Please use this identifier to cite or link to this item:
http://hdl.handle.net/2117/2124
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| Title: | Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images |
| Authors: | Mora Sacristán, Óscar
Mallorquí Franquet, Jordi Joan
Broquetas Ibars, Antoni |
| Other authors: | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció |
| Keywords: | Àrees temàtiques de la UPC::Enginyeria electrònica i telecomunicacions::Radiocomunicació i exploració electromagnètica::Teledetecció
Boundary layer (Meteorology)
Radar Equipment and supplies
Signal detection
Image processing
Topography
Geophysical instruments
geophysical signal processing
radar imaging
radiowave interferometry
remote sensing by radar
synthetic aperture radar
terrain mapping
topography (Earth)
DEM
Delauney triangulation
atmospheric artifacts
coherence level
digital elevation model
filtering techniques
interferometric SAR images
linear terrain deformation maps
low spatial resolution interferograms
nonlinear terrain deformation maps
nonuniform mesh
remote sensing
synthetic aperture radar
Capa límit (Meteorologia)
Detecció del senyal
Topografia
Radar
Geofísica -- Aparells i instruments
Imatge -- Processament |
| Publisher: | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Abstract: | In this paper, an advanced technique for the generation of deformation maps using synthetic aperture radar (SAR) data is presented. The algorithm estimates the linear and nonlinear components of the displacement, the error of the digital elevation model (DEM) used to cancel the topographic terms, and the atmospheric artifacts from a reduced set of low spatial resolution interferograms. The pixel candidates are selected from those presenting a good coherence level in the whole set of interferograms and the resulting nonuniform mesh tessellated with the Delauney triangulation to establish connections among them. The linear component of movement and DEM error are estimated adjusting a linear model to the data only on the connections. Later on, this information, once unwrapped to retrieve the absolute values, is used to calculate the nonlinear component of movement and atmospheric artifacts with alternate filtering techniques in both the temporal and spatial domains. The method presents high flexibility with respect to the required number of images and the baselines length. However, better results are obtained with large datasets of short baseline interferograms. The technique has been tested with European Remote Sensing SAR data from an area of Catalonia (Spain) and validated with on-field precise leveling measurements.
Peer reviewed |
| Appears in Collections: | Documents de recerca
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