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Intercomparison of photogrammetry software for three-dimensional vegetation modelling

Formally Refereed
Authors: Alexandra Probst, Demetrios Gatziolis, Jean Lienard, Nikolay Strigul
Year: 2018
Type: Scientific Journal (JRNL)
Station: Pacific Northwest Research Station
Source: Royal Society Open Science. 5(7): 172192-.


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 (i) a virtual scene where the precise location and dimensionality of objects is known a priori and is thus conducive to a quantitative comparison and (ii) using series of in situ acquired photographs of vegetation with overlapping field of view where the photogrammetric outcomes are compared qualitatively. Performance is quantified by computing receiver operating characteristic curves that summarize the type-I and type-II errors between the reference and reconstructed tree models. Similar artefacts are observed in synthetic- and in situ-based reconstructions.


Remote sensing, photogrammetry, forest modelling, simulation, vegetation three-dimensional reconstructions, tree crown geometry.


Probst, Alexandra; Gatziolis, Demetrios; Lienard, Jean; Strigul, Nikolay. 2018. Intercomparison of photogrammetry software for three-dimensional vegetation modelling. Royal Society Open Science. 5(7): 172192-.