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
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DOI - Digital Object Identifier
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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
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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
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e-ISSN
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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
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