Title
Reconstruction of Coherent Pairs of Synthetic Aperture Radar Data Acquired in Interrupted Mode
Abstract
A number of synthetic aperture radar (SAR) systems might work in interrupted operation for different purposes. Examples are cooperative bistatic SAR systems with a synchronization link between the transmitter and receiver or multistatic systems operating in receive-only mode, among others. As a direct consequence, the acquired raw data contain missing echoes presented in a periodical or random pattern. Since the missing raw data introduce artifacts in the processed images, recovery methods have to be applied. Usually, spectral-estimation-based interpolators can be used to recover data. Although such algorithms show good performance for pointlike targets, their efficiency is decreased for distributed scatterers. In this paper, we propose, for a coherent pair of SAR images, the use of the common information in one image to reconstruct the other and vice versa. The conditions required for the proper use of the approach are discussed, and the method is verified using simulated data. One special case of study is the TanDEM-X mission, where the cooperative nature of the bistatic operation requires the periodic exchange of information between the satellites in order to gather information for calibration and synchronization, creating a periodic missing data pattern in the raw data. For this case of study, the reconstruction methods based on spectral estimation are analyzed, and the proposed reconstruction using cross-information is validated.
Year
DOI
Venue
2015
10.1109/TGRS.2014.2350255
IEEE T. Geoscience and Remote Sensing
Keywords
Field
DocType
azimuth,synchronisation,synchronization,calibration,radar imaging,image reconstruction,synthetic aperture radar,apertures,sar,coherence
Radar engineering details,Computer vision,Radar imaging,Synthetic aperture radar,Side looking airborne radar,Remote sensing,Inverse synthetic aperture radar,Bistatic radar,Artificial intelligence,Missing data,Passive radar,Mathematics
Journal
Volume
Issue
ISSN
53
4
0196-2892
Citations 
PageRank 
References 
5
0.64
11
Authors
6
Name
Order
Citations
PageRank
Muriel Pinheiro1499.41
Marc Rodriguez-Cassola223329.96
Pau Prats-Iraola333540.39
Andreas Reigber467070.53
Gerhard Krieger5925128.25
Alberto Moreira61360200.32