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Eigenvalue distributions of multi-channel radar systems can be used to predict the achievable detection performance for moving target indication. For sea data they additionally inform about the present sea state. In this paper airborne experiments with the commercially available radar system SlimSAR were performed to analyze the eigenvalue distributions of real and simulated data of land, sea and...
This paper presents a global ionospheric error model that was developed for the upcoming L-band NASA ISRO Synthetic Aperture Radar (NISAR) mission. The approach is combining statistical models with empirical data analysis to arrive at global error predictions. The model enables an assessment of capabilities and performance of the NISAR system by providing ionospheric phase noise estimates globally...
Abstract-Current methods of searching for and retrieving data from satellite land remote sensing archives do not allow for interactive information extraction. Instead, Earth science data users are required to download files over low-bandwidth networks to local workstations and process data before science questions can be addressed.
This paper focuses on deriving a realistic statistical model for ionospheric effects in low-frequency Synthetic Aperture Radar (SAR) data. The approach used to develop this statistical model is based on the assumption that, for a certain range of scales, ionospheric plasma turbulence can be considered a scale-invariant process that can be described by power-law functions or fractal statistics. Based...
Seismic simulations use finite element methods to describe ground motion. The results of such numerical simulations are often difficult to interpret for decision makers. We describe a terrain rendering engine that uses photorealistic metaphors to represent typical terrain properties without representing an actual terrain. In the context of ground motion, a simulation of the effects of various types...
The surveillance of ground areas is one of the essential tasks for modern manned and autonomous flying platforms. Especially a SAR/GMTI sensor is essential because itpsilas all weather capability, but often demands large size antennas which must be designed under aerodynamic aspects with compromises regarding the ideal SAR processing need. The customerpsilas exigency for long-term observation capabilities...
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