DocumentCode :
2851632
Title :
Accurate DEM Reconstruction from Permanent Scatterers and Multi-baseline Interferometry
Author :
Parizzi, Alessandro ; Perissin, Daniele ; Prati, Claudio ; Rocca, Fabio ; Ferretti, Alessandro
Author_Institution :
Dipt. di Elettron. e Inf., Politec. di Milano, Milan
fYear :
2006
fDate :
July 31 2006-Aug. 4 2006
Firstpage :
157
Lastpage :
160
Abstract :
The application of the Permanent Scatterers (PS) Technique in multi-temporal data-sets, namely the identification and exploitation of sparse coherent targets, has shown that it is possible to estimate and remove interferometric phase components due to atmospheric effects and orbital fringes. So far, the application of the PS technique has been focused on the extraction of the motion field of the area of interest. However, it is also known that PS relative elevations can be estimated with sub-meter precision while smooth errors can be removed using a coarse resolution DEM or the data of the Shuttle Radar Topography Mission (SRTM). In this paper, we describe a new approach combining the PS Technique and standard interferometry to improve the quality of lnSAR DEM´s. ERS Tandem interferograms are exploited to increase the number of coherent pixels, while atmospheric effects are estimated and subtracted by means of the sparse PS grid. Prior information and PS elevation are used to reduce the probability of phase-unwrapping errors. Preliminary results are reported and the key-factors for its successful application (e.g. the number of Tandem acquisitions available, PS density) are discussed.
Keywords :
digital elevation models; geophysical techniques; radar interferometry; synthetic aperture radar; ERS Tandem interferograms; InSAR DEM; Permanent Scatterers Technique; SRTM; Shuttle Radar Topography Mission; atmospheric effects; coherent pixels; interferometric phase components; motion field extraction; multibaseline interferometry; orbital fringes; phase-unwrapping errors probability; smooth errors; targets exploitation; targets identification; Data mining; Decorrelation; Image analysis; Image reconstruction; Phase estimation; Phase noise; Prototypes; Radar scattering; Surfaces; Synthetic aperture radar interferometry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
Type :
conf
DOI :
10.1109/IGARSS.2006.45
Filename :
4241192
Link To Document :
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