Welkom...

dr. R. Vargas Maretto (Raian)

Universitair docent

Expertises

Engineering & Materials Science
Agriculture
Deep Learning
Deforestation
Image Analysis
Remote Sensing
Earth & Environmental Sciences
Cerrado
Deforestation
Learning

Publicaties

Recent
Matosak, B. M., Fonseca, L. M. G., Taquary, E. C. , Maretto, R. V., Bendini, H. D. N., & Adami, M. (2022). Mapping Deforestation in Cerrado Based on Hybrid Deep Learning Architecture and Medium Spatial Resolution Satellite Time Series. Remote sensing, 14(1), [209]. https://doi.org/10.3390/rs14010209
Bendini, H. N., Fonseca, L. M. G. , Maretto, R. V., Matosak, B. M., Taquary, E. C., Haidar, R. F., & Valeriano, D. D. M. (2021). Exploring a deep convolutional neural network and GEOBIA for automatic recognition of Brazilian Palm Swamps (Veredas) using Sentinel-2 optical data. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 5401-5404). IEEE. https://doi.org/10.1109/igarss47720.2021.9554050
Taquary, E. C., Fonseca, L. M. G. , Maretto, R. V., Bendini, H. N., Matosak, B. M., Sant'Anna, S. J. S., & Mura, J. C. (2021). Detecting clearcut deforestation employing deep learning methods and SAR time series. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 4520-4523). IEEE. https://doi.org/10.1109/igarss47720.2021.9554383
Fonseca, L. M. G., K├Ârting, T. S., Bendini, H. N., Girolamo Neto, C. D., Neves, A. K., Soares, A. R., Taquary, E. C. , & Maretto, R. V. (2021). Pattern recognition and remote sensing techniques applied to land use and land cover mapping in the Brazilian Savannah. Pattern recognition letters, 148, 54-60. https://doi.org/10.1016/j.patrec.2021.04.028
Sun, X. , Zhao, W. , Maretto, R. V. , & Persello, C. (2021). Building outline extraction from aerial imagery and digital surface model with a frame field learning framework. In N. Paparoditis, C. Mallet, F. Lafarge, M. Y. Yang, A. Yilmaz, J. D. Wegner, F. Remondino, T. Fuse, & I. Toschi (Eds.), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (B2-2021 ed., Vol. 43, pp. 487-493). (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). International Society for Photogrammetry and Remote Sensing (ISPRS). https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-487-2021
Matosak, B. M. , Maretto, R. V., Korting, T. S., Adami, M., & Fonseca, L. M. G. (2020). Mapping deforested areas in the Cerrado Biome through recurrent neural networks. In 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings (pp. 1389-1392). [9324019] IEEE. https://doi.org/10.1109/IGARSS39084.2020.9324019
Bendini, H. N., Fonseca, L. M. G., Soares, A. R., Rufin, P., Schwieder, M., Rodrigues, M. A. , Maretto, R. V., Korting, T. S., Leitao, P. J., Sanches, I. D. A., & Hostert, P. (2020). Applying a phenological object-based image analysis (phenobia) for agricultural land classification: A study case in the Brazilian Cerrado. In 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings (pp. 1078-1081). [9323184] IEEE. https://doi.org/10.1109/IGARSS39084.2020.9323184
Maretto, R. V., Fonseca, L. M. G., Jacobs, N., Korting, T. S., Bendini, H. N., & Parente, L. L. (2020). Spatio-temporal deep learning approach to map deforestation in Amazon rainforest. IEEE geoscience and remote sensing letters. https://doi.org/10.1109/LGRS.2020.2986407

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Verbonden aan Opleidingen

Master

Vakken Collegejaar  2021/2022

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
 

Contactgegevens

Bezoekadres

Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
ITC (gebouwnr. 75), kamer 2-136
Hengelosestraat 99
7514AE  Enschede

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Postadres

Universiteit Twente
Faculty of Geo-Information Science and Earth Observation
ITC  2-136
Postbus 217
7500 AE Enschede

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