Title | ||
---|---|---|
Marker-Free Registration of Forest Terrestrial Laser Scanner Data Pairs With Embedded Confidence Metrics. |
Abstract | ||
---|---|---|
Terrestrial laser scanning (TLS) has emerged as an effective tool for rapid comprehensive measurement of object structure. Registration of TLS data is an important prerequisite to overcome the limitations of occlusion. However, due to the high dissimilarity of point cloud data collected from disparate viewpoints in the forest environment, adequate marker-free registration approaches have not been ... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/TGRS.2016.2539219 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Vegetation,Software,Imaging,Measurement,Three-dimensional displays,Manuals,Iterative closest point algorithm | Pairwise comparison,Computer vision,Laser scanning,A priori estimate,Remote sensing,Forest inventory,Mean squared error,Pose,Artificial intelligence,Point cloud,Image registration,Mathematics | Journal |
Volume | Issue | ISSN |
54 | 7 | 0196-2892 |
Citations | PageRank | References |
3 | 0.41 | 10 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
david kelbe | 1 | 13 | 2.09 |
jan van aardt | 2 | 33 | 10.55 |
paul romanczyk | 3 | 14 | 2.53 |
Martin van Leeuwen | 4 | 32 | 5.16 |
kerry cawsenicholson | 5 | 15 | 2.33 |