Target vibration detection method on basis of SAL (Synthetic Aperture Radar) echo data

The invention relates to a target vibration detection method on the basis of SAL (synthetic aperture radar) echo data. The method comprises the following sequential steps of: carrying out subaperture division on laser echo data output by a balanced detector in the azimuthal direction; respectively carrying out azimuthal compression on the data subjected to subaperture division to obtain primary subaperture image data and calculating the entropy of each subaperture image; and classifying sub-images according to the entropy values by a K fuzzy C-mean clustering algorithm, determining bad data formed due to the influence of the target vibration, and marking the bad data. According to the invention, the rules and the characteristics of the influence of the vibration on the SAL imaging are sufficiently utilized; the target vibration is directly detected from the SAL echo data; the dependence on other auxiliary equipment and means is avoided; and the target vibration detection method on the basis of the SAL echo data is convenient to implement the SAL imaging coherent compensation under the influence of the vibration and promote the imaging accuracy.