A Location Recall Strategy for Improving Efficiency of User-Generated Short Text Geolocalization

Gao, Congjie; Li, Yongjun; Yang, Jiaqi; Zhang, Yinyin

doi:10.1109/tcss.2021.3116341

Cited by 2 publications

(2 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where t k represents the zero-Doppler moment of the sample point, and there is a correspondence between t k and the SAR image start time t start , as shown in Equation ( 22). The symbol ∆t in Equation ( 21) represents the propagation time of radar signals from transmission to reception, which can be calculated using Equation (23).…”

Section: Baseline Calibration Methodsmentioning

confidence: 99%

“…It can overcome the slant-range measurement error caused by APC equivalence and the Doppler frequency error caused by velocity equivalence in conventional geolocation algorithms. Apart from the efforts to improve geolocation accuracy, the challenge of accelerating calculation efficiency is another issue that researchers are interested in [23]. In this paper, a low-coupling parallel calculation method is proposed, which can improve the calculation speed by two to three times.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A High-Precision Target Geolocation Algorithm for a Spaceborne Bistatic Interferometric Synthetic Aperture Radar System Based on an Improved Range–Doppler Model

Xing,

Li,

Tang

et al. 2024

Remote Sensing

View full text Add to dashboard Cite

A trend in the development of spaceborne Synthetic Aperture Radar (SAR) technology is the shift from a single-satellite repeated observation mode to a multi-satellite collaborative observation mode. However, current multi-satellite collaborative geolocation algorithms face challenges, such as geometric model mismatch and poor baseline estimation accuracy, arising from highly dynamic changes among multi-satellites. This paper introduces a high-precision and efficient geolocation algorithm for a spaceborne bistatic interferometric SAR (BiInSAR) system based on an improved range–Doppler (IRD) model. The proposed algorithm encompasses three key contributions. Firstly, a comprehensive description of the spatial baseline geometric model unique to the bistatic configuration is provided, with a specific focus on deriving the perpendicular baseline expression. Secondly, IRD geolocation functions are established to meet the specific requirements of the bistatic configuration. Then, a novel BiInSAR geolocation algorithm based on the IRD’s functions is proposed, which can significantly improve the target geolocation accuracy by modifying the range–Doppler equation to suit the bistatic configuration. Meanwhile, a low-coupling parallel calculation method is proposed, which can improve the calculation speed by two to three times. Finally, the accuracy and efficiency of the algorithm are demonstrated using experimental data acquired by the TH-2 satellite, which is China’s first spaceborne BiInSAR system. The experimental results prove that the IRD algorithm exhibits geolocation accuracy with an average error of less than 1 m and a standard deviation of less than 2.5 m while maintaining computational efficiency at a calculation speed of 1,429,678 pixels per second.

show abstract

Section: Baseline Calibration Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%