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基于快速最小熵相位补偿的 SAR 图像中运动船舶目标重聚焦。

Refocusing Moving Ship Targets in SAR Images Based on Fast Minimum Entropy Phase Compensation.

机构信息

State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China.

School of Electronic Science, National University of Defense Technology, Changsha 410073, China.

出版信息

Sensors (Basel). 2019 Mar 7;19(5):1154. doi: 10.3390/s19051154.

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.

摘要

由于相干处理过程中的平移运动,运动船只目标在合成孔径雷达(SAR)图像中会显得模糊和散焦。因此,需要对 SAR 场景中的运动船只目标进行运动补偿以实现重聚焦。本文提出了一种新的运动船只重聚焦方法。该方法利用逆合成孔径雷达(ISAR)技术在 SAR 图像中对船只目标进行重聚焦。一般来说,大多数重聚焦的情况都是针对原始回波数据,而不是 SAR 图像。考虑到 SAR 图像处理的优势,本文的处理数据是 SAR 图像,而不是原始回波数据。ISAR 处理基于快速最小熵相位补偿方法,这是一种迭代方法,用于获得相位误差。该方法已经使用星载 TerraSAR-X、高分三号图像和机载 SAR 图像进行了测试。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2101/6427439/20544233a6be/sensors-19-01154-g001.jpg

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