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

• المؤلفون الرئيسيون: Kieu, Hieu Trung, Yeong, Yoong Sze, Trinh, Ha Linh, Law, Adrian Wing-Keung
• مؤلفون آخرون: School of Civil and Environmental Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2025
• الموضوعات: Engineering; Remote sensing; Coastal monitoring
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/182159
• المؤسسة: 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...