scholarly journals INVESTIGATING STANDARDIZED 3D INPUT DATA FOR SOLAR PHOTOVOLTAIC POTENTIALS IN THE NETHERLANDS

2020 ◽  
Vol XLIII-B4-2020 ◽  
pp. 639-646
Author(s):  
A. Y. Amiranti ◽  
M. N. Koeva ◽  
M. Kuffer ◽  
V. van Altena ◽  
M. Post
Keyword(s):  
The Netherlands ◽  
Data Model ◽  
Image Matching ◽  
Point Cloud ◽  
Input Data ◽  
Solar Photovoltaic ◽  
Building Model ◽  
Dense Image ◽  
3D Building Model ◽  
Processing Steps

Abstract. This paper presents our contribution to the development of a standardized 3D input data model for solar photovoltaic potential estimation. Presently, different input data and processing steps influence the calculation for estimating the potential of solar energy in the Netherlands. The variety in characteristics of input data and issues with temporal accuracy extracted from the national registers and databases makes it challenging to obtain a consistent and reliable result. To address this issue, we created a point cloud dataset that integrated from LiDAR point cloud and dense image matching which is complete, recent and positionally accurate. Furthermore, we made a 3D building model from the integrated point cloud and identified the effect of finer resolution in the photovoltaic potential analysis.

scholarly journals AN INTEGRATED PHOTOGRAMMETRIC AND PHOTOCLINOMETRIC APPROACH FOR PIXEL-RESOLUTION 3D MODELLING OF LUNAR SURFACE

2018 ◽  
Vol XLII-3 ◽  
pp. 1117-1122
Author(s):  
W. C. Liu ◽  
B. Wu
Keyword(s):  
High Resolution ◽  
Lunar Surface ◽  
Image Matching ◽  
Point Cloud ◽  
3D Modelling ◽  
Conjugate Points ◽  
Stereo Pair ◽  
Pixel Resolution ◽  
Dense Image ◽  
Lunar Reconnaissance Orbiter

High-resolution 3D modelling of lunar surface is important for lunar scientific research and exploration missions. Photogrammetry is known for 3D mapping and modelling from a pair of stereo images based on dense image matching. However dense matching may fail in poorly textured areas and in situations when the image pair has large illumination differences. As a result, the actual achievable spatial resolution of the 3D model from photogrammetry is limited by the performance of dense image matching. On the other hand, photoclinometry (i.e., shape from shading) is characterised by its ability to recover pixel-wise surface shapes based on image intensity and imaging conditions such as illumination and viewing directions. More robust shape reconstruction through photoclinometry can be achieved by incorporating images acquired under different illumination conditions (i.e., photometric stereo). Introducing photoclinometry into photogrammetric processing can therefore effectively increase the achievable resolution of the mapping result while maintaining its overall accuracy. This research presents an integrated photogrammetric and photoclinometric approach for pixel-resolution 3D modelling of the lunar surface. First, photoclinometry is interacted with stereo image matching to create robust and spatially well distributed dense conjugate points. Then, based on the 3D point cloud derived from photogrammetric processing of the dense conjugate points, photoclinometry is further introduced to derive the 3D positions of the unmatched points and to refine the final point cloud. The approach is able to produce one 3D point for each image pixel within the overlapping area of the stereo pair so that to obtain pixel-resolution 3D models. Experiments using the Lunar Reconnaissance Orbiter Camera - Narrow Angle Camera (LROC NAC) images show the superior performances of the approach compared with traditional photogrammetric technique. The results and findings from this research contribute to optimal exploitation of image information for high-resolution 3D modelling of the lunar surface, which is of significance for the advancement of lunar and planetary mapping.

scholarly journals AN INSPIRE-KONFORM 3D BUILDING MODEL OF BAVARIA USING CADASTRE INFORMATION, LIDAR AND IMAGE MATCHING

2016 ◽  
Vol XLI-B4 ◽  
pp. 747-754 ◽  
Author(s):  
R. Roschlaub ◽  
J. Batscheider
Keyword(s):  
Image Matching ◽  
High Speed ◽  
State Agency ◽  
Test Plan ◽  
Research Project ◽  
Data Set ◽  
Building Model ◽  
Building Models ◽  
Joint Research Project ◽  
3D Building Model

The federal governments of Germany endeavour to create a harmonized 3D building data set based on a common application schema (the AdV-CityGML-Profile). The Bavarian Agency for Digitisation, High-Speed Internet and Surveying has launched a statewide 3D Building Model with standardized roof shapes for all 8.1 million buildings in Bavaria. For the acquisition of the 3D Building Model LiDAR-data or data from Image Matching are used as basis in addition with the building ground plans of the official cadastral map. The data management of the 3D Building Model is carried out by a central database with the usage of a nationwide standardized CityGML-Profile of the AdV. The update of the 3D Building Model for new buildings is done by terrestrial building measurements within the maintenance process of the cadaster and from image matching. In a joint research project, the Bavarian State Agency for Surveying and Geoinformation and the TUM, Chair of Geoinformatics, transformed an AdV-CityGML-Profilebased test data set of Bavarian LoD2 building models into an INSPIRE-compliant schema. For the purpose of a transformation of such kind, the AdV provides a data specification, a test plan for 3D Building Models and a mapping table. The research project examined whether the transformation rules defined in the mapping table, were unambiguous and sufficient for implementing a transformation of LoD2 data based on the AdV-CityGML-Profile into the INSPIRE schema. The proof of concept was carried out by transforming production data of the Bavarian 3D Building Model in LoD2 into the INSPIRE BU schema. In order to assure the quality of the data to be transformed, the test specifications according to the test plan for 3D Building Models of the AdV were carried out. The AdV mapping table was checked for completeness and correctness and amendments were made accordingly.

The Research on 3D Building Model Based on Point Cloud Data

2013 ◽  
Vol 368-370 ◽  
pp. 1864-1867
Author(s):  
Zuo Wei Huang ◽  
Shu He ◽  
Luo Qiu
Keyword(s):  
Point Cloud ◽  
Previous Method ◽  
Image Resolution ◽  
Point Cloud Data ◽  
Registration Accuracy ◽  
Registration Method ◽  
Cloud Data ◽  
Building Model ◽  
3D Building Model ◽  
Novel Method

In order to improve the efficiency of 3D buildings reconstruction, based on the previous related advance technology and theory, It put forward a novel method for detecting building contours in irregularly triangulated point cloud data, On the condition that image resolution and density of the point cloud scale it adopt a new registration method, improve the LIDAR point cloud data with registration accuracy on remote sensing images. which make building reconstruction from these data sources feasible and reliable. It is also meaningful for virtual reality, urban planning, and simulation of disaster scenarios etc. finally the experimental results show that the proposed method can obtain more accurate results in comparison with the previous method.

scholarly journals 3D RECONSTRUCTION WITH A COLLABORATIVE APPROACH BASED ON SMARTPHONES AND A CLOUD-BASED SERVER

2017 ◽  
Vol XLII-2/W8 ◽  
pp. 187-194 ◽  
Author(s):  
E. Nocerino ◽  
F. Poiesi ◽  
A. Locher ◽  
Y. T. Tefera ◽  
F. Remondino ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
Image Matching ◽  
Point Cloud ◽  
Point Clouds ◽  
Bundle Adjustment ◽  
Collaborative Approach ◽  
Matching Algorithm ◽  
Dense Image ◽  
Video Feed ◽  
And Performance

The paper presents a collaborative image-based 3D reconstruction pipeline to perform image acquisition with a smartphone and geometric 3D reconstruction on a server during concurrent or disjoint acquisition sessions. Images are selected from the video feed of the smartphone’s camera based on their quality and novelty. The smartphone’s app provides on-the-fly reconstruction feedback to users co-involved in the acquisitions. The server is composed of an incremental SfM algorithm that processes the received images by seamlessly merging them into a single sparse point cloud using bundle adjustment. Dense image matching algorithm can be lunched to derive denser point clouds. The reconstruction details, experiments and performance evaluation are presented and discussed.

scholarly journals POINT CLOUD CLASSIFICATION OF TESSERAE FROM TERRESTRIAL LASER DATA COMBINED WITH DENSE IMAGE MATCHING FOR ARCHAEOLOGICAL INFORMATION EXTRACTION

2017 ◽  
Vol IV-2/W2 ◽  
pp. 203-211 ◽  
Author(s):  
F. Poux ◽  
R. Neuville ◽  
R. Billen
Keyword(s):  
Information Extraction ◽  
Image Matching ◽  
Point Cloud ◽  
Laser Scanning ◽  
Relevant Information ◽  
Surface Shape ◽  
Cloud Data ◽  
Sensory Data ◽  
Knowledge Based ◽  
Dense Image

Reasoning from information extraction given by point cloud data mining allows contextual adaptation and fast decision making. However, to achieve this perceptive level, a point cloud must be semantically rich, retaining relevant information for the end user. This paper presents an automatic knowledge-based method for pre-processing multi-sensory data and classifying a hybrid point cloud from both terrestrial laser scanning and dense image matching. Using 18 features including sensor’s biased data, each tessera in the high-density point cloud from the 3D captured complex mosaics of Germigny-des-prés (France) is segmented via a colour multi-scale abstraction-based featuring extracting connectivity. A 2D surface and outline polygon of each tessera is generated by a RANSAC plane extraction and convex hull fitting. Knowledge is then used to classify every tesserae based on their size, surface, shape, material properties and their neighbour’s class. The detection and semantic enrichment method shows promising results of 94% correct semantization, a first step toward the creation of an archaeological smart point cloud.

scholarly journals AN INSPIRE-KONFORM 3D BUILDING MODEL OF BAVARIA USING CADASTRE INFORMATION, LIDAR AND IMAGE MATCHING

2016 ◽  
Vol XLI-B4 ◽  
pp. 747-754
Author(s):  
R. Roschlaub ◽  
J. Batscheider
Keyword(s):  
Image Matching ◽  
High Speed ◽  
State Agency ◽  
Test Plan ◽  
Research Project ◽  
Data Set ◽  
Building Model ◽  
Building Models ◽  
Joint Research Project ◽  
3D Building Model

The federal governments of Germany endeavour to create a harmonized 3D building data set based on a common application schema (the AdV-CityGML-Profile). The Bavarian Agency for Digitisation, High-Speed Internet and Surveying has launched a statewide 3D Building Model with standardized roof shapes for all 8.1 million buildings in Bavaria. For the acquisition of the 3D Building Model LiDAR-data or data from Image Matching are used as basis in addition with the building ground plans of the official cadastral map. The data management of the 3D Building Model is carried out by a central database with the usage of a nationwide standardized CityGML-Profile of the AdV. The update of the 3D Building Model for new buildings is done by terrestrial building measurements within the maintenance process of the cadaster and from image matching. In a joint research project, the Bavarian State Agency for Surveying and Geoinformation and the TUM, Chair of Geoinformatics, transformed an AdV-CityGML-Profilebased test data set of Bavarian LoD2 building models into an INSPIRE-compliant schema. For the purpose of a transformation of such kind, the AdV provides a data specification, a test plan for 3D Building Models and a mapping table. The research project examined whether the transformation rules defined in the mapping table, were unambiguous and sufficient for implementing a transformation of LoD2 data based on the AdV-CityGML-Profile into the INSPIRE schema. The proof of concept was carried out by transforming production data of the Bavarian 3D Building Model in LoD2 into the INSPIRE BU schema. In order to assure the quality of the data to be transformed, the test specifications according to the test plan for 3D Building Models of the AdV were carried out. The AdV mapping table was checked for completeness and correctness and amendments were made accordingly.

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