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ORCIDMabel Ortega Adarme
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2020 – today
- 2025
[b1]Mabel X. Ortega Adarme:
Domain adaptation for deforestation detection in remote sensing: addressing performance estimation and class imbalance. University of Hanover, Hannover, Germany, 2025, pp. 1-93- 2023
- [j4]Pedro Juan Soto Vega
, Gilson Alexandre Ostwald Pedro da Costa, Mabel X. Ortega Adarme, Jose David Bermudez Castro, Raul Queiroz Feitosa:
Weakly Supervised Domain Adversarial Neural Network for Deforestation Detection in Tropical Forests. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 10264-10278 (2023) - [i1]Carla Nascimento Neves, Raul Queiroz Feitosa, Mabel X. Ortega Adarme, Gilson Antonio Giraldi:
Combining recurrent and residual learning for deforestation monitoring using multitemporal SAR images. CoRR abs/2310.05697 (2023) - 2022
- [j3]Pedro Juan Soto Vega, Gilson A. O. P. da Costa, Raul Queiroz Feitosa, Mabel X. Ortega, Jose David Bermudez Castro, Javier Noa Turnes:
Domain-Adversarial Neural Networks for Deforestation Detection in Tropical Forests. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j2]Mabel Ortega Adarme, Juan Doblas Prieto, Raul Queiroz Feitosa, Cláudio Aparecido de Almeida:
Improving Deforestation Detection on Tropical Rainforests Using Sentinel-1 Data and Convolutional Neural Networks. Remote. Sens. 14(14): 3290 (2022) - 2021
- [c1]Mabel Ortega Adarme, Raul Queiroz Feitosa, Jose D. Bermudez, Patrick Nigri Happ, Cláudio Aparecido de Almeida:
Comparison of Optical and SAR Data for Deforestation Mapping in the Amazon Rainforest with Fully Convolutional Networks. IGARSS 2021: 3769-3772 - 2020
- [j1]Mabel Ortega Adarme, Raul Queiroz Feitosa, Patrick Nigri Happ, Cláudio Aparecido de Almeida, Alessandra Rodrigues Gomes:
Evaluation of Deep Learning Techniques for Deforestation Detection in the Brazilian Amazon and Cerrado Biomes From Remote Sensing Imagery. Remote. Sens. 12(6): 910 (2020)
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