Application of unmanned aerial vehicle(UAV)image automatic stitching
 in landscape planning based on Agisoft PhotoScan

doi:10.3969/j.issn.1000-2006.201707004

Application of unmanned aerial vehicle(UAV)image automatic stitching in landscape planning based on Agisoft PhotoScan

DAI Tingting, MA Jun, XU Yannan

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2018, Vol. 42 ›› Issue (04) : 165-170.

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JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2018, Vol. 42 ›› Issue (04) : 165-170. DOI: 10.3969/j.issn.1000-2006.201707004

Application of unmanned aerial vehicle(UAV)image automatic stitching in landscape planning based on Agisoft PhotoScan

DAI Tingting, MA Jun, XU Yannan^*

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Abstract

Abstract: 【Objective】Based on the developing trends of landscape architecture planning, this paper presents a three-dimensional visualization model for the study area to provide pre-analysis data for the planning and design of large-scale landscape architecture. 【Method】Nanjing Shence Gate Park was selected as the research site, and the primary data were acquired using a small unmanned aerial vehicle(UAV)via measurement of low latitude. The Agisoft PhotoScan software could be used for data processing, including the alignment and optimization of an input image, the orientation extraction of a dense point cloud, and the establishment of a triangulated irregular network(TIN)and a digital ortho image map(DOM). The complete DOM of the research area could then be established based on the three-dimensional visualization model. The ArcGIS and ENVI softwares could be used alongside this for quantitative spatial information analysis.【Result】The correlation coefficient between the observed global positioning system(GPS)value and the UAV, which, as determined using the linear regression equation, is high at R=0.994. According to the spatial analysis conducted using ArcGIS, the green area in Shence Gate Park covered 36 974.78 m². The table of land use types in the study area was obtained through the supervised classification(maximum likelihood classification)conducted using ENVI, and the research area was divided into four different land use types: water, green land, buildings and roads, and the green land rate was 64.34%.【Conclusion】The Agisoft PhotoScan software could automatically stitch UAV images with high precision. The stitched image had the advantage of timeliness and exhibits a large scale range, which could effectively create a mosaic of multi-UAV images and extract the geographical information of the site required for pre-analysis during landscape planning and design, and allowed the information to be quantitatively analyzed.

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DAI Tingting, MA Jun, XU Yannan. Application of unmanned aerial vehicle(UAV)image automatic stitching in landscape planning based on Agisoft PhotoScan[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2018, 42(04): 165-170 https://doi.org/10.3969/j.issn.1000-2006.201707004

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