The accuracy of a digital elevation model (DEM) generated from synthetic aperture radar (SAR) interferometry (InSAR) crucially depends on the length of the perpendicular baseline between SAR acquisitions. ERS-2 and Envisat cross-InSAR (CInSAR) are superior methods to create high precise DEM because the perpendicular baseline can be extended sufficiently long by compensating a slight difference ...

Interferometric synthetic aperture radar (InSAR) processing relies on phase unwrapping to convert interferometric phase to topographic height. Phase unwrapping is a di cult non-linear process that is still the subject of on-going research. Rather than processing the complete phase image to extract a digital elevation model (DEM), we use existing coarse DEMs as an integral part of the InSAR algo...

OBJECTIVE Fototest is a short simple test, applicable to illiterate subjects and not influenced by educational level. The purpose of this study is to assess its validity for cognitive impairment (CI) and dementia (DEM) under routine clinical practice conditions. MATERIAL AND METHODS A cross-sectional, multicentre and naturalistic study conducted in General Neurology clinics. The subjects were...

Digital Elevation Models are a central information source for scene analysis, including specific tasks such as building localization and reconstruction. Whatever application is envisaged, DEM segmentation is a critical step, due to the great variability of landscapes and above-ground structures in urban areas. Moreover, a DEM may contain erroneous isolated 3D points, which have to be identified...

Interferometric Synthetic Aperture Radar (InSAR) is one of the most sufficient technologies to provide global digital elevation modeling (DEM). It unwraps the interferometric phase to provide observations for phase-to-height conversion. However, the phase gradient has great influence on the phase unwrapping quality, thereby affecting the topographic mapping accuracy. Multi-look processing can i...

Dieser Beitrag ist in dem DFG-Projekt „Entwurf und Implementierung verlustleistungsarmer Architekturen von digitalen Filtern für Software Defined Radio“ entstanden, das gemeinsam mit dem Lehrstuhl für Netzwerktheorie und Signalverarbeitung von Herrn Professor Nossek an der Technischen Universität München durchgeführt wird.

Dieser Beitrag ist in dem DFG-Projekt ” Entwurf und Implementierung verlustleistungsarmer Architekturen von digitalen Filtern für Software Defined Radio“ entstanden, das gemeinsam mit dem Institut für Informatik und Automation von Herrn Professor Simon an der Hochschule Bremen durchgeführt wird.

the objective of this study is evaluation of topographic wetness index (twi) using attraction model in northern of fars province. the first attraction model was used to enhance the spatial resolution of digital elevation model (dem). in this research to estimate of value of sub-pixels neighboring pixels, touching and quadrant neighboring models were used. after manufacturing output images for s...