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Haze Removal for High-Resolution Satellite Data: a Case Study

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F07%3A01142105" target="_blank" >RIV/68407700:21110/07:01142105 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Haze Removal for High-Resolution Satellite Data: a Case Study

  • Original language description

    Haze removal from IKONOS data was performed by means of a technique based on the haze optimized transform (HOT) together with a second step in which the haze component estimated from HOT was masked both for water bodies and urban features responsible forhigh HOT values

  • Czech name

    Odstranění zákalu pro družicová data extrémně vysokého rozlišení - příkladová studie

  • Czech description

    Zákal byl odstraněn použitím metody založené na metodě haze optimized transform (HOT) použité spolu s dalším krokem, v němž složka zákalu odhadnutá z HOT byla maskována pro vodní plochy a městské oblasti s vysokými hodnotami HOT.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    DE - Earth magnetism, geodesy, geography

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2007

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal of Remote Sensing

  • ISSN

    0143-1161

  • e-ISSN

  • Volume of the periodical

    28

  • Issue of the periodical within the volume

    110

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    19

  • Pages from-to

    2187-2205

  • UT code for WoS article

  • EID of the result in the Scopus database