Generation of digital elevation models by using SIR-C/X-SAR multifrequency two-pass interferometry: the Etna case study

The authors exploit the interferometric multifrequency potentiality of the SIR-C/X-SAR system which is equipped with an L-, C-, and X-band sensor. They present a solution to improve the unwrapping performance of the C- and X-band data by considering the L-band unwrapped pattern. A new algorithm for...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 1996-09, Vol.34 (5), p.1097-1114
Main Authors: Lanari, R., Fornaro, G., Riccio, D., Migliaccio, M., Papathanassiou, K.P., Moreira, J.R., Schwabisch, M., Dutra, L., Puglisi, G., Franceschetti, G., Coltelli, M.
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Coherence
Combining
Crystalline rocks
Decorrelation
Digital elevation models
Earth sciences
Earth, ocean, space
Environmental engineering
Exact sciences and technology
Fusion power generation
Geology
Height
Igneous and metamorphic rocks petrology, volcanic processes, magmas
Interferometry
L-band
Mathematical models
Numerical analysis
Power generation
Q1
Remote sensing
Sensor systems
Sensors
Testing
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Summary:The authors exploit the interferometric multifrequency potentiality of the SIR-C/X-SAR system which is equipped with an L-, C-, and X-band sensor. They present a solution to improve the unwrapping performance of the C- and X-band data by considering the L-band unwrapped pattern. A new algorithm for the generation of a single digital elevation model (DEM) combining L-, C-, and X-band information is presented. This solution is based on the fusion of the unwrapped phase patterns by using a Kalman filter. The proposed fusion operation also accounts for the coherence characteristics of the three data sets. The selected test site is the Mt. Etna region in Italy which is very interesting from the volcanological and geological point of view. Numerical assessments of the achieved results are provided by evaluating the height accuracy with respect to a reference DEM.
ISSN:0196-2892
1558-0644
DOI:10.1109/36.536526