All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

HÁJEK, F., 2006. Object analysis of Ikonos XS and pan-sharpened imagery in comparison for purpose of tree species estimation. In: S. Lang, T. Blaschke and E. Schöpfer (eds.): Proceedings of the 1st International Conference on Object-based Image Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A_____%2F06%3AR0124868" target="_blank" >RIV/60460709:_____/06:R0124868 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    HÁJEK, F., 2006. Object analysis of Ikonos XS and pan-sharpened imagery in comparison for purpose of tree species estimation. In: S. Lang, T. Blaschke and E. Schöpfer (eds.): Proceedings of the 1st International Conference on Object-based Image Analysis

  • Original language description

    Increasing demands on the level of accuracy, repeatability and cost are being made on large scale forest inventories during last years. The amount of terrestrial field work can be efficiently reduced by the application of traditional remote sensing methods such as manual aerial photo interpretation. However, this often requires the high level of expert knowledge and thus development of the automated classification methods is desired for operational forestry. In the same time, many studies showed that standalone optical RS techniques are insufficient for classification of complex forest structures and suggests the fusion of image data with the 3D information either from laser scanning or stereo-matching from high resolution digital surveys. Mapping of young succession stages and heterogeneous mature stands might be of particular use for such techniques. The study proposes a deeper analysis of the optical input for the knowledge-based classification systems. It shows that for purpose of

  • Czech name

    Objektová analýza družicových snímků Ikonos XS a Pan-sharpened v porovnání z hlediska stanovení druhového složení lesa

  • Czech description

    Objektová analýza družicových snímků Ikonos XS a Pan-sharpened v porovnání z hlediska stanovení druhového složení lesa

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    GK - Forestry

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/QG50097" target="_blank" >QG50097: Automated classification of colour aerial photographs using eCognition Professional 4.0 software</a><br>

  • Continuities

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

Others

  • Publication year

    2006

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    1st International Conference on Object-based Image Analysis (OBIA 2006)

  • ISBN

    1682-1777

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    1-5

  • Publisher name

    Universität Salzburg, Austria

  • Place of publication

    Salzburg, Rakousko

  • Event location

    Salzburg, Rakousko

  • Event date

    Jul 4, 2006

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article