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Trace Coherence: A New Operator for Polarimetric and Interferometric SAR images

Marino, Armando (2017). Trace Coherence: A New Operator for Polarimetric and Interferometric SAR images. IEEE Transactions on Geoscience and Remote Sensing, 55(4) pp. 2326–2339.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1109/TGRS.2016.2641742
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Abstract

Quadratic forms play an important role in the development of several Polarimetric and Interferometric Synthetic Aperture Radar (Pol-InSAR) methodologies, which are very powerful tools for Earth Observation.

This work investigates integrals of Pol-InSAR operators based on quadratic forms, with special interest for the Pol-InSAR coherence. A new operator is introduced, namely Trace Coherence, that provides an approximation for the center of mass of the Coherence Region (CoRe). The latter is the locus of points on the polar plot containing all the possible coherence values. Such center of mass can be calculated as the integral of Pol-InSAR coherences over the scattering mechanisms. The Trace Coherence provides a synthetic information regarding the partial target as one single entity. Therefore, it provides a representation, which is not dependent on the selection of one specific polarization channel. It may find application in change detection (e.g. Coherent Change Detection and differential DEM), classification (e.g. building structure parameters) and modeling (e.g. for the retrieval of forest height). In calculating the integral of the Pol-InSAR coherences, an approximate Trace Coherence expression is derived and shown to improve the calculation speed by several orders of magnitude.

The Trace Coherence approximation is investigated using Monte Carlo simulations and validated ESA (DLR) L-band quad-polarimetric data acquired during the AGRISAR 2006 campaign. The result of the analysis using simulated and real data is that the average error in approximating the integral of the Coherence Region is 0.025 in magnitude and 3° in phase (in scenarios with sufficiently high coherence).

Item Type: Journal Item
Copyright Holders: 2017 IEEE
ISSN: 1558-0644
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 49090
Depositing User: Armando Marino
Date Deposited: 04 Apr 2017 14:32
Last Modified: 04 Apr 2017 14:32
URI: http://oro.open.ac.uk/id/eprint/49090
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