EVALUATING DENSE 3D RECONSTRUCTION SOFTWARE PACKAGES FOR OBLIQUE MONITORING OF CROP CANOPY SURFACE

Abstract

Abstract. Crop Surface Models (CSMs) are 2.5D raster surfaces representing absolute plant canopy height. Using multiple CMSs generated from data acquired at multiple time steps, a crop surface monitoring is enabled. This makes it possible to monitor crop growth over time and can be used for monitoring in-field crop growth variability which is useful in the context of high-throughput phenotyping. This study aims to evaluate several software packages for dense 3D reconstruction from multiple overlapping RGB images on field and plot-scale. A summer barley field experiment located at the Campus Klein-Altendorf of University of Bonn was observed by acquiring stereo images from an oblique angle using consumer-grade smart cameras. Two such cameras were mounted at an elevation of 10 m and acquired images for a period of two months during the growing period of 2014. The field experiment consisted of nine barley cultivars that were cultivated in multiple repetitions and nitrogen treatments. Manual plant height measurements were carried out at four dates during the observation period. The software packages Agisoft PhotoScan, VisualSfM with CMVS/PMVS2 and SURE are investigated. The point clouds are georeferenced through a set of ground control points. Where adequate results are reached, a statistical analysis is performed.

Plant phenotyping relevance

複数の画像から作成した3D再構成ソフトウェアを評価し、作物群落高を推定する手法の性能を実測値と比較して検証しているため、植物フェノタイピング手法が中心です。

Code and data availability

The paper describes oblique stereo imagery of a barley field experiment, CSM generation, and statistical analysis, but provides no public deposit of the imagery, phenotype measurements, point clouds, or analysis code. The only URLs mentioned (CROP.SENSe.net project site, GRASS GIS add-on manual, Agisoft forum, SiftGPU)

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