Measurements of forest structures by combining different point cloud data

DOI

10.2991/iceep-16.2016.96How to use a DOI?

Keywords

LiDAR; multi-view dense match point cloud; Forest structural parameters extraction

Abstract

It is useful to monitor forests by extracting parameters from LiDAR and aerial imagery. Reconstructing them can be challenging using only LiDAR because it is difficult to extract exact parameters. Therefore, using aerial images, we can obtain a digital surface model by matching, extract a digital terrain model by filtering, and generate a canopy height model(). In forests, we obtain a point cloud from stereo images by using a multi-view dense matching algorithm, and then fuse the results to generate a high-density digital surface model. Finally, we can extract the plant information by combining the LiDAR and matched point cloud.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Tao Wang
PY  - 2016/11
DA  - 2016/11
TI  - Measurements of forest structures by combining different point cloud data
BT  - Proceedings of the 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016)
PB  - Atlantis Press
SP  - 549
EP  - 552
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-16.2016.96
DO  - 10.2991/iceep-16.2016.96
ID  - Wang2016/11
ER  -