A sea–sky–line detection method for long wave infrared image based on improved Swin Transformer

• Main Authors: Li, Chenming, Cai, Chengtao, Zhou, Wentao, Wu, Kejun
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Swin Transformer; Sea–sky–line
• Online Access: https://hdl.handle.net/10356/175845
• Institution: Nanyang Technological University

Long wave infrared (LWIR) imaging technology is booming due to its all-weather capability. Sea–sky–line (SSL) detection based on LWIR images is a promising research in marine environment perception. However, LWIR images have been suffering the lack of rich features, challenge arises from the accurat...