Inverse synthetic aperture ladar autofocus imaging algorithm for micro-vibrating satellites based on two prominent points

被引：6

作者：

Song, Zi-Qi ^{[1
,2
]}

Mo, Di ^{[1
,2
]}

Wang, Ning ^{[1
,2
]}

Li, Bing-Chen ^{[1
,2
]}

Shao, Yong-She ^{[2
]}

Tan, Rong-Qing ^{[2
]}

机构：

[1] Univ Chinese Acad Sci, Sch Elect Elect & Commun Engn, Beijing 100049, Peoples R China

[2] Chinese Acad Sci, Inst Elect, Beijing 100190, Peoples R China

来源：

APPLIED OPTICS | 2019年 / 58卷 / 25期

关键词：

SYSTEM; ONBOARD;

D O I：

10.1364/AO.58.006775

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

As an important imaging method for long-range satellite targets, inverse synthetic aperture ladar (ISAL) has the characteristics of high-resolution imaging and competitive detectability. Since the working wavelength of the ISAL is comparable to the micro-vibrations generated by mechanical moving components of satellites, which will cause image defocusing, motion compensation is of great significance. In this paper, an autofocus algorithm is proposed for estimating and compensating the phase error relating to both translational and rotational micro-vibrations. Comparing with non-parametric algorithms like phase gradient autofocus and parametric algorithms like contrast-based autofocus and entropy-based autofocus, the proposed one, which is based on two prominent points, is especially effective for the rotational phase error oscillating numbers of cycles. Simulations and experiments are conducted to validate the feasibility of the proposed algorithm. (C) 2019 Optical Society of America

引用

页码：6775 / 6783

页数：9