This is a dataset: a database of radar cross sections of models; The characteristics of the data set include radar frequency, polarization mode (currently only the co-polarized VV and HH), radar Angle of sight (pitch and azimuth), and target characteristics RCS. According to these input feature information, the highly nonlinear feature rcs of the predicted target is estimated. Prediction is actually an interpolation method, which can be divided into two kinds, interpolation and extrapolation. We can try different methods according to the data set provided, please show your skills!
The dataset exemplifies land vehicle targets, tanks, and comprises 1000 time-frequency representation (TFR) images in jpg format with a resolution of 875x656 pixels. Each image is accompanied by labels containing 14 parameters for geometric parameter prediction.