Mathematically optimized trajectory for terrestrial close-range photogrammetric 3D reconstruction of forest stands

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Mathematically optimized trajectory for terrestrial close-range photogrammetric 3D reconstruction of forest stands

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Mathematically optimized trajectory for terrestrial close-range photogrammetric 3D reconstruction of forest stands

Popis výsledku anglicky

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

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20705 - Remote sensing

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

ISSN

0924-2716

e-ISSN

—

Svazek periodika

178

Číslo periodika v rámci svazku

2021

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

23

Strana od-do

259-281

Kód UT WoS článku

000669954900018

EID výsledku v databázi Scopus

2-s2.0-85109027260