Accuracy assessment using different UAV image overlaps-Reference-Cited by-同舟云学术

Accuracy assessment using different UAV image overlaps

Published:2019-09-01 Issue:3 Volume:7 Page:175-193
ISSN:2291-3467
Container-title:Journal of Unmanned Vehicle Systems
language:en
Short-container-title:J. Unmanned Veh. Sys.

Author:

Sadeq Haval A.¹²

Affiliation:

1. Geomatics (Surveying) Engineering Department, Salahaddin University-Erbil, Erbil 44002, Iraq

2. Geomatics (Surveying) Engineering Department, Salahaddin University-Erbil, Erbil 44002, Iraq.

Abstract

Unmanned aerial vehicle images are considered an important tool in close-range photogrammetry for topographic map production and 3D modelling using structure-from-motion approaches. The effect of overlap percentage in vertical and integrated vertical and oblique images on accuracy is evaluated. Analysis showed that the accuracy of the photogrammetric products (e.g., digital surface model and orthoimagery) is increased with the increased overlap percentage in vertical images. The accuracy is better when oblique images are integrated into vertical images than when only vertical images are used even with the same number of images. Furthermore, the building façade is constructed, but the building suffers from noise. Increasing the number of integrated vertical and oblique images improves the accuracy of the products and provides considerable precision to 3D modelling. This study showed that the improved result is due to the increased redundancy in image matching and optimised parameters of interior orientation through self-calibration. The images are processed using Pix4D software.

Publisher

Canadian Science Publishing

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Control and Systems Engineering

Link

http://www.nrcresearchpress.com/doi/pdf/10.1139/juvs-2018-0014

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