Goebel, Mona ; Iwaszczuk, Dorota (2023)
Backpack System for Capturing 3D Point Clouds of Forests.
In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-1/W1-2023
doi: 10.5194/isprs-annals-X-1-W1-2023-695-2023
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
A 3D model can be useful for inventory management and monitoring of forests. For this task, we created a mobile mapping backpack system to scan forests. However, capturing this vegetation is difficult due to unreliable GNSS positioning, moving objects caused by winds, unclear edges, and uneven ground to walk on. We combine LiDAR and multi-spectral camera to capture the environment. The system is based on Robotic Operating System (ROS), and the scan frames are aligned using SLAM, supported by GNSS information, if available. We describe in detail our backpack system configurations and development for the forest environment and outdoor vegetation. We then evaluate the backpack system. Furthermore, we compare two open code SLAM algorithms for ROS, as well as data collection and laser scan quality between TLS and MLS for forest environment and outdoor vegetation. Finally, we tested the MicaSense multi-spectral camera for MLS applications and 3D data generation. We conclude, that the backpack shows to be convenient to use in forest environments. It can be carried easily beside forest paths and rough ground. The system collects less data than TLS, which proved to be positive.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Goebel, Mona ; Iwaszczuk, Dorota |
| Art des Eintrags: | Bibliographie |
| Titel: | Backpack System for Capturing 3D Point Clouds of Forests |
| Sprache: | Englisch |
| Publikationsjahr: | 5 Dezember 2023 |
| Verlag: | Copernicus Publications |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Jahrgang/Volume einer Zeitschrift: | X-1/W1-2023 |
| DOI: | 10.5194/isprs-annals-X-1-W1-2023-695-2023 |
| URL / URN: | https://isprs-annals.copernicus.org/articles/X-1-W1-2023/695... |
| Kurzbeschreibung (Abstract): | A 3D model can be useful for inventory management and monitoring of forests. For this task, we created a mobile mapping backpack system to scan forests. However, capturing this vegetation is difficult due to unreliable GNSS positioning, moving objects caused by winds, unclear edges, and uneven ground to walk on. We combine LiDAR and multi-spectral camera to capture the environment. The system is based on Robotic Operating System (ROS), and the scan frames are aligned using SLAM, supported by GNSS information, if available. We describe in detail our backpack system configurations and development for the forest environment and outdoor vegetation. We then evaluate the backpack system. Furthermore, we compare two open code SLAM algorithms for ROS, as well as data collection and laser scan quality between TLS and MLS for forest environment and outdoor vegetation. Finally, we tested the MicaSense multi-spectral camera for MLS applications and 3D data generation. We conclude, that the backpack shows to be convenient to use in forest environments. It can be carried easily beside forest paths and rough ground. The system collects less data than TLS, which proved to be positive. |
| Freie Schlagworte: | SLAM, LiDAR, Multi-Spectral Camera, Backpack, Mobile Mapping, Vegetation, Forest |
| Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Geodäsie 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut für Geodäsie > Fernerkundung und Bildanalyse |
| Hinterlegungsdatum: | 07 Dez 2023 07:39 |
| Letzte Änderung: | 08 Dez 2023 09:36 |
| PPN: | 513920390 |
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| Suche nach Titel in: | TUfind oder in Google |
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