Cloud removal from aerial images using generative adversarial network with simple image enhancement

• Main Authors: Pacot, Mark Phil B., Marcos, Nelson
• Format: text
• Published: Animo Repository 2020
• Subjects: Imaging systems—Image quality; Drone aircraft in remote sensing; Remote sensing—Atmospheric effects; Computer Sciences; Software Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2739
• Institution: De La Salle University

The atmospheric condition of the presence of clouds is one of the biggest problems in most aerial imaging systems. It degrades the visual quality of images leading to the loss of information for ground scenes. Hence, an effective cloud removal algorithm is a significant factor for this kind of probl...