Findings from Wuhan University Broaden Understanding of Remote Sensing (Information Fusion for Gnss-r Wind Speed Retrieval Using Statistically Modified Convolutional Neural Network)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Investigators publish new report on Remote Sensing. According to news reporting from Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “Spaceborne global navigation satellite system reflectometry (GNSS-R) has recently been applied for wind speed retrieval over oceans, where the wind speed is often retrieved using features extracted from delay-Doppler map (DDM) and empirical geophysical model functions (GMFs). However, it is challenging to utilize the other factors related to the GNSS-R process, such as the geometry and sea state, as the input in GMF given their complicated effects.” Funders for this research include National Natural Science Foundation of China (NSFC), Australian Research Council.