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Author(s):
Schmitt, Michael; Shahzad, Muhammad; Zhu, Xiao Xiang
Title:
Reconstruction of Individual Trees from Multi-Aspect TomoSAR Data
Abstract:
The localization and reconstruction of individual trees as well as the extraction of their geometrical parameters is an important field of research in both forestry and remote sensing. While the current state-of-the-art 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 presents a prototypical processing chain for the reconstruction of individual deciduous trees:...    »
Keywords:
3D reconstruction, Forested areas, Multi-aspect, Point cloud segmentation, {SAR} tomography, synthetic aperture radar (SAR), Trees, peer_review
Journal title:
Remote Sensing of Environment
Year:
2015
Journal volume:
165
Pages contribution:
175--185
Fulltext / DOI:
doi:10.1016/j.rse.2015.05.012
Print-ISSN:
0034-4257
Notes:
00000
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