In order to complete the extraction and recognition of the ground armored target by the hedgehopping munition with high rotational speed which carries the single-line laser radar,fully considering the steady scanning process of the hedgehopping munition with high rotational speed,a target extraction method for the one-dimensional range profile of missile-borne single-line laser radar is proposed.Firstly,a threshold self-growth segmentation algorithm based on gradient is proposed to obtain the initial cluster number and cluster center.Then based on the improved kmeans algorithm,the segmentation results are adjusted and optimized to achieve the correct segmentation of armored targets.Finally,based on the real feature matching of segmented target and armored target,the armored target is identified.The experimental result shows that this method can effectively segment and identify the target at different height and field of view angle,and provide technical support for the target identification of the hedgehopping munition with high rotational speed.