Publications

Articles

  • Cruz, G., & Bernardino, A. (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

  • Nuno Pessanha Santos, Victor Lobo, Alexandre Bernardino, Two-stage 3D model-based UAV pose estimation: A comparison of methods for optimization, J Field Robotics, 37(4):580-605, 2020. https://doi.org/10.1002/rob.21933

  • Nuno Pessanha Santos, Victor Lobo, Alexandre Bernardino, Directional statistics for 3D Model-Based UAV Tracking, IEEE Access, 2020. https://www.doi.org/10.1109/ACCESS.2020.2973970

  • 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, “An Unmanned Aircraft System for Maritime Operations: The Automatic Detection Subsystem”, Marine Technology Society Journal, 2021. https://doi.org/10.4031/MTSJ.55.1.4

  • C. Pires, B. Damas and A. Bernardino. An Efficient Cascaded Model for Ship Segmentation in Aerial Images. IEEE Access, vol. 10, pp. 31942-31954, 16 March 2022. https://doi.org/10.1109/ACCESS.2022.3159667

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

  • T. Garcia, A. Bernardino, R. Ribeiro, Wildfire aerial thermal image segmentation using unsupervised methods: a multilayer level set approach. International Journal of Wildland Fire, 2023 (Under Review).

  • 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

  • Ferreira, Fabio, Vasco Franco, Tiago Oliveira e Luís 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

  • 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

  • M. Niknejad and A. Bernardino. Attention on Classification for Fire Segmentation. ICMLA 2021. https://doi.org/10.1109/ICMLA52953.2021.00103

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

  • 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.

  • 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

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

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

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

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

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

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

Theses

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

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

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

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

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

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