PolSAR covariance structure detection and classification based on the EM algorithm

Han, Sudan and Addabbo, Pia and Biondi, Filippo and Clemente, Carmine and Orlando, Danilo and Ricci, Giuseppe; (2022) PolSAR covariance structure detection and classification based on the EM algorithm. In: 2022 IEEE 9th International Workshop on Metrology for AeroSpace (MetroAeroSpace). IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace) . IEEE, ITA, pp. 254-258. ISBN 9781665410762 (https://doi.org/10.1109/metroaerospace54187.2022.9...)

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Abstract

This paper proposes a new method for clustering polarimetric synthetic aperture radar images by leveraging the peculiar characteristics of the polarimetric covariance matrix (PCM). Specifically, the feature used for classification is the PCM structure. To this end, the problem of detecting and classifying spatial variations in PCM structure is formulated as a multiple hypothesis test, where one null hypothesis and multiple alternative hypotheses are present. The estimation problems are solved by resorting to hidden random variables representative of covariance structure classes in conjunction with the expectation-maximization algorithm. These estimates are then used to form a penalized likelihood ratio test. The effectiveness of the proposed detection strategies is demonstrated on real polarimetric SAR data.

ORCID iDs

Han, Sudan, Addabbo, Pia, Biondi, Filippo, Clemente, Carmine ORCID logoORCID: https://orcid.org/0000-0002-6665-693X, Orlando, Danilo and Ricci, Giuseppe;
  • Item type:Book Section
    ID code:86621
    Dates:
    Date
    Event
    18 August 2022
    Published
    27 June 2022
    Published Online
    27 March 2022
    Accepted
    Notes:© 2022 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:31 Aug 2023 10:31
    Last modified:11 Nov 2024 15:30
    URI:https://strathprints.strath.ac.uk/id/eprint/86621
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