DocumentCode
2229174
Title
Ionosar - collaborative research towards understanding and mitigating ionospheric effects in SAR
Author
Meyer, F.J. ; Papathanassiou, K. ; Kim, J.S. ; Pi, X. ; Freeman, A. ; Chotoo, K. ; Groves, K. ; Jones, E.
Author_Institution
Geophys. Inst., Univ. of Alaska Fairbanks, Fairbanks, AK, USA
fYear
2012
fDate
22-27 July 2012
Firstpage
6039
Lastpage
6042
Abstract
The theoretical framework necessary to facilitate the mitigation of ionospheric physical effects on amplitude and phase of low-frequency space-based synthetic aperture radars (SAR) is presented. By way of a unique research collaboration the authors have developed mathematical and stochastic descriptors of the spatio-temporal structure and its impact on SAR signals passing through the ionosphere during different levels of scintillation. The authors have developed a prototype integrated ionospheric processor that combines multiple existing and newly developed correction methods with the goal to maximize correction robustness and accuracy. For the first time, realistic stochastic models describing the amplitude and spatial structure the ionosphere were developed and validated; thereby, allowing the study and discovery of the origin of SAR image artifacts that are caused by ionosphere scintillation; i.e., a noise-like high frequency phase distortion.
Keywords
geophysical image processing; ionospheric electromagnetic wave propagation; ionospheric techniques; stochastic processes; synthetic aperture radar; IonoSAR; SAR image artifacts; SAR signals; correction methods; correction robustness; ionosphere scintillation; ionospheric effects; ionospheric physical effects; low-frequency space-based synthetic aperture radars; mathematical descriptor; noise-like high frequency phase distortion; prototype integrated ionospheric processor; realistic stochastic models; scintillation levels; spatiotemporal structure; stochastic descriptor; Coherence; Data models; Faraday effect; Ionosphere; Predictive models; Stochastic processes; Synthetic aperture radar; Calibration; Ionosphere; Signal Correction; Synthetic Aperture Radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6352230
Filename
6352230
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