Tensor based structure estimation in multi-channel images

Jesper Schou, Wolfgang Dierking, Henning Skriver

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

    388 Downloads (Pure)


    In this work a two-step algorithm is proposed for detecting structures in multi-channel remote sensing images. The first part is a normal low level structure detection performed on the individual images, which provides information of the strength as well as the orientation of the structure. In the second part tensors are used for representing the structure information. This approach has the advantage, that tensors can be averaged either spatially or by applying several images, and the resulting tensor provides information of the average strength as well as orientation of the structure. The performance of the algorithm is examined using multi-frequency, polarimetric SAR images from the Danish airborne EMISAR.
    Original languageEnglish
    Title of host publicationProceedings on Geoscience and Remote Sensing Symposium
    Place of PublicationHonolulu, HI
    Publication date2000
    ISBN (Print)0-7803-6359-0
    Publication statusPublished - 2000
    EventIEEE 2000 International Geoscience and Remote Sensing Symposium - Honolulu, United States
    Duration: 24 Jul 200028 Jul 2000


    ConferenceIEEE 2000 International Geoscience and Remote Sensing Symposium
    Country/TerritoryUnited States
    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


    Dive into the research topics of 'Tensor based structure estimation in multi-channel images'. Together they form a unique fingerprint.

    Cite this