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

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

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

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

GK - Lesnictví

OECD FORD obor

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Projekt

<a href="/cs/project/QG50097" target="_blank" >QG50097: Automatická klasifikace barevných leteckých měřických snímků v prostředí eCognition Professional 4.0</a><br>

Návaznosti

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

Rok uplatnění

2006

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

1682-1777

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

1-5

Název nakladatele

Universität Salzburg, Austria

Místo vydání

Salzburg, Rakousko

Místo konání akce

Salzburg, Rakousko

Datum konání akce

4. 7. 2006

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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