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Intelligent Wind Retrieval from Chinese Gaofen-3 SAR Imagery in Quad-Polarization
2019
Journal of Atmospheric and Oceanic Technology
This study proposes the use of the artificial neural network for wind retrieval with Chinese Gaofen-3 (GF-3) synthetic aperture radar (SAR) data. More than 10 000 images acquired in wave mode and quadpolarization strip map were collected over global seas throughout the 2-yr mission. The GF-3 operated in a quad-polarization channel-vertical-vertical (VV), vertical-horizontal (VH), horizontal-horizontal (HH), and horizontal-vertical (HV). These images were collocated with winds from the European
doi:10.1175/jtech-d-19-0048.1
fatcat:l5g7gmmlbrbbrnc4jzd3eytkou