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Autor(en):
Schmitt, Michael; Shahzad, Muhammad; Zhu, Xiao Xiang 
Titel:
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:...    »
 
Stichworte:
3D reconstruction, Forested areas, Multi-aspect, Point cloud segmentation, {SAR} tomography, synthetic aperture radar (SAR), Trees, peer_review 
Zeitschriftentitel:
Remote Sensing of Environment 
Jahr:
2015 
Band / Volume:
165 
Seitenangaben Beitrag:
175--185 
Print-ISSN:
0034-4257 
Hinweise:
00000