@inproceedings{0ac6a703483d49659945d6e04b894a67,
title = "An image registration algorithm for interferometric synthetic aperture lidar",
abstract = "Interferometric synthetic aperture lidar (InSAL) can achieve high precision 3D imaging, while the image registration algorithm for generating critical interference figure is very important for InSAL. AS the difference between Interferometric Synthetic Aperture Radar (InSAR) and InSAL in dealing with the noise, it is hard for registration algorithmto be used directly in InSAL. To solve this problem, this paper proposes a combination registration algorithm, using the correlation function method both in rough registration and fine registration in the data of Doppler away from zero, and using the spectrum registration method in the data of near zero point by Doppler. The registration accuracy can reach 0.1 a pixel. The simulation results show that the accuracy of the proposed algorithm is improved to 1.43\% compared with the traditional spectral registration algorithm.",
keywords = "Correlation function method, Image registration, InSAL, Spectral registration method",
author = "Yong Zhang and Pengyu Qiu and Chenghua Yang and Lu Xu and Yuan Zhao",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; LIDAR Imaging Detection and Target Recognition 2017 ; Conference date: 23-07-2017 Through 25-07-2017",
year = "2017",
doi = "10.1117/12.2296366",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Weimin Bao and Yueguang Lv and Daren Lv",
booktitle = "LIDAR Imaging Detection and Target Recognition 2017",
address = "美国",
}