By Topic

Analysis and statistical characterization of interferometric SAR signals based on the power spectral density function

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
J. Holzner ; German Aerosp. Center, Wessling, Germany

Interferometric signal analysis is applied in many fields including filtering, parameter estimation, and interferogram processing optimization. Sample applications include the determination of terrain and orbit parameters, interferogram phase estimation, and optimal processing of synthetic aperture radar (SAR) interferograms. In this communication, the relevance of the power spectral density to interferometric SAR mode exploration and interferogram multilooking or filtering is discussed. The interferometric SAR modes include strip-map, scansar, and spotlight. For the verification of the multilooking characteristics of SAR interferograms, two frequently used filters serve as empirical reference. Based on a simplified interferometric system model and Guassian distributed scatterers, the power spectral density description is developed.

Published in:

IEEE Transactions on Geoscience and Remote Sensing  (Volume:42 ,  Issue: 5 )