Wuhan University

Deren Li

Liang Chen

Lei Wang

Ruizhi Chen

Ming Li

Shulun Liu

Jingbin Liu

Jiangying Qin

Jiageng Zhong

The invention discloses a method and system for detecting and repairing sun glint in UAV optical RGB ocean image, introduces a sun glint attention module, and constructs a semantic segmentation network model based on attention mechanism. The sun glint region is segmtioned by semantic segmentation network model based on attention mechanism, and the optical flow field of high-resolution UAV optical RGB ocean image is extracted by RAFT optical flow estimation network. sun glint region and optical flow field are used for optical flow propagation to repair the sun glint in UAV optical RGB ocean images and restore the real benthic image features.

Method and system for detecting and repairing sun glint in UAV optical RGB ocean images

The invention discloses an ionospheric delay correction method for LEO satellite augmented navigation systems for GNSS. According to the method, GNSS satellite navigation signals received by LEO GNSS receiver loads are used for providing ionospheric information for navigation augmentation for earth surface users. In the method, as a set of mobile navigation augmentation reference stations, LEO satellites continuously observe the global ionosphere to generate ionospheric delay correction information, and the ionospheric delay correction information is sent to the earth surface users to obtain augmented navigation performance. By adoption of the method, ionospheric delay correction data covering the whole world instead of covering certain areas and particularly ionospheric delay correction data covering the vast marine areas are obtained; ionospheric gradient data are provided; and compared with traditional approaches, ionospheric delay correction accuracy is higher than that of traditional approaches; ionospheric activities and events are monitored in orbit to provide complete ionospheric delay correction information.

Ionospheric delay correction method for LEO satellite augmented navigation systems

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Wuhan, China

Deren Li