The application discloses a kind of sea surface flow field inversion and
reconstruction method based on stationary
satellite high frequency image, belong to marine
remote sensing technical field.It includes the following steps:
satellite image is preprocessed and locally enhanced;Initial inversion is carried out using dense
optical flow algorithm for single time phase flow field;The flow
field data cube of space-time grid uniformization is constructed;
Time series reconstruction is carried out using two-way Kalman filtering, through
forward recursion, backward
recursion and two-way fusion, using
time series information to correct abnormal vector and fill in
missing data;Finally, based on the physical consistency principle of
seawater approximate incompressibility, the reconstructed flow field is subjected to iterative
divergence constraint, and the non-physical disturbance is weakened.The application effectively solves the problem that the traditional optical
remote sensing flow measurement method is easy to produce abnormal vector and poor spatiotemporal consistency under complex sea conditions such as
cloud cover and weak texture by introducing
time series correlation and physical constraint, significantly improves the accuracy, stability and physical reasonableness of sea surface flow field inversion.