| Citation: | YANG Hong, ZHANG Yasheng, YIN Canbinet al. ISAR imaging and contour feature extraction of space targets[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(9): 1765-1776. doi: 10.13700/j.bh.1001-5965.2018.0680(in Chinese)
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The inverse synthetic aperture radar (ISAR) imaging of the space target is affected by target's own occlusion and noise interference, which makes the generated ISAR image difficult to be directly used for image analysis and target recognition. Therefore, the ISAR image processing and feature extraction are studied based on the ISAR imaging model of the space target. Firstly, the ISAR imaging model, ISAR signal model and ISAR image extraction model of the target satellite are established respectively, and the ISAR image of the target satellite is obtained through preliminary processing such as sidelobe suppression and speckle filtering. Secondly, the Otsu algorithm, the canny operator and the Hough transform are used to rotate the satellite to the longest axis parallel to the horizontal axis of the image plane. The closed operation method is used to fill the internal cavity of the satellite and remove the external isolated noise region. Based on the connected domain idea, the sub-area where the satellite is located is segmented, and the contour extraction of the satellite is realized. The designed image processing algorithm can effectively improve the ISAR image quality, and the extracted satellite contour can well outline the shape of the target satellite, which lays an important foundation for further satellite identification.
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