Accuracy of reconstruction of the tree stem surface using terrestrial close-range photogrammetry

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F16%3A72084" target="_blank" >RIV/60460709:41320/16:72084 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.3390/rs8020123" target="_blank" >http://dx.doi.org/10.3390/rs8020123</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/rs8020123" target="_blank" >10.3390/rs8020123</a>

Result language

angličtina

Original language name

Accuracy of reconstruction of the tree stem surface using terrestrial close-range photogrammetry

Original language description

Airborne laser scanning (ALS) allows for extensive coverage, but the accuracy of tree detection and form can be limited. Although terrestrial laser scanning (TLS) can improve on ALS accuracy, it is rather expensive and area coverage is limited. Multi-view stereopsis (MVS) techniques combining computer vision and photogrammetry may offer some of the coverage benefits of ALS and the improved accuracy of TLS. MVS combines computer vision research and automatic analysis of digital images from common commercial digital cameras with various algorithms to reconstruct three-dimensional (3D) objects with realistic shape and appearance. Despite the relative accuracy (relative geometrical distortion) of the reconstructions available in the processing software, the absolute accuracy is uncertain and difficult to evaluate. We evaluated the data collected by a common digital camera through the processing software (Agisoft PhotoScan) for photogrammetry by comparing those by direct measurement of the 3D magnetic mot

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

GK - Forestry

OECD FORD branch

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Project

<a href="/en/project/QJ1520187" target="_blank" >QJ1520187: Development of Unmanned Aerial Vehicles for forest monitoring</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Name of the periodical

Remote Sensing

ISSN

2072-4292

e-ISSN

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Volume of the periodical

8

Issue of the periodical within the volume

2

Country of publishing house

NN -

Number of pages

13

Pages from-to

1-13

UT code for WoS article

000371898800011

EID of the result in the Scopus database

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