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Journal article

An error prediction framework for interferometric SAR data

From

Electronics & Signal Processing, Department of Electrical Engineering, Technical University of Denmark1

Department of Electrical Engineering, Technical University of Denmark2

Microwaves and Remote Sensing, National Space Institute, Technical University of Denmark3

National Space Institute, Technical University of Denmark4

Three of the major error sources in interferometric synthetic aperture radar measurements of terrain elevation and displacement are baseline errors, atmospheric path length errors, and phase unwrapping errors. In many processing schemes, these errors are calibrated out by using ground control points (GCPs) (or an external digital elevation model).

In this paper, a simple framework for the prediction of error standard deviation is outlined and investigated. Inputs are GCP position, a priori GCP accuracy, baseline calibration method along with a closed-form model for the covariance of atmospheric path length disturbances, and a model for phase unwrapping errors.

The procedure can be implemented as a stand-alone add-on to standard interferometric processors. It is validated by using a set of single-frame interferograms acquired over Rome, Italy, and a double difference data set over Flevoland, The Netherlands.

Language: English
Publisher: IEEE
Year: 2008
Pages: 1600-1613
ISSN: 15580644 and 01962892
Types: Journal article
DOI: 10.1109/TGRS.2008.916213
ORCIDs: Merryman Boncori, John Peter

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