自动对焦
相(物质)
计算机视觉
计算机科学
光学
维数(图论)
合成孔径雷达
运动(物理)
基质(化学分析)
人工智能
物理
数学
光学(聚焦)
材料科学
量子力学
复合材料
纯数学
作者
Ziqi Song,Di Mo,Bowen Li,Ruoheng Wang,Yawei Shao,Rongqing Tan
出处
期刊:IEEE Photonics Technology Letters
[Institute of Electrical and Electronics Engineers]
日期:2020-02-17
卷期号:32 (6): 353-356
被引量:5
标识
DOI:10.1109/lpt.2020.2974505
摘要
A new autofocus method of the space-time-varied phase error (PE) correction is presented for inverse synthetic aperture ladar (ISAL). The PE is corrected by a two-dimension matrix that is estimated in the form of phase gradient both in frequency and time domains. The autofocus method we named as PGMA is capable of compensating non-parametrical motion errors varying from pulse to pulse and is robust for widespread scene contents where any isolated strong scatterer is not necessary. The effectiveness is verified by comparing the imaging results of extended targets between PGMA and the conventional phase gradient autofocus (PGA) both in simulations and experiments. When the motion of targets contains both translational and angular motion errors, PGMA produces well-focused images while PGA merely corrects translational motion error, leaving the formatted images smear by angular motion error, especially to the edges.
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