Abstract
Moving ship targets appear blurred and defocused in synthetic aperture radar (SAR) images due to the translation motion during the coherent processing. Motion compensation is required for refocusing moving ship targets in SAR scenes. A novel refocusing method for moving ship is developed in this paper. The method is exploiting inverse synthetic aperture radar (ISAR) technique to refocus the ship target in SAR image. Generally, most cases of refocusing are for raw echo data, not for SAR image. Taking into account the advantages of processing in SAR image, the processing data are SAR image rather than raw echo data in this paper. The ISAR processing is based on fast minimum entropy phase compensation method, an iterative approach to obtain the phase error. The proposed method has been tested using Spaceborne TerraSAR-X, Gaofeng-3 images and airborne SAR images of maritime targets.
Highlights
Synthetic aperture radar (SAR) is widely employed in military surveillance, geography mapping and resource surveying
When the angle variation is not too large, and the rotation vector is sufficiently stable during radar imaging, the range Doppler (RD) algorithm is applied for reforming synthetic aperture radar (SAR) or inverse synthetic aperture radar (ISAR) images with
X radar imaging, the range Doppler (RD) algorithm is applied for reforming SAR or ISAR images with high accuracy after motion compensation
Summary
Synthetic aperture radar (SAR) is widely employed in military surveillance, geography mapping and resource surveying. This thought has the advantage of locating moving ships in SAR images and the data size of sub-image is smaller than the entire raw data To deal with these problems, a refocusing method for moving ships based on fast minimum entropy phase compensation is proposed in this paper. The processing data are sub-images containing moving ships rather than the raw echo data, and the ISAR technique is based on fast minimum entropy phase compensation. The last is that the ISAR technique based on fast minimum entropy phase compensation has good image quality and computational efficiency.
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