Pulse-based internal calibration of polarimetric SAR

Jørgen Dall, Niels Skou, Erik Lintz Christensen

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    Abstract

    Internal calibration greatly diminishes the dependence on calibration target deployment compared to external calibration. Therefore the Electromagnetics Institute (EMI) at the Technical University of Denmark (TUD) has equipped its polarimetric SAR, EMISAR, with several calibration loops and developed a procedure for calibrating the entire system except a few passive components which must be measured in the laboratory. The calibration procedure has great potential as it takes into account the SAR point target response (PTR) unlike most other internal calibration schemes. However, it requires a highly stable system
    Original languageEnglish
    Title of host publicationProceedings of the International Geoscience and Remote Sensing Symposium : Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation
    PublisherIEEE
    Publication date1994
    Pages2205-2208
    ISBN (Print)0-7803-1497-2
    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

    Dall, J., Skou, N., & Christensen, E. L. (1994). Pulse-based internal calibration of polarimetric SAR. In Proceedings of the International Geoscience and Remote Sensing Symposium: Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation (pp. 2205-2208). IEEE. https://doi.org/10.1109/IGARSS.1994.399693