Use of SfM-MVS approach to nadir and oblique images generated throught aerial cameras to build 2.5D map and 3D models in urban areas

2019 ◽  
pp. 1-22 ◽  
Author(s):  
Massimiliano Pepe ◽  
Luigi Fregonese ◽  
Nicola Crocetto
Keyword(s):  
Urban Areas ◽  
3D Models ◽  
Oblique Images

scholarly journals CHANGING THE PRODUCTION PIPELINE – USE OF OBLIQUE AERIAL CAMERAS FOR MAPPING PURPOSES

2016 ◽  
Vol XLI-B4 ◽  
pp. 631-637
Author(s):  
K. Moe ◽  
I. Toschi ◽  
D. Poli ◽  
F. Lago ◽  
C. Schreiner ◽  
...  
Keyword(s):  
Urban Areas ◽  
Point Cloud ◽  
Reference Data ◽  
Ground Truth ◽  
Building Extraction ◽  
Camera System ◽  
Ground Truth Data ◽  
Production Pipeline ◽  
Dense Image ◽  
Oblique Images

This paper discusses the potential of current photogrammetric multi-head oblique cameras, such as UltraCam Osprey, to improve the efficiency of standard photogrammetric methods for surveying applications like inventory surveys and topographic mapping for public administrations or private customers. <br><br> In 2015, Terra Messflug (TM), a subsidiary of Vermessung AVT ZT GmbH (Imst, Austria), has flown a number of urban areas in Austria, Czech Republic and Hungary with an UltraCam Osprey Prime multi-head camera system from Vexcel Imaging. In collaboration with FBK Trento (Italy), the data acquired at Imst (a small town in Tyrol, Austria) were analysed and processed to extract precise 3D topographic information. The Imst block comprises 780 images and covers an area of approx. 4.5 km by 1.5 km. Ground truth data is provided in the form of 6 GCPs and several check points surveyed with RTK GNSS. Besides, 3D building data obtained by photogrammetric stereo plotting from a 5 cm nadir flight and a LiDAR point cloud with 10 to 20 measurements per m² are available as reference data or for comparison. The photogrammetric workflow, from flight planning to Dense Image Matching (DIM) and 3D building extraction, is described together with the achieved accuracy. For each step, the differences and innovation with respect to standard photogrammetric procedures based on nadir images are shown, including high overlaps, improved vertical accuracy, and visibility of areas masked in the standard vertical views. Finally the advantages of using oblique images for inventory surveys are demonstrated.

Oblique Aerial Image Acquisition, 3D City Modeling, 3D City Guide Project for Konya Metropolitan Municipality

2019 ◽  
pp. 1371-1385
Author(s):  
Tuncer Ozerbıl ◽  
Ergun Gokten ◽  
Mustafa Onder ◽  
Osman Selcuk ◽  
Nilhan Ciftci Sarılar ◽  
...  
Keyword(s):  
Large Scale ◽  
Image Acquisition ◽  
Spatial Database ◽  
3D Models ◽  
Aerial Image ◽  
Oracle Spatial ◽  
Building Models ◽  
City Modeling ◽  
Oblique Images ◽  
First Time

Usage of aerial oblique cameras and oblique images in generation of 3D city models has become popular all over the world in recent years and various solutions has been developed involving specialized methods and softwares. The first comprehensive step in this field was taken by Konya Metropolitan Municipality in Turkey in 2012 and the project undertaken by GEOGIS has been successfully completed in February 2014. It is the first time in Turkey that 3D city model of this large scale has been generated. The project involves: Aerial image acquisition of the project area with vertical and oblique cameras respectively and photogrammetric triangulation; Development of OttoPenta software, which can display oblique images in pentaview screen, make spatial queries and also can measure the horizontal, vertical distance and area; Digitization of roof and roof structures from vertical stereo images using photogrammetric interpretation techniques and generation of 3D solid building models using this data; Assigning building ID numbers to solid models to integrate with the GIS data of the Municipality that is available in Oracle Spatial database; Automatic texturing of 3D models with oblique images; Exporting of textured 3D models into Oracle Spatial Database in CityGML format, complying the OGC standards; and development of KNVCity software, to create and publish the 3D city guide on WEB and mobile devices. The goal of this paper is sharing the experience and knowledge that was gained during the 3D City modeling and 3D city guide project which was performed for the first time in Turkey.

scholarly journals Investigation of 3D Models Acquired with UAV Oblique Images

2021 ◽  
Author(s):  
Lütfiye KARASAKA ◽  
Hasan Bilgehan MAKİNECİ
Keyword(s):  
3D Models ◽  
Oblique Images

scholarly journals THE USE OF 3D CITY MODELS FORM OBLIQUE IMAGES ON LAND ADMINISTRATION

2017 ◽  
Vol IV-4/W4 ◽  
pp. 117-121
Author(s):  
S. Bakici ◽  
B. Erkek ◽  
E. Ayyildiz ◽  
L. Özmüş
Keyword(s):  
Urban Areas ◽  
Value Assessment ◽  
Construction Monitoring ◽  
Location Data ◽  
Land Administration ◽  
3D Data ◽  
3D Cadastre ◽  
Address Data ◽  
Oblique Images ◽  
Acquisition Method

The article 718 of the civil law saying “The ownership on property includes the air above and terrain layers below to an extent providing benefit. The structures, plants and sources are included in the content of this ownership reserving the legal restrictions” and the cadastre law no. 3402 envisage 3D Cadastre. <br><br> 3D data is required in order to perform 3D cadastre. To meet this requirement, oblique photogrammetry arises as the main data acquisition method. The data obtained by this method is used as base in 3D Cadastre and Land Administration activities. <br><br> 3D cadastre required in the context of land administration activities in Turkey demands high resolution aerial oblique images to be used in services such as real estate value assessment &amp; marketing in urban areas, urban planning, unlicensed construction monitoring &amp; city administration and making location data (national address data etc.) intelligent.

scholarly journals Using Unmanned Aerial Vehicles (UAVs) to analyze the urban environment

2019 ◽  
Vol 3 (2) ◽  
pp. 20 ◽  
Author(s):  
Efthimios Bakogiannis ◽  
Charalampos Kyriakidis ◽  
Vasileios Zafeiris
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Urban Areas ◽  
3D Models ◽  
Two Dimensions ◽  
Quality Data ◽  
Building Structures ◽  
Geospatial Information ◽  
Aerial Vehicles ◽  
Time Required ◽  
The Cost

Over the last decades, the evolution of technology has helped us to facilitate various types of works in areas related to land and property management as well as spatial planning. The exploitation of new tools and methods has prompted the international interest in the recording and modeling of geospatial information in more than two dimensions depicted in traditional projects, until then. This has contributed to address a series of issues related to intense urbanization, as well as challenges in identifying complex ownership and building structures. A relatively recent such method is the mapping of buildings and wider spatial units by using Unmanned Aerial Vehicles (UAVs) that has contributed to the production of 3D models by using the appropriate software. This technology finds resonant in recent years in Greece. However, it has not been applied to the mapping of large spatial units such as urban areas. This research paper performs a wide area mapping using UAV. Its purpose is to investigate to what extent the UAVs can do it successfully. For this reason, a brief evaluation is attempted, taking into account the accuracy of the data as well as the cost and time required in relation to traditional techniques. The result justifies the specific technique that appears to produce good quality metering and quality data while helping to save resources.

scholarly journals Making the Third Dimension (3D) Explicit in Hedonic Price Modelling: A Case Study of Xi’an, China

Land ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 24
Author(s):  
Yue Ying ◽  
Mila Koeva ◽  
Monika Kuffer ◽  
Kwabena Obeng Asiama ◽  
Xia Li ◽  
...  
Keyword(s):  
Urban Areas ◽  
3D Models ◽  
Ordinary Least Squares ◽  
Urban Environments ◽  
View Factor ◽  
Hedonic Price ◽  
Property Market ◽  
The Third ◽  
Market Factors ◽  
Third Dimension

Recent rapid population growth and increasing urbanisation have led to fast vertical developments in urban areas. Therefore, in the context of the dynamic property market, factors related to the third dimension (3D) need to be considered. Current hedonic price modelling (HPM) studies have little explicit consideration for the third dimension, which may have a significant influence on modelling property values in complex urban environments. Therefore, our research aims to narrow the cognitive gap of the missing third dimension by assessing both 2D and 3D HPM and identifying important 3D factors for spatial analysis and visualisation in the selected study area, Xi’an, China. The statistical methods we used for 2D HPM are ordinary least squares (OLS) and geographically weighted regression (GWR). In 2D HPM, they both have very low R2 (0.111 in OLS and 0.217 in GWR), showing a very limited generalisation potential. However, a significant improvement is observed when adding 3D factors, namely view quality, sky view factor (SVF), sunlight and property orientation. The obtained higher R2 (0.414) shows the importance of the third dimension or—3D factors for HPM. Our findings demonstrate the necessity to include such factors into HPM and to develop 3D models with a higher level of details (LoD) to serve more purposes such as fair property taxation.

scholarly journals UAV LINEAR PHOTOGRAMMETRY

2015 ◽  
Vol XL-3/W3 ◽  
pp. 327-333 ◽  
Author(s):  
V. Tournadre ◽  
M. Pierrot-Deseilligny ◽  
P. H. Faure
Keyword(s):  
Open Source ◽  
Ground Truth ◽  
3D Models ◽  
Bundle Adjustment ◽  
Acquisition Process ◽  
Calibration Models ◽  
All Solutions ◽  
Oblique Images ◽  
Free Open Source ◽  
Terrestrial Photogrammetry

The photogrammetric treatment of images acquired on a linear axis is a problematic case. Such tricky configurations often leads to bended 3D models, described as a bowl effect, which requires ground measurements to be fixed. This article presents different solutions to overcome that problem. All solutions have been implemented into the free open-source photogrammetric suite MicMac. The article presents the lasts evolutions of MicMac's bundle adjustment core, as well as some extended calibration models and how they fit for the camera evaluated. The acquisition process is optimized by presenting how oblique images can improve the accuracy of the orientations, while the 3D models accuracies are assessed by producing a millimeter accurate ground truth from terrestrial photogrammetry.

scholarly journals EXTRACTION AND SHAPE RECONSTRUCTION OF GUARDRAILS USING MOBILE MAPPING DATA

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1061-1068
Author(s):  
H. Matsumoto ◽  
Y. Mori ◽  
H. Masuda
Keyword(s):  
Urban Areas ◽  
Point Clouds ◽  
3D Models ◽  
Shape Reconstruction ◽  
Mobile Mapping ◽  
Mapping System ◽  
Dense Point ◽  
Mobile Mapping System ◽  
3D Shapes ◽  
Method Point

<p><strong>Abstract.</strong> The mobile mapping system (MMS) can acquire dense point-clouds of roads and roadside features. Roads are often separated into roadways and walkways in many urban areas. Since guardrails are installed to separate roadways and sidewalks, it is important to detect guardrails from point-clouds and reconstruct their 3D models for 3D street maps. Since there are a large variety of designs for guardrails in Japan, flexible methods are required for detection and reconstruction of guardrails. In this paper, we propose a new method for extracting guardrails from point-clouds, and reconstructing their 3D models. Since the MMS captures point-clouds and camera images synchronously, guardrails are detected using both point-clouds and images. In our method, point-clouds are segmented into small segments, and corresponding images are cropped from camera images. Then cropped images are classified into two classes of guardrails and others using the convolutional neural network. When guardrail points are obtained, 3D models of guardrails are reconstructed. However, point-clouds of guardrails are too sparse to reconstruct 3D shapes when guardrails consist of thin pipes. Since the same unit shape repeatedly appears in a guardrail, we create dense point-clouds by superimposing points of unit shapes. Then we reconstruct 3D shapes of pipes, beams, and poles of guardrails. In our evaluation using point-clouds in urban areas, our method could achieve good results of extraction and shape reconstruction of guardrails.</p>

scholarly journals INTEGRATION OF AERIAL, MMS, AND BACKPACK IMAGES FOR SEAMLESS 3D MAPPING IN URBAN AREAS

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 443-449
Author(s):  
Z. Li ◽  
B. Wu ◽  
Y. Li
Keyword(s):  
Spatial Data ◽  
Urban Areas ◽  
Three Dimensional ◽  
3D Models ◽  
Bundle Adjustment ◽  
3D Mapping ◽  
Data Infrastructure ◽  
Recent Developments ◽  
3D Mesh Model ◽  
Combined Structure

Abstract. Photorealistic three-dimensional (3D) models play an indispensable role in the spatial data infrastructure (SDI) of a smart city. Recent developments in aerial oblique photogrammetry, and the popularity of terrestrial mobile mapping systems (MMSs) offer possibilities for deriving 3D models with centimeter-level accuracy in urban areas. Additionally, advances in image matching and bundle adjustment have allowed 3D models derived from the integration of aerial and ground imagery to overcome typical problems related to 3D mapping in urban areas (e.g., geometric defects, blurred textures on building façades). Nevertheless, this approach may not be suitable for all scenarios owing to innate differences between each platform. Besides, MMS images may not cover regions that cannot be reached by mobile vehicles in urban areas (e.g., narrow alleys, areas far from roads). Meanwhile, backpack systems have garnered attention from the photogrammetry community in recent years due to their flexibility, and regions neglected in previous works can be adequately reconstructed from images collected by backpack systems. This paper presents an approach for effectively integrating multi-source images collected by aerial, MMS, and backpack platforms for seamless 3D mapping in urban areas. The approach includes three main steps: (1) data pre-processing, (2) combined structure-from-motion, and (3) optimal generation of a textured 3D mesh model. The experimental results using aerial, MMS, and backpack datasets collected in a typical urban area in Hong Kong demonstrate the promising performance of the proposed approach. The described work is significant for boosting various types of imagery for integrated 3D mapping in both city scale and street level to facilitate various applications.

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