Multi-look polarimetric SAR image filtering using simulated annealing

Jesper Schou

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    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.
    Publication date2000
    ISBN (Print)0-7803-6359-0
    Publication statusPublished - 2000
    EventIEEE 2000 International Geoscience and Remote Sensing Symposium - Honolulu, HI, United States
    Duration: 24 Jul 200028 Jul 2000


    ConferenceIEEE 2000 International Geoscience and Remote Sensing Symposium
    CountryUnited States
    CityHonolulu, HI
    Internet address

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