Rossi, Cristian (2016) Uncertainty assessment of single-pass TanDEM-X DEMs in selected applications. Dissertation, Technical University of Munich.
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Abstract
SAR interferometry is a well-known technique for producing surface models. In the global scale, the quality of these models significantly increased with the use of bistatic systems such as the German TanDEM-X mission. Quality can be measured in two scales: a global and a local one. A global scale quality analysis involves measures for the complete scene, characterizing the whole correctness with a single parameter. A local scale investigates instead inside the single elevation model cell, discriminating the different quality obtained by the various terrains and media present in the scene. Objective of this research is to define strategies for assessing standard and alternative elevation accuracy methods and to inspect the different capabilities of the bistatic system. Four investigations are carried out for this purpose: agricultural fields (Lake Gala, Turkey), Mediterranean hills (Serra de Collcardus, Spain), subglacial volcanoes (Bardarbunga, Iceland) and cities (Berlin, Germany).
Item URL in elib: | https://elib.dlr.de/104086/ | ||||||||
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Document Type: | Thesis (Dissertation) | ||||||||
Title: | Uncertainty assessment of single-pass TanDEM-X DEMs in selected applications | ||||||||
Authors: |
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Date: | 2016 | ||||||||
Refereed publication: | No | ||||||||
Open Access: | Yes | ||||||||
Number of Pages: | 192 | ||||||||
Status: | Published | ||||||||
Keywords: | SAR, InSAR, Digital Elevation Model, TanDEM-X, uncertainty | ||||||||
Institution: | Technical University of Munich | ||||||||
Department: | Remote Sensing Technology | ||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||
HGF - Program: | Space | ||||||||
HGF - Program Themes: | Earth Observation | ||||||||
DLR - Research area: | Raumfahrt | ||||||||
DLR - Program: | R EO - Earth Observation | ||||||||
DLR - Research theme (Project): | R - Projekt TanDEM-X (old) | ||||||||
Location: | Oberpfaffenhofen | ||||||||
Institutes and Institutions: | Remote Sensing Technology Institute | ||||||||
Deposited By: | Rossi, Cristian | ||||||||
Deposited On: | 25 Apr 2016 12:24 | ||||||||
Last Modified: | 31 Jul 2019 20:01 |
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