Multi-look polarimetric SAR image filtering using simulated annealing

Jesper Schou

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    442 Downloads (Pure)

    Abstract

    Based on a previously published algorithm capable of estimating the radar cross-section in synthetic aperture radar (SAR) intensity images, a new filter is presented utilizing multi-look polarimetric SAR images. The underlying mean covariance matrix is estimated from the observed sample covariance matrices, and by applying a set of small orientation-dependent filters in an iterative scheme, the input image becomes highly filtered while maintaining most of the structures in the scene. Results using multi-look polarimetric C-band data from the Danish airborne polarimetric SAR, EMISAR, are presented.
    Original languageEnglish
    Title of host publicationInternational Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000.
    Volume3
    PublisherIEEE
    Publication date2000
    ISBN (Print)0-7803-6359-0
    DOIs
    Publication statusPublished - 2000
    EventIEEE 2000 International Geoscience and Remote Sensing Symposium - Honolulu, HI, United States
    Duration: 24 Jul 200028 Jul 2000
    http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6913

    Conference

    ConferenceIEEE 2000 International Geoscience and Remote Sensing Symposium
    CountryUnited States
    CityHonolulu, HI
    Period24/07/200028/07/2000
    Internet address

    Bibliographical note

    Copyright 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

    Cite this