@inproceedings{5a4956f9c3f94d959b6b6e640842f14f,
title = "A Novel GEO-Airplane Arbitrary Squint Bistatic SAR Imaging Method Using Spectrum Compression and Alignment",
abstract = "Recently, GEO-Airplane Arbitrary Squint Bistatic SAR (GAS-BSAR) has become an attractive SAR imaging mode which could obtain Multi-Angle imformation from illuminated area. However, there is no excellent method to obtain high resolution SAR image from GAS-BSAR data. Fast Factorized BP (FFBP) is considered as an ideal methodology for configuration adaptability, but abundant interpolation operations extremely prolong FFBP imaging period. In this paper, a novel ground Cartesian back-projection (BP) algorithm is purposed for GAS-BSAR imaging. We decrease computation burden by subsitituding interpolation operations with Azimuth Zero-Padding Upsamping operations. Two-step spectrum conpression filters are designed to eliminate Azimuth spectrum aliasing before Azimuth upsamping. The purposed method named Bistatic Ground Cartesian BP (BGCBP) has been successfully applied to L-band GAS-BSAR simulation, where the efficiency improvement and imaging accuracy are demonstrated.",
keywords = "BGCBP, GAS-BSAR, accelerated BP, spectrum compression",
author = "Ziheng Ren and Pengbo Wang and Peng Zhao and Tao Tang",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 ; Conference date: 07-07-2024 Through 12-07-2024",
year = "2024",
doi = "10.1109/IGARSS53475.2024.10641927",
language = "英语",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "10958--10961",
booktitle = "IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",
address = "美国",
}