Enhancing turbidity predictions in coastal environments by removing obstructions from unmanned aerial vehicle multispectral imagery using inpainting techniques

• Main Authors: Kieu, Hieu Trung, Yeong, Yoong Sze, Trinh, Ha Linh, Law, Adrian Wing-Keung
• Other Authors: School of Civil and Environmental Engineering
• Format: Article
• Language: English
• Published: 2025
• Subjects: Engineering; Remote sensing; Coastal monitoring
• Online Access: https://hdl.handle.net/10356/182159
• Institution: Nanyang Technological University

High-resolution remote sensing of turbidity in the coastal environment with unmanned aerial vehicles (UAVs) can be adversely affected by the presence of obstructions of vessels and marine objects in images, which can introduce significant errors in turbidity modeling and predictions. This study eval...