2021
DOI: 10.3390/rs13101888
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Elevation Spatial Variation Analysis and Compensation in GEO SAR Imaging

Abstract: Due to geosynchronous synthetic aperture radar’s (GEO SAR) high orbit and low relative speed, the integration time reaches up to hundreds of seconds for a fine resolution. The short revisit cycle is essential for remote sensing applications such as disaster monitoring and vegetation measurements. Three-dimensional (3D) scene imaging mode is crucial for long-term observation using GEO SAR. However, this mode will bring a new kind of space-variant error in elevation. In this paper, we focus on the analysis of th… Show more

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Cited by 6 publications
(8 citation statements)
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“…The conclusion is also reached that the algorithm can work well under low-SNR conditions. The results obtained in [1,2] are of great practical meaning and can be easily applied in GEO SAR wide swath terrain observation.…”
Section: Overview Of Contributionsmentioning
confidence: 95%
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“…The conclusion is also reached that the algorithm can work well under low-SNR conditions. The results obtained in [1,2] are of great practical meaning and can be easily applied in GEO SAR wide swath terrain observation.…”
Section: Overview Of Contributionsmentioning
confidence: 95%
“…In [1,2], the authors worked with signal processing in geosynchronous synthetic aperture radar (GEO SAR) imaging. Compared with low earth orbit SAR (LEO SAR), geosynchronous synthetic aperture radar (GEO SAR) has many advantages, such as its high resolution and wide swath and being unaffected by national boundaries and meteorological conditions.…”
Section: Overview Of Contributionsmentioning
confidence: 99%
See 2 more Smart Citations
“…The high order Taylor expansion slant range model is adopted in the GEO SAR systems [16,17]. Calculation of the azimuth frequency difference between the beginning and ending positions within the synthetic aperture time is the basic idea of azimuth bandwidth B a calculation, as shown in Equation ( 10) [18].…”
Section: Accurate Doppler Modelmentioning
confidence: 99%