Estimation of tree Stem attributes using terrestrial photogrammetry with a camera rig
| Autor: | Mona Forsman, Niclas Börlin, Johan Holmgren |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Computer and Information Sciences
Skogsvetenskap Forest Science Data- och informationsvetenskap lcsh:QK900-989 circle estimation Remote Sensing Datorseende och robotik (autonoma system) mobile mapping lcsh:Plant ecology forest inventory stem diameter Computer Vision and Robotics (Autonomous Systems) point cloud |
| Zdroj: | Forests, Vol 7, Iss 3, p 61 (2016) |
| DOI: | 10.3390/f7030061 |
| Popis: | We propose a novel photogrammetric method for field plot inventory, designed for simplicity and time efficiency on-site. A prototype multi-camera rig was used to acquire images from field plot centers in multiple directions. The acquisition time on-site was less than two minutes. From each view, a point cloud was generated using a novel, rig-based matching of detected SIFT keypoints. Stems were detected in the merged point cloud, and their positions and diameters were estimated. The method was evaluated on 25 hemi-boreal forest plots of a 10-m radius. Due to difficult lighting conditions and faulty hardware, imagery from only six field plots was processed. The method performed best on three plots with clearly visible stems with a 76% detection rate and 0% commission. Dieameters could be estimated for 40% of the stems with an RMSE of 2.8-9.5 cm. The results are comparable to other camera-based methods evaluated in a similar manner. The results are inferior to TLS-based methods. However, our method is easily extended to multiple station image schemas, something that could significantly improve the results while retaining low commission errors and time on-site. Furthermore, with smaller hardware, we believe this could be a useful technique for measuring stem attributes in the forest. |
| Databáze: | OpenAIRE |
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