@inproceedings{5280f3d610614fc1814ea392f94ec9ac,
title = "Parallel bundle adjustment of high-resolution satellite imagery",
abstract = "Bundle adjustment is the process of minimizing errors in camera and three-dimensional structure parameters which is applicable to many areas of geospatial perception, computer vision, robotics, and imaging, including terrestrial imaging and remote sensing. In the case of remote sensing and planetary imaging, current methods do not adequately address geographic areas consisting of a large number of images and image observations. Other application domains focus on the single part of the bundle adjustment process, the solution of a linear system, but ignore the computation of the coefficient matrix. In this paper, we propose a fully parallel approach to the bundle adjustment problem. This approach includes parallel computation of the required partial derivatives, which also addresses load-imbalance inherent in the problem, a parallel solution to the required linear system. Experimental results show that the parallel derivative method achieves a high level of parallel efficiency.",
keywords = "Bundle adjustment, Parallel approach, Parallel decomposition, Parallel derivative, Remote sensing",
author = "Zhang, \{Dong Dong\} and Lei Zhang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 18th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2019 ; Conference date: 17-06-2019 Through 19-06-2019",
year = "2019",
month = jun,
doi = "10.1109/ICIS46139.2019.8940181",
language = "英语",
series = "Proceedings - 18th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "111--117",
editor = "Simon Xu and Yongbin Wang and Mingyong Shi and Wenqian Shang and Jiefeng Liu and Kailong Zhang",
booktitle = "Proceedings - 18th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2019",
address = "美国",
}