期刊
ROYAL SOCIETY OPEN SCIENCE
卷 5, 期 7, 页码 -出版社
ROYAL SOC
DOI: 10.1098/rsos.172192
关键词
remote sensing; photogrammetry; forest modelling; simulation; vegetation three-dimensional reconstructions; tree crown geometry
资金
- Simons Foundation [283770]
- US Forest Service titled 'Evaluation of Visual Structure from Motion Technology for Forest Inventory Field Operations'
Photogrammetry-based three-dimensional reconstruction of objects is becoming increasingly appealing in research areas unrelated to computer vision. It has the potential to facilitate the assessment of forest inventory-related parameters by enabling or expediting resource measurements in the field. We hereby compare several implementations of photogrammetric algorithms (CMVS/PMVS, CMPMVS, MVE, OpenMVS, SURE, and Agisoft PhotoScan) with respect to their performance in vegetation assessment. The evaluation is based on (a) a virtual scene where the precise location and dimensionality of objects is known a priori and is thus conducive to a quantitative comparison, and (b) using series of in-situ acquired photographs of vegetation with overlapping field of view where the photogrammetric outcomes are compared quantitatively. Performance is quantified by computing ROC curves that summarize the type-I and type-II errors between the reference and reconstructed tree models. Similar artifacts are observed in synthetic- and in-situ-based reconstructions.
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