairwise clothing annotation: combining features from social media
Nogueira K, Veloso AA & dos Santos JA (2016) Pointwise and pairwise clothing annotation: combining features from social media. Multimedia Tools and Applications, 75 (7), pp. 4083-4113. https://doi.org/10.1007/s11042-015-3087-2
Conference Proceeding
Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?
Penatti OAB, Nogueira K & dos Santos JA (2015) Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2015, Boston, MA, USA, 07.06.2015-12.06.2015. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/cvprw.2015.7301382