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Individual tree crowns delineation using local maxima approach and seeded region growing technique

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67179843%3A_____%2F11%3A00359864" target="_blank" >RIV/67179843:_____/11:00359864 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Individual tree crowns delineation using local maxima approach and seeded region growing technique

  • Original language description

    Remote sensing applications in forestry can profit from a rapid development of optical sensors. Applied algorithms should be suited to the new properties of the data (very high resolution and wide spectral range). Segmentation of the image into objects is an important task in forestry applications of optical remote sensing. Segmentation of individual tree crowns involves two parts ? detection and delineation phase. Local maxima approach and seeded region growing technique are presented as the key concepts. Furthermore improvements, namely histogram equalization and Voronoi diagram, are incorporated. Two datasets were processed and results of the segmentation are presented. Hyperspectral data with spatial resolution of 0.8m were found as a suitable forsegmentation process with 84% and 78% accuracy of detection phase and 64% and 52% accuracy in delineation phase respectively. Finally discussion of recommended settings in the algorithm is presented.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    EH - Ecology - communities

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/SP%2F2D1%2F70%2F08" target="_blank" >SP/2D1/70/08: ForChange - forest ecosystems status and changes indication related to the global change based on anylysis ecophysiological processes and remote sensing</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    GIS Ostrava 2011. Eight international symposium. Ostrava, Czech Rrepbublic , January 2011

  • ISBN

    978-80-248-2406-2

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    27-39

  • Publisher name

    Technical university

  • Place of publication

    Ostrava

  • Event location

    Ostrava

  • Event date

    Jan 24, 2011

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article