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Detection and clustering of features in aerial images by neuron network-based algorithm

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F15%3A33157585" target="_blank" >RIV/61989592:15310/15:33157585 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1117/12.2228918" target="_blank" >http://dx.doi.org/10.1117/12.2228918</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1117/12.2228918" target="_blank" >10.1117/12.2228918</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detection and clustering of features in aerial images by neuron network-based algorithm

  • Original language description

    The paper presents the algorithm for detection and clustering of feature in aerial photographs based on artificial neural networks. The presented approach is not focused on the detection of specific topographic features, but on the combination of generalfeatures analysis and their use for clustering and backward projection of clusters to aerial image. The basis of the algorithm is a calculation of the total error of the network and a change of weights of the network to minimize the error. A classic bipolar sigmoid was used for the activation function of the neurons and the basic method of backpropagation was used for learning. To verify that a set of features is able to represent the image content from the user's perspective, the web application was compiled (ASP.NET on the Microsoft. NET platform). The main achievements include the knowledge that man-made objects in aerial images can be successfully identified by detection of shapes and anomalies. It was also found that the appropria

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    DE - Earth magnetism, geodesy, geography

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/EE2.3.20.0170" target="_blank" >EE2.3.20.0170: Building of Research Team in the Field of Environmental Modeling and the Use of Geoinformation Systems with the Consequence in Participation in International Networks and Programs</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of SPIE

  • ISBN

    978-1-5106-0058-4

  • ISSN

    0277-786X

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    1-6

  • Publisher name

    SPIE

  • Place of publication

    Bellingham (OR)

  • Event location

    Singapour

  • Event date

    Oct 23, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000367310300031