Aerial photogrammetry procedure optimized for micro uav

Anai, Tetsuji; Sasaki, Takeshi; O-Tani, Hideyuki; Osaragi, K.; Kochi, Nobuo

doi:10.5194/isprsarchives-xl-5-41-2014

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…And as this software is basically for the photogrammetry [1,4,5,9,10] , it puts importance more on measurement, comparing with other software First, by Logger we determine the correspondence of the site with the images and information obtained by GPS mounted on UAV. By this function, we can determine, on the spot, the flight position of UAV and the distribution of the control points and we can exclude the wrong coordinate system as well as the misunderstanding of the photographing position.…”

Section: Topcon Imagemasteruasmentioning

confidence: 99%

Examination About Influence for Precision of 3d Image Measurement From the Ground Control Point Measurement and Surface Matching

Anai

Kochi

Yamada

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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WG IV/7 and WG V/4KEY WORDS: 3DModeling, Accuracy, Matching, Orientation, Surface measurement, UAV ABSTRACT:As the 3D image measurement software is now widely used with the recent development of computer-vision technology, the 3D measurement from the image is now has acquired the application field from desktop objects as wide as the topography survey in large geographical areas. Especially, the orientation, which used to be a complicated process in the heretofore image measurement, can be now performed automatically by simply taking many pictures around the object. And in the case of fully textured object, the 3D measurement of surface features is now done all automatically from the orientated images, and greatly facilitated the acquisition of the dense 3D point cloud from images with high precision. With all this development in the background, in the case of small and the middle size objects, we are now furnishing the all-around 3D measurement by a single digital camera sold on the market. And we have also developed the technology of the topographical measurement with the air-borne images taken by a small UAV [1~5] . In this present study, in the case of the small size objects, we examine the accuracy of surface measurement (Matching) by the data of the experiments. And as to the topographic measurement, we examine the influence of GCP distribution on the accuracy by the data of the experiments. Besides, we examined the difference of the analytical results in each of the 3D image measurement software. This document reviews the processing flow of orientation and the 3D measurement of each software and explains the feature of the each software. And as to the verification of the precision of stereo-matching, we measured the test plane and the test sphere of the known form and assessed the result. As to the topography measurement, we used the air-borne image data photographed at the test field in Yadorigi of Matsuda City, Kanagawa Prefecture JAPAN. We have constructed Ground Control Point which measured by RTK-GPS and Total Station. And we show the results of analysis made in each of the 3D image measurement software. Further, we deepen the study on the influence of the distribution of GCP on the precision. *Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author.

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Section: Topcon Imagemasteruasmentioning

confidence: 99%

Examination About Influence for Precision of 3d Image Measurement From the Ground Control Point Measurement and Surface Matching

Anai

Kochi

Yamada

et al. 2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

Self Cite

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Single image orientation of UAV's imagery using orthogonal projection model

Tjahjadi

Agustina

2017

2017 International Symposium on Geoinformatics (ISyG)

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A 3D Shape-Measuring System for Assessing Strawberry Fruits

Kochi¹,

Tanabata²,

Hayashi³

et al. 2018

IJAT

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Plant shape measurements have conventionally been conducted in plant science by classifying their shape features, by measuring their widths and lengths with a Vernier caliper, or by similar methods. Those measurements rely heavily on human senses and manual labor, making it difficult to acquire massive data. Additionally, they are prone to large measurement differences. To cope with those problems of conventional measuring methods, we are developing a three-dimensional (3D) shape-measuring system using images and a reliable assessment technique. 3D objects enable us to assess and measure shape features with high accuracy and to automatically measure volume, which conventional methods cannot. Thus, our new system is capable of automatically and efficiently measuring objects. Our goal is to obtain wide acceptance of our method at actual research sites. Unlike industrial products, it is difficult to properly assess the measurements of plants because of their object fluctuations and shape complexities. This paper describes our automatic 3D shape-measuring system, the method for assessing measurement accuracy, and the assessment results. The measurement accuracy of the developed system for strawberry fruits is 0.6 mm or less for 90% or more of the fruit and 0.3 mm or less for 80%. This evidence supports the system’s capability of shape assessment. The developed system can fully automate photographing, measuring, and modeling objects and can semi-automatically analyze them, reducing the time required for the entire process from the conventional time of 6–7 h to 1.5 h. The developed system is designed for users with no technical knowledge so that they can easily use it to acquire 3D measurement data on plants. Thus, we intend to expand measurable objects from strawberry fruits to other plants and their parts, including leaves, stalks, and flowers

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Aerial photogrammetry procedure optimized for micro uav

Cited by 3 publications

References 6 publications

Examination About Influence for Precision of 3d Image Measurement From the Ground Control Point Measurement and Surface Matching

Examination About Influence for Precision of 3d Image Measurement From the Ground Control Point Measurement and Surface Matching

Single image orientation of UAV's imagery using orthogonal projection model

A 3D Shape-Measuring System for Assessing Strawberry Fruits

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