In traditional inverse synthetic aperture radar(ISAR)imaging of moving targets with rotational parts, the micro-Doppler(m-D) effects caused by the rotational parts influence the quality of the radar images. Recently, L. Stankovic proposed an m-D removal method based on L-statistics, which has been proved effective and simple. The algorithm can extract the m-D effects according to different behaviors of signals induced by rotational parts and rigid bodies in time-frequency(T-F) domain. However, by removing m-D effects, some useful short time Fourier transform(STFT) samples of rigid bodies are also extracted, which induces the side lobe problem of rigid bodies. A parameter estimation method for rigid bodies after m-D removal is proposed, which can accurately recover rigid bodies and avoid the side lobe problem by only using m-D removal. Simulations are given to validate the effectiveness of the proposed method. In traditional inverse synthetic aperture radar (ISAR) imaging of moving targets with rotational parts, the micro-Doppler (mD) effects caused by the rotational parts influence the quality of the radar images. Recently, L. Stankovic proposed an mD removal method based on L-statistics, which has been proved effective and simple. The algorithm can extract the mD effects according to different behaviors of signals induced by rotational parts and rigid bodies in time-frequency (TF) domain. However, by removing mD effects, some useful short time Fourier transform (STFT) samples of rigid bodies are also extracted, which induces the side lobe problem of rigid bodies. A parameter estimation method for rigid bodies after mD removal is proposed, which can accurately recover rigid bodies and avoid the side lobe problem by only using mD removal. Simulations are given to validate the effectiveness of the proposed method.