@inproceedings{51b60d7f6c9047a39755187507c5308b,
title = "Fast accurate near space circular SAR data focusing based on butterfly algorithm",
abstract = "The butterfly algorithm is introduced to achieve fast imaging of near space circular synthetic aperture radar (SAR) raw data with high resolution and large scene. The fast algorithm benefits from projecting the frequency domain signal after matched filtering to subimage. Quad tree structures constructed on both signal and image spaces are used to project signal recursively. Following the traversal of the quadtree, the image resolution is ameliorated gradually. The algorithm run on parallel processors and fast imaging is accomplished. Except for the ability of precise and quick imaging, large scene imaging is also achieved. The simulation results show the high quality image with good resolution.",
keywords = "butterfly algorithm, low-rank approximation, near space circular SAR, quadtree",
author = "Haiguang Yang and Zhongyu Li and Leiquan Song and Junjie Wu and Yulin Huang and Jianyu Yang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 ; Conference date: 13-07-2014 Through 18-07-2014",
year = "2014",
month = nov,
day = "4",
doi = "10.1109/IGARSS.2014.6946506",
language = "英语",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "648--651",
booktitle = "International Geoscience and Remote Sensing Symposium (IGARSS)",
}