One of the DronSe Laboratory strength is its focus on research.

Full list of research activities conducted within the DronSe Lab and published in scientific journals.

1. Colacicco, R., Refice, A., Nutricato, R., Bovenga, F., Caporusso, G., D’Addabbo, A., … & Capolongo, D. (2024). High-Resolution Flood Monitoring Based on Advanced Statistical Modeling of Sentinel-1 Multi-Temporal Stacks. Remote Sensing, 16(2), 294, https://doi.org/10.3390/rs16020294

2. La Salandra, M., Colacicco, R., Dellino, P., & Capolongo, D. (2023). An effective approach for automatic river features extraction using High-Resolution UAV imagery. Drones, 7(2), 70, https://doi.org/10.3390/drones7020070.

3. La Salandra, M., Roseto, R., Mele, D., Dellino, P., & Capolongo, D. (2022). Probabilistic hydro-geomorphological hazard assessment based on UAV-derived high-resolution topographic data: The case of Basento river (Southern Italy). Science of The Total Environment, 842, 156736, https://doi.org/10.1016/j.scitotenv.2022.156736

4. Miniello, G., La Salandra, M., & Vino, G. (2022, July). Deep Neural Networks for Remote Sensing Image Classification. In Science and Information Conference (pp. 117-128). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-10464-0_9

5. La Salandra, M., Miniello, G., Nicotri, S., Italiano, A., Donvito, G., Maggi, G., Dellino, P., & Capolongo, D. (2021). Generating UAV high-resolution topographic data within a FOSS photogrammetric workflow using high-performance computing clusters. International Journal of Applied Earth Observation and Geoinformation, 105, 102600, https://doi.org/10.1016/j.jag.2021.102600

6. Miniello, G., & La Salandra, M. (2021, October). A new method for geomorphological studies and land cover classification using Machine Learning techniques. In Proceedings of the International Symposium on Grids & Cloudshttps://pos.sissa.it/378/031/pdf

7. Miniello, G., & La Salandra, M. (2021, September). A new method for geomorphological studies on aerial images and land-cover classification using machine learning techniques. In Image and Signal Processing for Remote Sensing XXVII (Vol. 11862, pp. 52-59). SPIE. https://doi.org/10.1117/12.2593110

8. Miniello, G., & La Salandra, M. (2021). HIGH RESOLUTION IMAGE PROCESSING AND LAND COVER CLASSIFICATION FOR HYDRO-GEOMORPHOLOGICAL HIGH-RISK AREA MONITORING. CEUR Workshop Proceedings, 3041, pp. 304 – 309. https://ceur-ws.org/Vol-3041/304-309-paper-56.pdf