UNSUPERVISED STATISTICAL APPROACH FOR TREE-LEVEL SEPARATION OF FOLIAGE AND NON-LEAF COMPONENTS FROM POINT CLOUDS
Accurately classifying foliage and non-leaf components in point clouds is essential for remote sensing forest applications. Existing methods rely on radiometric attributes or local geometric features, often requiring time-consuming manual labelling. In this paper, we propose a statistical approach u...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Copernicus Publications
2023-12-01
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| سلاسل: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| الوصول للمادة أونلاين: | https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1787/2023/isprs-archives-XLVIII-1-W2-2023-1787-2023.pdf |
| الوسوم: |
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