SEGMENTATION AND CROWN PARAMETER EXTRACTION OF INDIVIDUAL TREES IN AN AIRBORNE TOMOSAR POINT CLOUD
The analysis of individual trees is an important field of research in the forest remote sensing community. While the current state-of-theart mostly focuses on the exploitation of optical imagery and airborne LiDAR data, modern SAR sensors have not yet met the interest of the research community in th...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2015-03-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W2/205/2015/isprsarchives-XL-3-W2-205-2015.pdf |
| Summary: | The analysis of individual trees is an important field of research in the forest remote sensing community. While the current state-of-theart
mostly focuses on the exploitation of optical imagery and airborne LiDAR data, modern SAR sensors have not yet met the interest
of the research community in that regard. This paper describes how several critical parameters of individual deciduous trees can be
extraced from airborne multi-aspect TomoSAR point clouds: First, the point cloud is segmented by unsupervised mean shift clustering.
Then ellipsoid models are fitted to the points of each cluster. Finally, from these 3D ellipsoids the geometrical tree parameters location,
height and crown radius are extracted. Evaluation with respect to a manually derived reference dataset prove that almost 86% of all
trees are localized, thus providing a promising perspective for further research towards individual tree recognition from SAR data. |
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| ISSN: | 1682-1750 2194-9034 |