Design Method of Real-Time Imaging System of The Intermittent Burst Mode SAR

Liu, Yaqi; Su, Jiaoyang; Liu, Wei; Fu, Chaowei

doi:10.23919/ciss51089.2021.9652199

Cited by 2 publications

(1 citation statement)

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“…Liu proposed a real-time geometric correction method and system for SAR images based on RD plane pixel mapping, which deduces the ground distance coordinates of each pixel of real-time SAR imaging results through imaging geometry relationships. At the same time, in the process of pixel-grid positioning, the ground distance pixel scale adjustment is realized using the ground distance coordinate [26].…”

Section: Introductionmentioning

confidence: 99%

GPU Acceleration for SAR Satellite Image Ortho-Rectification

Dong,

Zhang,

Liu

et al. 2024

Remote Sensing

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Synthetic Aperture Radar (SAR) satellite image ortho-rectification requires pixel-level calculations, which are time-consuming. Moreover, for SAR images with large overlapping areas, the processing time for ortho-rectification increases linearly, significantly reducing the efficiency of SAR satellite image mosaic. This paper thoroughly analyzes two geometric positioning models for SAR images. In order to address the high computation time of pixel-by-pixel ortho-rectification in SAR satellite images, a GPU-accelerated pixel-by-pixel correction method based on a rational polynomial coefficients (RPCs) model is proposed, which improves the efficiency of SAR satellite image ortho-rectification. Furthermore, in order to solve the problem of linearly increasing processing time for the ortho-rectification of multiple SAR images in large overlapping areas, a multi-GPU collaborative acceleration strategy for the ortho-rectification of multiple SAR images in large overlapping areas is proposed, achieving efficient ortho-rectification processing of multiple SAR image data in large overlapping areas. By conducting ortho-rectification experiments on 20 high-resolution SAR images from the Gaofen-3 satellite, the feasibility and efficiency of the multi-GPU collaborative acceleration processing algorithm are verified.

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Section: Introductionmentioning

confidence: 99%