2 results about "Meridional direction" patented technology

The invention discloses an ocean mesoscale vortex intelligent identification method and system based on flow field geometric features and a satellite altimeter, and the method comprises the steps: obtaining the synchronous SSHA data of at least three satellites, and carrying out the calibration according to the actual measurement data of a buoy; on the basis of the calibrated SSHA data, utilizing a ground-to-balance equation to calculate weft-direction and warp-direction ground-to-balance flow velocity components; generating a flow field geometric feature VG vortex center criterion; dynamically adjusting VG vortex core criterion parameters according to the ocean dynamic environment; converting the SSHA and geostationary flow field data into a grayscale image, marking vortex polarity and a bounding box, and adding a salt and pepper noise expansion sample through random rotation; resNet-50 is adopted as a backbone network, and a bidirectional feature pyramid network BiFPN is added to optimize multi-scale feature fusion; and inputting the VG preliminary identification result into the trained ResNet-BiFPN model, and outputting the vortex position, radius and polarity. The technical defects of a traditional method in weak vortex recognition, background noise interference and calculation timeliness are overcome.

This invention belongs to the field of stellar positioning and navigation technology, and particularly relates to an auxiliary altimetry method for stellar positioning. The method includes constructing a three-dimensional spatiotemporal coordinate system, collecting raw altimetry data, constructing a three-dimensional spatiotemporal database, analyzing the spatial and temporal correlations of measurement points, calculating the spatial and temporal correlations between different measurement point areas and surrounding measurement point areas in the latitudinal and meridional directions, identifying correlated data based on the correlation of the altimetry data, eliminating other invalid samples without correlation, and performing spatiotemporal weighted fusion based on the spatial correlation of adjacent measurement points and the temporal correlation at different times to obtain fused altimetry data. This application integrates the spatial correlation of measurement points during the altimetry data acquisition process, as well as the temporal correlation attributes of the same measurement point at different times, into the verification statistics of the altimetry data results, providing a data foundation for subsequent output verification of altimetry data and correction of erroneous data.