External polarimetric calibration of the Danish polarimetric C-band SAR

Henning Skriver, Jørgen Dall, Søren Nørvang Madsen

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    Abstract

    Results of applying two cross-talk removal algorithms (Klein's and Quegan's methods) based on natural distributed targets to the Danish polarimetric airborne SAR (EMISAR) are presented. Also, a new approach of obtaining robust estimates by the algorithms is proposed. The approach is based on a masking procedure using the cross-correlation between co- and cross-polarized returns. The cross-talk estimated for the EMISAR data is low (below -30 dB), virtually independent of range, and stable between different acquisitions-within a mission and between missions. The cross-talk is reduced by 8 dB after correction to less than -38 dB.
    Original languageEnglish
    Title of host publicationProceedings of the International Geoscience and Remote Sensing Symposium
    VolumeVolume 2
    PublisherIEEE
    Publication date1994
    Pages1105-1107
    ISBN (Print)07-80-31497-2
    DOIs
    Publication statusPublished - 1994
    Event1994 International Geoscience and Remote Sensing Symposium: Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation - Pasadena, CA, United Arab Emirates
    Duration: 8 Aug 199412 Aug 1994

    Conference

    Conference1994 International Geoscience and Remote Sensing Symposium
    CountryUnited Arab Emirates
    CityPasadena, CA
    Period08/08/199412/08/1994

    Bibliographical note

    Copyright: 1994 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

    Skriver, H., Dall, J., & Madsen, S. N. (1994). External polarimetric calibration of the Danish polarimetric C-band SAR. In Proceedings of the International Geoscience and Remote Sensing Symposium (Vol. Volume 2, pp. 1105-1107). IEEE. https://doi.org/10.1109/IGARSS.1994.399357