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Emergency Landing Site Location Using Aerial Image Segmentation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00220484" target="_blank" >RIV/68407700:21230/14:00220484 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Emergency Landing Site Location Using Aerial Image Segmentation

  • Original language description

    This paper is focused on the aerial image segmentation for the emergency landing purposes. The goal of the described method is to segment the whole given image into homogeneous regions. This paper is split into two parts, the first one describes the algorithm for a determination of classes number and the second one describes the image segmentation method. The segmentation is based on the Expectation-Maximization algorithm for the Mixture of Gaussians with the feature vector containing pixel color and position and texture of pixel neighborhood.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ICAS Proceedings

  • ISBN

    3-932182-80-4

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    ICAS

  • Place of publication

    St. Petersburg

  • Event location

    St. Peterburg

  • Event date

    Sep 7, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article