SARLab
Fakultäten » Mathematisch-naturwissenschaftliche Fakultät » Geographisches Institut » Fernerkundung/Remote Sensing Laboratories » Prof. Dr. Michael Schaepman » SARLab
Completed research project
| Title / Titel | SAR-Processing | ||||||||
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| Abstract (PDF, 14 KB) | |||||||||
| Summary / Zusammenfassung | Synthetic Aperture Radar (SAR) is a popular active remote sensing technique to obtain digital images of large areas, independent of the prevailing weather situation (cloud coverage, rain, snow, fog) or day- and night-time. SAR images need an initial focusing procedure to make the information available to the user. The Modular SAR Processor (MSP) developed at our laboratory allows the handling of complex SAR signals from spaceborne and airborne radar carriers and processes raw data from different systems of various design. Prominent sensors supported are the spaceborne ALOS PALSAR, Envisat ASAR and ERS-1/2, JERS-1, SIR-C (Space Shuttle) as well as RADARSAT-1. Airborne data may be processed from systems operating with carrier frequencies between a few hundred Megahertz (P-Band) and close to 100 Gigahertz (W-Band). The amplitude (reflected intensity) information of processed SAR scenes may be used for land monitoring, while the phase information is often exploited much further to generate digital surface models or for temporal change detection through interferometric techniques, implemented in our internally developed interferometric SAR processing chains. Since these methods rely on accurate phase information in the original complex signal, the processor must comply with phase-preservation requirements. To retain the phase information of the SAR signal, and thus to allow physically limited focusing of the image, the processor must include special modules that handle effects of irregular motion of the (airborne) sensor platform. Hence, another main task of our research is the correct assessment of the flight track of a sensor, based on differential Global Positioning System (DGPS) and inertial measurement units (IMU). On-going activities focus on the extension of the existing software packages to support new sensors and to implement additional information extraction techniques. Several focusing techniques are implemented and integrated into the processor. The frequency domain algorithms include the classic range-Doppler approach as well as omega-k and chirp scaling implementations. In the time-domain, much work has been conducted towards a fully operational backprojection algorithm for air- and spaceborne sensors. Weitere Informationen |
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| Publications / Publikationen | Frey, O; Meier, E (2011). 3-D time-domain SAR imaging of a forest using airborne multibaseline data at L- and P-bands. IEEE Transactions on Geoscience and Remote Sensing, 49(10):3660-3664.Frey, O; Meier, E (2010). Analyzing Tomographic SAR Data of a Forest with Respect to Frequency, Polarization, and Focusing Technique. In: International Geoscience and Remote Sensing Symposium, Honolulu, USA, 25 July 2010 - 30 July 2010, 150-153.Frey, O; Magnard, C; Rüegg, M; Meier, E (2009). Focusing of airborne synthetic aperture radar data from highly nonlinear flight tracks. IEEE Transactions on Geoscience and Remote Sensing, 47(6):1844 -1858.Frey, O; Magnard, C; Rüegg , M; Meier, E (2008). Focusing SAR data acquired from non-linear sensor trajectories. In: IEEE International Geoscience & Remote Sensing Symposium , Boston, US, 06 July 2008 - 11 July 2008, 415-418. | ||||||||
| Keywords / Suchbegriffe | SAR Signal Processing, Spaceborne/Airborne SAR, SAR Focusing, Motion Compensation, Time-Domain SAR Processing, Frequency-Domain SAR Processing | ||||||||
| Project leadership and contacts / Projektleitung und Kontakte |
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| Funding source(s) / Unterstützt durch |
Other Public Sources (e.g. Federal or Cantonal Agencies) |
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| In collaboration with / In Zusammenarbeit mit |
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| Duration of Project / Projektdauer | Jan 1995 to Dec 2012 |