Publications

Articles

JOURNAL PAPERS

1. G. Cruz, A. Bernardino (2019). "Learning Temporal Features for Detection on Maritime Airborne Video Sequences Using Convolutional LSTM". IEEE Transactions on Geoscience and Remote Sensing, 57(9), 6565-6576. https://doi.org/10.1109/TGRS.2019.2907277

2. N. Pessanha-Santos, V. Lobo, A. Bernardino (2020). "Two-stage 3D model-based UAV pose estimation: A comparison of methods for optimization", Journal of  Field Robotics, 37(4):580-605. https://doi.org/10.1002/rob.21933 

3. N. Pessanha-Santos, V. Lobo, A. Bernardino (2020), "Directional statistics for 3D Model-Based UAV Tracking", IEEE Access, 38-49(12). https://www.doi.org/10.1109/ACCESS.2020.2973970 

4. M. Monteiro Marques, V. Lobo, A. Pedro Aguiar, J. Estrela Silva, J. Borges de Sousa, M. Fátima Nunes, R. Ribeiro, A. Bernardino, G. Cruz, J. Salvador Marques (2021), “An Unmanned Aircraft System for Maritime Operations: The Automatic Detection Subsystem”, Marine Technology Society Journal, 55(1):38-49(12). https://doi.org/10.4031/MTSJ.55.1.4 

5. C. Pires, B. Damas and A. Bernardino (2022). "An Efficient Cascaded Model for Ship Segmentation in Aerial Images". IEEE Access, vol. 10, pp. 31942-31954. https://doi.org/10.1109/ACCESS.2022.3159667 

6. M. Ribeiro, B. Damas, A. Bernardino (2022), "Real-Time Ship Segmentation in Maritime Surveillance Videos Using Automatically Annotated Synthetic Datasets". Sensors, 22(21), 8090. https://doi.org/10.3390/s22218090 

7. T. Garcia, A. Bernardino, R. Ribeiro (2023). "Wildfire aerial thermal image segmentation using unsupervised methods: a multilayer level set approach". International Journal of Wildland Fire, 32(3) 435-447. https://doi.org/10.1071/WF22136 

INTERNATIONAL CONFERENCES

8. F. Ferreira, V. Franco, T. Oliveira e L. Félix, “Conceptual Design of a Fixed-wing Aircraft with Vertical Take-Off and Landing for Surveillance Applications", Proceedings of the Conference International Society of Military Sciences 2019, Austrian National Defence Academy, 2019. https://isofms.org/resource/dm/155089914815300128.pdf?n=ISMS2019+Abstracts+FINAL.pdf&inline=yes 

9. J. Teixeira, H. S. Pinto, N. Baylina and A. Bernardino, "Video-based tracking of fishes in the Lisbon Oceanarium," OCEANS 2021: San Diego – Porto, San Diego, CA, USA, 2021, pp. 1-7, https://doi.org/10.23919/OCEANS44145.2021.9705768  

10. M. Niknejad and A. Bernardino. Attention on Classification for Fire Segmentation. International Conference on Machine Learning and Applications (ICMLA) 2021. https://doi.org/10.1109/ICMLA52953.2021.00103  

11. T. Ferreira, B. Damas, A. Bernardino. 6D UAV Pose Estimation for Ship Landing Guidance. OCEANS 2021. https://doi.org/10.23919/OCEANS44145.2021.9705884 

12. T. Garcia, A. Bernardino, R. Ribeiro, A Multilayer Approach to Wildfire Aerial Thermal Image Segmentation Using Unsupervised Methods, Proc. of the 9th International Conference on Forest Fire Research, 2022. https://doi.org/10.14195/978-989-26-2298-9_4 

13. B. Amaral, M. Niknejad, C. Barata and A. Bernardino, "Weakly Supervised Fire and Smoke Segmentation in Forest Images with CAM and CRF," 2022 26th International Conference on Pattern Recognition (ICPR), Montreal, QC, Canada, 2022, pp. 442-448, https://doi.org10.1109/ICPR56361.2022.9956288 

14. L. Gonçalves and B. Damas, "Automatic detection of rescue targets in maritime search and rescue missions using UAVs," 2022 International Conference on Unmanned Aircraft Systems (ICUAS), Dubrovnik, Croatia, 2022, pp. 1638-1643, https://doi.org/10.1109/ICUAS54217.2022.9836137 

15. F. Sargento, R. Ribeiro, E. K. Cherif and A. Bernardino. "Real-time Georeferencing of Fire Front Aerial Images using Structure from motion and Iterative Closest Point". Workshop on Image Analysis for Forest Environmental Monitoring, ICPR 2022.

16. S. Fernandes, M. Niknejad, C. Barata and A. Bernardino. "Forest Fires Identification Using Self-Supervised Learning". Workshop on Image Analysis for Forest Environmental Monitoring, ICPR 2022.

17. L. Kuhlmann, M. Niknejad, C. Barata, A. Bernardino and G. Zhang. "An Adversarial method for Semi-supervised Segmentation of Smoke and Fire in Images". Workshop on Image Analysis for Forest Environmental Monitoring, ICPR 2022.

18. W. Amakhchan, O. El Kharki, E.K. Cherif, M. Wahbi, O. Y. Alaoui, M. Maatouk, H. Boulaassal. "An Overview of tools and algorithms used to classify, detect, and monitor forest area using LiDAR data". Workshop on Image Analysis for Forest Environmental Monitoring, ICPR 2022.

19. B. Houda, B. Hakim, E.K. Cherif, W. Miriam, E.K. Omar, M. Mustapha, Y. A. Otmane. "Landsat 8 data for forest fire monitoring: case of Mediouna forest in Tangier, Morocco". Workshop on Image Analysis for Forest Environmental Monitoring, ICPR 2022.

20. A. T. Taha, E.K. Cherif. "Land Cover Classification for Fires using Sentinel-2 satellite RGB images and Deep Transfer Learning".  Workshop on Image Analysis for Forest Environmental Monitoring, ICPR 2022.

NATIONAL CONFERENCES

21. C. Pires, A. Bernardino and B. Damas. "Ship Segmentation in Aerial Images for Maritime Surveillance". 26th Portuguese Conference on Pattern Recognition. 2020.  https://recpad2020.uevora.pt/wp-content/uploads/2020/11/proceedings_recpad2020.pdf

22. L. Gonçalves, B. Damas. "Deteção automática de náufragos em missões SAR usando UAVs". 3º Encontro de Investigação e Desenvolvimento em Ciências Militares. Lisboa, 22 de novembro de 2021.

23. A. Batista Pinto, B. Damas, V. Borges Rodrigues, N. Pessanha Santos. "Deteção Automática de Alvos Terrestres a partir de um UAV em Apoio a Operações Anfíbias", 4º Encontro de Investigação e Desenvolvimento em Ciências Militares. Sintra, 16 de novembro de 2022.

Theses

1. Nuno Pessanha-Santos, “Fixed-wing UAV tracking in outdoor scenarios for autonomous landing”, PhD Thesis, IST, 2020.

2. Gonçalo Cruz,  “Autonomous Aerial Imagery Analysis in Maritime Surveillance Scenarios”, PhD Thesis, IST, 2020.

3. Carlos Pires. "Ship Segmentation in Aerial Images for Maritime Surveillance". MSc Thesis, IST 2021.

4. Tiago Ferreira. "6D UAV pose estimation for landing on ship guidance". MSc Thesis, IST 2021.

5. Miguel Ribeiro, "Real-Time Ship Segmentation with 3D fully connected CRF for Maritime Surveillance". MSc Thesis, IST 2022.

6. Tiago Garcia, "A Multilayer Approach to Wildfire Aerial Thermal Image Segmentation Using Unsupervised Methods", IST 2022.

7. Vitor Espindola de Azevedo, "Forest Fire Segmentation using Self-Supervised Methods", IST 2022.

8. João Tomás Maia Lopes, "Real-Time Fish Trackig in Aquaria with and External Camera", IST 2022.

9. Rui Miguel Campos Magalhães, "Aleatoric Uncertainty with Test-Time Augmentation for Object Detection in Autonomous Driving", IST 2022.

10. Miguel de Sousa Fazenda, "Self- Supervised Visual Representation Learning with Customized Object Proposals", IST, 2022.

11. Mariana de Andrade Dias Alves, "Change Detection Through Intra-urban Classification of Very high Resolution Satellite Images", IST 2022.

Datasets

• The Maritime Synthetic (MarSyn) Dataset: https://vislab.isr.tecnico.ulisboa.pt/marsyn-dataset/