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Title:

Invited Student Paper--- Comparison of Photogrammetry Processing Technologies

Accession Number:

01631442

Record Type:

Component

Abstract:

Mapping a terrain used to be quite time consuming, but with new technologies, like unmanned aerial vehicles (UAVs), and photogrammetry software, the land surveying and mapping process can be much faster and more accurate. The evolutions of new technologies and especially the computer based imagery processing capabilities make it easier to produce 3D models, orthomosaic images, digital surface models (DSMs), and digital elevation models (DEMs) from a dataset. This paper presents the comparison of the technical aspects of two brands of photogrammetry software, based on the image processing results for selected terrain sites. The site chosen, Kinion Lake Dam, Rheas Mill Township, (Washington County) AR 72744, produced a dataset of 688, 4000x3000 size, images. In this study, photogrammetry software, Pix4Dmapper Pro 2.0.104 (2016) and PhotoModeler Motion 2016.0.8.1825 were used to process and export data and results. These results were used to test software accuracy by exporting to Google Earth as an overlay. Coordinates were recorded from the site using Trimble GeoExplorer and compared to overlay. This paper describes the drawbacks and advantages of each software. The functionality, user friendliness, and accuracy of Pix4Dmapper and PhotoModeler Motion are compared. Pix4Dmapper is recommended for users who are not familiar with photogrammetry software but interested in less time-consuming projects. PhotoModeler Motion is recommended for users who have photogrammetry software experience.

Supplemental Notes:

This paper was sponsored by TRB committee AFB80 Standing Committee on Geospatial Data Acquisition Technologies.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-04453

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Morris, Zaliya
Wood, Clinton
Wang, Feng

Pagination:

10p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Identifier Terms:

Google Earth

Subject Areas:

Data and Information Technology; Transportation (General)

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-04453

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:42AM