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Residual Motion Estimation for Multi-Squint Airborne SAR

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dc.contributor.author Hawkins, Brian
dc.contributor.author Michel, Thierry
dc.contributor.author Hensley, Scott
dc.date.accessioned 2021-10-29T21:07:34Z
dc.date.available 2021-10-29T21:07:34Z
dc.date.issued 2020-07-19
dc.identifier.citation IGARSS 2020 - IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, Hawaii, July 19-24, 2020
dc.identifier.clearanceno CL#20-0504
dc.identifier.uri http://hdl.handle.net/2014/52305
dc.description.abstract Airborne SAR data are often challenging to analyze due tothe limited accuracy of the platform motion measurements.In interferometric scenarios, even small residual motion er-rors cause undesirable artifacts in the interferometric phaseand geometric registration of image pairs. Various calibrationtechniques have been developed, often exploiting spectral di-versity in some way. The UAVSAR L-band system has imple-mented a new operating mode where multiple images are ac-quired simultaneously at different azimuth squint angles, pro-viding enhanced opportunities for motion calibration. Thispaper describes this imaging mode and the residual motioncalibration technique developed for these special data sets.
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US
dc.publisher Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2020
dc.title Residual Motion Estimation for Multi-Squint Airborne SAR
dc.type Preprint


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