The invention discloses a method for estimating target rotation of an
inverse synthetic aperture radar (ISAR) based on time-space
image sequence, which comprises the following steps: acquiring a time-dimensional RD
image sequence of the ISAR according to the received echo data; and analyzing and estimating the rotation of a target by tracking attitude change between images caused by the rotation of the target; judging whether the rotation planes of the target in any two RD images are coplanar according to a time-space two-dimensional
image sequence acquired by a single
receiver or a plurality of receivers; when the rotation planes are coplanar, further improving the
estimation precision of a rotation parameter through a dominant
point method or a rotation related method; moreover, realizing large-angle high-resolution imaging by PFA or CBP
algorithm; and when the rotation planes are non-coplanar, estimating the
azimuth and pitching rotation information of the target so as to realize three-dimensional imaging of the target. The method ensures the target rotation
estimation precision and stability, and meanwhile can improve the performance of the ISAR imaging in the three aspects of transverse calibration, large-angle high-resolution imaging and three-dimensional imaging. Moreover, compared with the conventional target rotation
estimation method, the method has high precision, and is easy in
engineering realization.