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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Geoscience and ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Geoscience and Remote Sensing Letters
Article . 2006 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 2021
Data sources: DBLP
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Generation of Accurate DEMs Using DInSAR Methodology (TopoDInSAR)

Authors: Oscar Mora 0001; Román Arbiol; Vicenç Palà; Albert Adell; Marga Torre;

Generation of Accurate DEMs Using DInSAR Methodology (TopoDInSAR)

Abstract

This letter presents a new methodology for the generation of digital elevation models (DEMs) by means of differential interferometry (DInSAR) algorithms with no need for classical phase unwrapping. During the last years, several advanced DInSAR proposals have been published, most of them based on a linear deformation adjustment together with topographic error estimation. In those cases, the input data are composed of a set of differential interferograms with different temporal gaps. Consequently, interferograms are affected by severe problems of temporal decorrelation, and the estimation of the topography can only be performed over coherent pixels, which are sparsely spread over the image. The proposal presented in this letter consists in the usage of a set of highly coherent topographic interferograms as input data for an advanced DInSAR algorithm. Then, using classical linear model adjustment, a detailed DEM of the observed area is estimated. This methodology is presented jointly with results obtained by processing real data acquired by European Remote Sensing satellites 1 and 2

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Top 10%
Average
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