ADDRESSING THE CLASS IMBALANCE PROBLEM IN THE AUTOMATIC IMAGE CLASSIFICATION OF COASTAL LITTER FROM ORTHOPHOTOS DERIVED FROM UAS IMAGERY

13 citations as recorded by crossref.

1. The octopus pot on the North Atlantic Iberian coast: A plague of plastic on beaches and dunes U. Andriolo & G. Gonçalves 10.1016/j.marpolbul.2023.115099
2. Spatial-SMOTE for handling imbalance in spatial regression tasks R. Gavas et al. 10.1007/s11042-023-15919-4
3. Drones for litter mapping: An inter-operator concordance test in marking beached items on aerial images U. Andriolo et al. 10.1016/j.marpolbul.2021.112542
4. A Citizen Science Unmanned Aerial System Data Acquisition Protocol and Deep Learning Techniques for the Automatic Detection and Mapping of Marine Litter Concentrations in the Coastal Zone A. Papakonstantinou et al. 10.3390/drones5010006
5. On the 3D Reconstruction of Coastal Structures by Unmanned Aerial Systems with Onboard Global Navigation Satellite System and Real-Time Kinematics and Terrestrial Laser Scanning D. Gonçalves et al. 10.3390/rs14061485
6. A novel beach litter analysis system based on UAV images and Convolutional Neural Networks V. Scarrica et al. 10.1016/j.ecoinf.2022.101875
7. Spatial and size distribution of macro-litter on coastal dunes from drone images: A case study on the Atlantic coast U. Andriolo et al. 10.1016/j.marpolbul.2021.112490
8. Beach litter survey by drones: Mini-review and discussion of a potential standardization G. Gonçalves et al. 10.1016/j.envpol.2022.120370
9. Beached and Floating Litter Surveys by Unmanned Aerial Vehicles: Operational Analogies and Differences U. Andriolo et al. 10.3390/rs14061336
10. Application of Direct and Indirect Methodologies for Beach Litter Detection in Coastal Environments A. Sozio et al. 10.3390/rs16193617
11. Citizen Science for Marine Litter Detection and Classification on Unmanned Aerial Vehicle Images S. Merlino et al. 10.3390/w13233349
12. Aerial detection of beached marine plastic using a novel, hyperspectral short-wave infrared (SWIR) camera J. Cocking et al. 10.1093/icesjms/fsac006
13. Close-range remote sensing-based detection and identification of macroplastics on water assisted by artificial intelligence: A review N. Gnann et al. 10.1016/j.watres.2022.118902