3D RECONSTRUCTION OF CITRUS TREES USING AN OMNIDIRECTIONAL OPTICAL SYSTEM

Abstract. This paper presents a feasibility study on the use of omnidirectional systems for 3D modelling of agricultural crops, aiming a systematic monitoring. Omnidirectional systems with multiple sensors have been widely used in close-range photogrammetry (CRP), which can be a good alternative to provide data for digital agriculture management. The GoPro Fusion dual-camera is the omnidirectional system used in this work. This system is composed of two cameras with fisheye lenses that cover more than 180° each one in back-to-back position. System calibration, camera orientation and 3D reconstruction of an agricultural cultivated area were performed in Agisoft Metashape software. A 360° calibration field based on coded targets (CTs) from Agisoft Metashape software was used to calibrate the omnidirectional system. The 3D reconstruction of an orange orchard was performed using fisheye images taken with GoPro Fusion. The results show the potential of using an omnidirectional system for 3D modelling in agricultural crops, in particular citrus trees. Interior orientation parameters (IOPs) was estimated using Agisoft Metashape target/software with a precision of 9 mm. A 3D reconstruction model of the orange orchard area was obtained with an accuracy of 3.8 cm, which can be considered acceptable for agricultural purposes.

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Feature-Based 3D Reconstruction Model for Close-Range Objects and Its Application to Human Finger

Communications in Computer and Information Science - Computer Vision ◽

10.1007/978-3-662-48570-5_37 ◽

2015 ◽

pp. 379-393

Author(s):

Feng Liu ◽

Linlin Shen ◽

David Zhang

Keyword(s):

3D Reconstruction ◽

Close Range ◽

Feature Based ◽

Human Finger ◽

Reconstruction Model

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3D reconstruction based on multiple views for close-range objects

10.1117/12.763572 ◽

2007 ◽

Author(s):

Zheng Ji ◽

Jianqing Zhang

Keyword(s):

3D Reconstruction ◽

Multiple Views ◽

Close Range

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EXPLORING THE APPLICABILITY OF SEMI-GLOBAL MATCHING FOR SAR-OPTICAL STEREOGRAMMETRY OF URBAN SCENES

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-2-43-2018 ◽

2018 ◽

Vol XLII-2 ◽

pp. 43-48 ◽

Cited By ~ 3

Author(s):

H. Bagheri ◽

M. Schmitt ◽

P. d’Angelo ◽

X. X. Zhu

Keyword(s):

3D Reconstruction ◽

Optical Image ◽

Urban Scenes ◽

Multiple Sensors ◽

Limited Applicability ◽

Global Matching ◽

Satellite Sensors ◽

Sar Imagery ◽

Image Pairs ◽

3D Information

Nowadays, a huge archive of data from different satellite sensors is available for diverse objectives. While every new sensor provides data with ever higher resolution and more sophisticated special properties, using the data acquired by only one sensor might sometimes still not be enough. As a result, data fusion techniques can be applied with the aim of jointly exploiting data from multiple sensors. One example is to produce 3D information from optical and SAR imagery by employing stereogrammetric methods. This paper investigates the application of the semi-global matching (SGM) framework for 3D reconstruction from SAR-optical image pairs. For this objective, first a multi-sensor block adjustment is carried out to align the optical image with a corresponding SAR image using an RPC-based formulation of the imaging models. Then, a dense image matching, SGM is implemented to investigate its potential for multi-sensor 3D reconstruction. While the results achieved with Worldview-2 and TerraSAR-X images demonstrate the general feasibility of SARoptical stereogrammetry, they also show the limited applicability of SGM for this task in its out-of-the-box formulation.

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Emissions of terpenoids, benzenoids, and other biogenic gas-phase organic compounds from agricultural crops and their potential implications for air quality

Atmospheric Chemistry and Physics Discussions ◽

10.5194/acpd-13-28343-2013 ◽

2013 ◽

Vol 13 (11) ◽

pp. 28343-28393 ◽

Cited By ~ 2

Author(s):

D. R. Gentner ◽

E. Ormeño ◽

S. Fares ◽

T. B. Ford ◽

R. Weber ◽

...

Keyword(s):

Air Quality ◽

Gas Phase ◽

Secondary Organic Aerosol ◽

Organic Aerosol ◽

San Joaquin Valley ◽

Anthropogenic Emissions ◽

Agricultural Crops ◽

Substantial Fraction ◽

Regional Air Quality ◽

Orange Orchard

Abstract. Agriculture comprises a substantial fraction of land cover in many regions of the world, including California's San Joaquin Valley, which is out of compliance with state and federal standards for tropospheric ozone and particulate matter (PM2.5). Emissions from vegetation and other biogenic and anthropogenic sources react in the atmosphere to produce ozone and secondary organic aerosol, which comprises a substantial fraction of PM2.5. Using data from three measurement campaigns, we examine emissions of reactive gas-phase organic carbon from agricultural crops and their potential to impact regional air quality relative to anthropogenic emissions in California's San Joaquin Valley. Emission rates for a suite of biogenic terpenoid compounds were measured in a greenhouse for 25 representative crops from California in 2008, and ambient measurements of terpenoids and other biogenic compounds in the volatile and intermediate-volatility organic compound range were made over an orange orchard in a rural area of the San Joaquin Valley during two seasons in 2010: summer and spring flowering. When accounting for both emissions of reactive precursors and the deposition of ozone to an orange orchard, the net effect of the orange trees is a net source of ozone in the springtime during flowering, and relatively neutral for most of the summer until the fall when it becomes a sink. Flowering was a major emission event and caused a large increase in emissions including a suite of compounds that had not been measured in the atmosphere before. Such biogenic emission events need to be better parameterized in models as they have significant potential to impact regional air quality since emissions increase by an order of magnitude. In regions like the San Joaquin Valley, the mass of biogenic emissions from agricultural crops during the summer (without flowering) and the potential ozone and secondary organic aerosol formation from these emissions are on the same order as anthropogenic emissions from motor vehicles and must be considered in air quality models and secondary pollution control strategies.

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TREE DROUGHT STRESS DETECTION BASED ON 3D MODELLING

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-annals-iv-2-w7-205-2019 ◽

2019 ◽

Vol IV-2/W7 ◽

pp. 205-210

Author(s):

Y. Xia ◽

J. Tian ◽

P. d’Angelo ◽

P. Reinartz

Keyword(s):

Computer Vision ◽

3D Model ◽

3D Modelling ◽

Stress Detection ◽

Important Goal ◽

Tree Health ◽

Plant Model ◽

Stereo Imagery ◽

Close Range ◽

Health Situation

<p><strong>Abstract.</strong> Precise and detailed reconstruction of 3D plant models is an important goal in computer vision. Based on these models, important parameters can be extracted, which would be very useful for monitoring the tree health situation. This paper has firstly constructed the 3D plant model based on MC-CNN using close-range photogrammetric imagery, and then applied a leaf index based segmentation to highlight the leaves region. In the end, the 3D model of each leaf can be represented and some geometric parameters of the leaf are designed and analyzed to predict the drought status. The experiments on real close-range stereo imagery justified the performance of the proposed approach to differentiate drought and healthy leaves.</p>

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3D modelling of industrial piping systems using digital photogrammetry and laser scanning

10.32920/ryerson.14646396 ◽

2021 ◽

Author(s):

Jingook Hong

Keyword(s):

Laser Scanning ◽

Point Clouds ◽

3D Modelling ◽

Piping System ◽

Digital Cameras ◽

Digital Photogrammetry ◽

Setup Accuracy ◽

Surface Materials ◽

Piping Systems ◽

Close Range

Industrial metrology is one of the fastest growing areas in advanced technologies, such as electronics and optics, computation speed, and it has been increased in recent years. There are several tools used in industrial metrology, such as total stations, digital photogrammetry, and laser scanning. Close range digital photogrammetry has been implemented for an industrial piping system in terms of installation, inspection, and replacement. Laser scanning is also used for industrial measurements to generate 3D coordinates points. In order to develop a 3D modelling strategy, this thesis focuses on the development, selection and design of photogrammetric procedures and project specific targets. This thesis also explores image-acquiring sensors such as digital cameras and laser scanners in terms of their capabilities and advantages. Based on experimental setup accuracy, measurements of piping systems are compared for applications of two different sensors. Effects of different surface materials are examined in laser scanning applications and several different types of materials are used for acquiring point clouds data. Measurement of pipes' diameters and residual analyses are conducted with different surface materials, which are used for industrial pipes. Significant improvement in laser scanning data acquisition is examined in terms of data quality both quantitatively and qualitatively during the residual analyses.

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Application of Multi-Baseline Digital Close-Range Photogrametry Technique in 3D Reconstruction of Underground Tomb

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.346.847 ◽

2011 ◽

Vol 346 ◽

pp. 847-851 ◽

Cited By ~ 2

Author(s):

Xing Wu ◽

Wei Feng ◽

Kai Wang

Keyword(s):

3D Reconstruction ◽

Production Efficiency ◽

Field Work ◽

Image Texture ◽

Control Points ◽

Database Technology ◽

Close Range ◽

Reconstruction Project ◽

Color Control ◽

Cultural Relics

The theory and characteristics of the multi-baseline digital close-range photogrametry were discussed to be used in cultural relics preservation. Take the 3D reconstruction project of the Yu Shan the 5th mural tomb in Ji-an as an example, two methods were put forward to measure the control points of the image without any harm to the object. Also, Tricolor cool tone electron energy conservation lamp was used to meet the strict color control of the mural images. Engineering tests show that the methods put forward could greatly reduce the field work and labor intensity with the characteristics of high accuracy, automation and efficiency. Production efficiency is improved as well. The precision of mapping and image texture satisfies the requirements of cultural relics preservation. In addition, how to manage and index such data through database technology needs further study.

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