Titlebook: GeoSpatial Visual Analytics; Geographical Informa Raffaele De Amicis,Radovan Stojanovic,Giuseppe Con Conference proceedings 2009 Springer S

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Time-Frequency Analysis for Sar and Isar Imagingd. Transformations will be compared in terms of calculation complexity and quality of the resulted radar images. Moreover, it will be demonstrated that the LPFT-based algorithm has better robustness to additive noise than the SM or the adaptive SM.

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Data Filtering and Data Fusion in Remote Sensing Systemsne of the distinguishing features of the research in sensor networks is its interdisciplinary, as it encompasses methodologies ranging from remote sensing to distributed detection or estimation and data fusion.

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Cosmo/Skymed to Support MGCP Mappingt by analyzing the signal-to-noise-ratio over areas with reflecting elements of different type. In spite of the fact that acquisitions were accomplished with the same spatial resolution, the different level of noise, characteristic of the different areas, reflect the different mapping capabilities of the sensor in the different areas.

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1874-6519 d processing.Provides a broad view on a large range of issueAccess, distribution and processing of Geographic Information (GI) are basic preconditions to support strategic environmental decision-making. The heterogeneity of information on the environment today available is driving a wide number of i

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Potentialkurven des Kommutators,ns. Afterwards, it embraces on existing and necessary technologies — especially data harmonization. Data harmonization is a crucial element in sharing pan-national data. Examples are given showing working applications of these technologies in different organizations. Finally, critical question about future and missing parts of SDI are stated.