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
Link To Document :
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