Status: Bibliographieeintrag
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| Verfasst von: | Höfle, Bernhard [VerfasserIn]  |
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| Titel: | Radiometric correction of terrestrial LiDAR Point Cloud Data for individual maize plant detection |
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| Verf.angabe: | Bernhard Höfle |
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| Jahr: | 2014 |
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| Umfang: | 5 S. |
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| Fussnoten: | Gesehen am 22.05.2025 ; Online erschienen: 20. March 2013 |
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| Titel Quelle: | Enthalten in: Institute of Electrical and Electronics EngineersIEEE Xplore digital library |
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| Ort Quelle: | New York, NY : IEEE, 2000 |
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| Jahr Quelle: | 2014 |
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| Band/Heft Quelle: | 11(2014), 1 vom: Jan., Seite 94-98 |
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| ISSN Quelle: | 2473-2001 |
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| Abstract: | Detailed geoinformation on in-field variations of plant properties (e.g., density, height) is required in precision agriculture and serves as a valuable input for plant growth models and crop management strategies. This letter presents a novel workflow for object-based point cloud analysis for individual maize plant mapping, using radiometric and geometric features of terrestrial laser scanning. The performed radiometric correction achieves a reduction of amplitude variation of homogeneous areas to 1/3 of the original variation and offers a distinct separability of the target class maize plant from soil. The developed procedure, including 3-D point cloud filtering and segmentation, is able to reliably detect single plants with a completeness and correctness . Experiments on reduced point densities show stability of detection rates above 100 points per 0.01 m2. The results indicate that the developed workflow will lead to even higher detection accuracy with LiDAR point clouds captured by mobile platforms, with less occlusion effects and more homogeneous point density. |
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| DOI: | doi:10.1109/LGRS.2013.2247022 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
kostenfrei: Volltext: https://doi.org/10.1109/LGRS.2013.2247022 |
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| | kostenfrei: Volltext: https://ieeexplore.ieee.org/document/6482592 |
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| | DOI: https://doi.org/10.1109/LGRS.2013.2247022 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Agriculture |
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| | Full-waveform |
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| | Laser radar |
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| | Lasers |
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| | LiDAR |
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| | maize |
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| | plant detection |
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| | precision agriculture |
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| | radiometric correction |
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| | Radiometry |
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| | Remote sensing |
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| | Sensors |
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| | Soil |
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| | terrestrial laser scanning (TLS) |
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| K10plus-PPN: | 1926367030 |
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| Verknüpfungen: | → Sammelwerk |
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Radiometric correction of terrestrial LiDAR Point Cloud Data for individual maize plant detection / Höfle, Bernhard [VerfasserIn]; 2014 (Online-Ressource)
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