Classification of covariance matrix eigenvalues in polarimetric SAR for environmental monitoring applications

Addabbo, Pia and Biondi, Filippo and Clemente, Carmine and Orlando, Danilo and Pallotta, Luca (2019) Classification of covariance matrix eigenvalues in polarimetric SAR for environmental monitoring applications. IEEE Aerospace and Electronic Systems Magazine, 34 (6). pp. 28-43. ISSN 0885-8985 (https://doi.org/10.1109/MAES.2019.2905924)

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Abstract

In this paper, we describe novel techniques for automatic classification of the dominant scattering mechanisms associated with the pixels of polarimetric SAR images. Specifically, we investigate two operating scenarios. In the first scenario, it is assumed that the polarimetric image pixels locally share the same covariance (homogeneous environment), whereas the second scenario considers polarimetric pixels with different power levels and the same covariance structure (heterogeneous environment). In the second case, we invoke the Principle of Invariance to get rid of the dependence on the power levels. For both scenarios, we formulate the classification problem in terms of multiple hypothesis tests which is addressed by applying the model order selection rules. The performance analysis is conducted on both simulated and measured data and demonstrates the effectiveness of the proposed approach.

  • Item type:Article
    ID code:66809
    Dates:
    Date
    Event
    2 August 2019
    Published
    30 January 2019
    Accepted
    Notes:© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:05 Feb 2019 09:13
    Last modified:06 May 2024 10:49
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/66809
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