Research on Radar Spatial-Temporal Data Fusion

Spatial-temporal data fusion technology enhances image quality by merging Spatio-Temporal data of different resolutions. In the radar field,improving distance resolution often comes at the cost of reducing velocity resolution,and vice versa,making it difficult to simultaneously obtain high spatial accuracy and high temporal density data. To address this issue,this paper introduces spatio-temporal fusion technology from the satellite domain for radar data analysis,integrating multiple radar datasets to optimize low-precision data with high-precision data,thereby generating high-quality radar data with high Spatio-Temporal resolution. This method significantly enhances the resolution and application value of radar data in monitoring and analysis.

Authors

Publication Details

Published
2024-11-23
DOI
https://doi.org/10.1109/icngn63705.2024.10871819
Primary Topic
Automated Road and Building Extraction
Type
article
Field-Weighted Citation Impact
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Research on Radar Spatial-Temporal Data Fusion

Lv Shujun, Tang Xiao, Yamin Hu, Lei Liu et al.
Automated Road and Building Extraction
article

Research on Radar Spatial-Temporal Data Fusion

Lv Shujun, Tang Xiao, Yamin Hu, Lei Liu, Jun Hu, Hu Yahui
article en

Abstract

Spatial-temporal data fusion technology enhances image quality by merging Spatio-Temporal data of different resolutions. In the radar field,improving distance resolution often comes at the cost of reducing velocity resolution,and vice versa,making it difficult to simultaneously obtain high spatial accuracy and high temporal density data. To address this issue,this paper introduces spatio-temporal fusion technology from the satellite domain for radar data analysis,integrating multiple radar datasets to optimize low-precision data with high-precision data,thereby generating high-quality radar data with high Spatio-Temporal resolution. This method significantly enhances the resolution and application value of radar data in monitoring and analysis.

Openalex Percentile: Top 64%
Automated Road and Building Extraction
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