Mathematically optimized trajectory for terrestrial close-range photogrammetric 3D reconstruction of forest stands
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F21%3A89660" target="_blank" >RIV/60460709:41320/21:89660 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/abs/pii/S0924271621001714" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S0924271621001714</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.isprsjprs.2021.06.013" target="_blank" >10.1016/j.isprsjprs.2021.06.013</a>
Alternative languages
Result language
angličtina
Original language name
Mathematically optimized trajectory for terrestrial close-range photogrammetric 3D reconstruction of forest stands
Original language description
Terrestrial close-range photogrammetry offers a low-cost method of three-dimensional (3D) reconstruction of forest stands that provides automatically processable 3D data that can be used to evaluate inventory parameters of forest stands and individual trees. However, fundamental methodological problems in image acquisition and processing remain. This study enhances the methodology of photogrammetric Structure from Motion reconstruction of forest stands by determining the best photographer s trajectory for image acquisition. The study comprises 1) mathematical optimization of the route in a square grid using integer programming, 2) evaluation of point clouds derived from sequences of real photographs, simulating different trajectories, and 3) verification on real trajectories. In a forest research plot, we established a 1 m square grid of 625 (i.e., 25 x 25) photographic positions, and at each position, we captured 16 photographs in uniformly spaced directions. We adopted real tree positions and diame
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20705 - Remote sensing
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
ISSN
0924-2716
e-ISSN
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Volume of the periodical
178
Issue of the periodical within the volume
2021
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
23
Pages from-to
259-281
UT code for WoS article
000669954900018
EID of the result in the Scopus database
2-s2.0-85109027260