Paper Info
Title
Reconstruction of missing data in interferometric SAR systems
Abstract
Missing echoes in the raw data introduce artifacts that might be noticeable in processed SAR images. As a consequence, recovery methods must be applied to ensure the high quality of the images. Although spectral estimation based interpolators are suitable for the recovery of point-like targets, their efficiency is poor for distributed ones. In this paper we propose a new reconstruction method for interferometric systems, which uses the common information in one image of a coherent pair to recover the other and vice versa. Since a typical example of missing data happens when acquiring with the bistatic mode of TanDEM-X, the proposed method is verified with data from a bistatic TanDEM-X survey in addition to simulated data. The results show that the proposed reconstruction can significantly improve the accuracy of the resulting interferograms.
Year
DOI
Venue
2013
10.1109/IGARSS.2013.6723220
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
image reconstruction,radar interferometry,synthetic aperture radar,TanDEM-X,bistatic mode,interferometric SAR systems,missing data reconstruction,Image restoration,Interferometry,Synthetic Aperture Radar
Iterative reconstruction,Computer vision,Spectral density estimation,Radar imaging,Interferometric synthetic aperture radar,Computer science,Synthetic aperture radar,Remote sensing,Inverse synthetic aperture radar,Bistatic radar,Artificial intelligence,Missing data
Conference
ISSN
ISBN
Citations 
2153-6996
978-1-4799-1114-1
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Muriel Pinheiro1499.41
Marc Rodriguez-Cassola223329.96
Pau Prats-Iraola333540.39
Gerhard Krieger4925128.25
Andreas Reigber567070.53
Alberto Moreira61360200.32
Rodriguez-Cassola, M.7111.69
Prats-Iraola, P.8332.68