DETECTION AND MONITORING OF BEACH LITTER USING UAV IMAGE AND DEEP NEURAL NETWORK

15 citations as recorded by crossref.

1. A pilot study to estimate the population size of endangered Galápagos marine iguanas using drones A. Varela-Jaramillo et al. 10.1186/s12983-022-00478-5
2. Machine learning for aquatic plastic litter detection, classification and quantification (APLASTIC-Q) M. Wolf et al. 10.1088/1748-9326/abbd01
3. Implementing land-based litter surveys through visual inspection of imagery using unmanned aerial vehicles S. Swanepoel et al. 10.1016/j.envc.2023.100753
4. UxV-Based Deep-Learning-Integrated Automated and Secure Garbage Management Scheme Using Blockchain M. Masuduzzaman et al. 10.1109/JIOT.2022.3156617
5. Monitoring and Quantifying the Fluvio-Geomorphological Changes in a Torrent Channel Using Images from Unmanned Aerial Vehicles G. Gkiatas et al. 10.3390/hydrology9100184
6. A Drone-Based Multisensory Payload for Maritime Pollutants Detections E. Giusti et al. 10.1109/MAES.2022.3232071
7. Drone technology in municipal solid waste management and landfilling: A comprehensive review N. Sliusar et al. 10.1016/j.wasman.2021.12.006
8. Quantifying Floating Plastic Debris at Sea Using Vessel-Based Optical Data and Artificial Intelligence R. de Vries et al. 10.3390/rs13173401
9. Citizen Science for Marine Litter Detection and Classification on Unmanned Aerial Vehicle Images S. Merlino et al. 10.3390/w13233349
10. Using artificial intelligence to support marine macrolitter research: A content analysis and an online database D. Politikos et al. 10.1016/j.ocecoaman.2022.106466
11. From coastal geomorphometry to virtual environments F. Gross et al. 10.3389/fmars.2023.1229489
12. Automatic Marine Debris Inspection Y. Liao & J. Juang 10.3390/aerospace10010084
13. An Intelligent Hierarchical Cyber-Physical System for Beach Waste Management: The BIOBLU Case Study G. Cicceri et al. 10.1109/ACCESS.2023.3317689
14. Real-Time UAV Trash Monitoring System Y. Liao & J. Juang 10.3390/app12041838
15. UAV-Based Landfill Land Cover Mapping: Optimizing Data Acquisition and Open-Source Processing Protocols C. Wyard et al. 10.3390/drones6050123