Use of texture features in discrimination of sea ice types in SAR images

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    2 Citations (Scopus)

    Abstract

    Ice movement algorithms usually require a suitable number of high-contrast features to be present in two consecutive images. These features should be imaged in a consistent way. A set of texture features was tested to increase the contrast or separability between flat ice or ridged ice and open water or new thin ice (nilas). To quantify the improvement in the separability of the selected ice types, a classification of the SAR images was carried out separately for the original data and the texture image.
    Original languageEnglish
    Title of host publicationRemote Sensing Science for the Nineties
    Subtitle of host publication10th Annual International Symposium on Geoscience and Remote Sensing
    EditorsRonnie Mills
    Place of PublicationPiscataway
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages2229-2232
    Volume1
    DOIs
    Publication statusPublished - 1990
    MoE publication typeA4 Article in a conference publication
    Event10th Annual International Symposium on Geoscience and Remote Sensing, IGARSS 90 - College Park, United States
    Duration: 20 May 199024 May 1990

    Conference

    Conference10th Annual International Symposium on Geoscience and Remote Sensing, IGARSS 90
    CountryUnited States
    CityCollege Park
    Period20/05/9024/05/90

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