scholarly journals Virtual Reconstruction System of Building Spatial Structure Based on Laser 3D Scanning under Multivariate Big Data Fusion

2021 ◽  
Author(s):  
Yuan Liang ◽  
Marcin Woźniak
Keyword(s):  
Big Data ◽  
Spatial Structure ◽  
Laser Scanner ◽  
3D Scanning ◽  
Space Structure ◽  
Noise Interference ◽  
Data Registration ◽  
3D Model Reconstruction ◽  
Virtual Reconstruction ◽  
Depth Study

Abstract Existing systems have disadvantages such as slow running speed, long time-consuming, and poor rendering effect in virtual reconstruction of architectural spatial structure. In order to solve such problems, virtual reconstruction system of building space structure is designed using laser 3D scanning technology under condition of fusion of multiple big data. The system was equipped with a 3D laser scanner and connected to computer, and the noise interference was reduced by image preprocessing module to complete the hardware design. The system improved user interface and maintenance module. Eventually, 3D model reconstruction was realized via data acquisition, data registration, coordinate transformation and 3D rendering. The results show that the system designed in this paper runs fast, and color of reconstruction results is consistent, which indicates that reconstruction results of building space structure obtained by the system are conducive to in-depth study of building space.

scholarly journals Detecting the Competition between Moso Bamboos and Broad-Leaved Trees in Mixed Forests Using a Terrestrial Laser Scanner

Forests ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 520 ◽  
Author(s):  
Yingjie Yan ◽  
Mingpeng Xia ◽  
Shaohui Fan ◽  
Meichun Zhan ◽  
Fengying Guan
Keyword(s):  
Spatial Structure ◽  
Laser Scanning ◽  
Mixed Forest ◽  
Laser Scanner ◽  
Phyllostachys Pubescens ◽  
Mixed Forests ◽  
Individual Trees ◽  
Convex Hull Algorithm ◽  
Intensity Of Competition ◽  
Multiple Interactions

The growth of individual trees in a forest is affected by many factors, a crucial one being the intensity of competition among trees, because it affects the spatial structure of the forest and is in turn influenced by silvicultural practices. In a mixed forest in particular, the growth of trees is affected by multiple interactions. To analyse the competition between moso bamboo (Phyllostachys pubescens (Pradelle) Mazel ex J.Houz.) and broad-leaved trees in a mixed forest, data were extracted by sampling six spots within such a forest using terrestrial laser scanning (TLS). The convex hull algorithm was used for calculating the overlap volume between the crowns of the broad-leaved trees and the bamboo canopy. Bamboos growing at least 3 m away from any of the broad-leaved trees were the most numerous and the diameter at breast height (DBH) is larger than those growing closer than that, which suggests that broad-leaved trees suppressed the growth of bamboo if they are closer but promote it beyond 3 m up to a point at which the distance is too great for any such effect. The modified Hegyi’s competition index was constructed based on the canopy factor, which may better describe the competitive interaction among the trees and bamboos. Using TLS can enhance our understanding of the competition among trees in mixed forests and help in planning the spatial structure of such forests in general and provide a benchmark for choosing planting distances in particular.

scholarly journals 3D MODELING FOR THE KNOWLEDGE OF ARCHITECTURAL HERITAGE AND VIRTUAL RECONSTRUCTION OF ITS HISTORICAL MEMORY

2017 ◽  
Vol XLII-2/W3 ◽  
pp. 133-139
Author(s):  
M. Campi ◽  
A. di Luggo ◽  
S. Scandurra
Keyword(s):  
Point Cloud ◽  
Historical Memory ◽  
Laser Scanner ◽  
Residential Building ◽  
Original Structure ◽  
Architectural Heritage ◽  
Current State ◽  
Virtual Reconstruction ◽  
The Subject ◽  
The University

The object of this paper is one of the most ancient palaces of Naples, Palazzo Penne, a fourteenth-century residential building located on a small high ground which originally was in the outer fringe of the built up area in a privileged position enabling to enjoy the landscape and gulf beauty. This building, which today is in the heart of the historical center, was the subject of an extensive analysis and documentary research, as well as of metric laser scanner survey carried out by the group researchers working at the Interdepartmental Centre of Research Urban Eco of the University of Naples Federico II. <br><br> Starting from <i>scan to bim</i> systems the creation of a parametric model of the current state of the building is completed, by bringing the point cloud elements back to objects to which historical and construction data can be associated. <br><br> Moreover starting from acquired data, the 3D model shows the reconstructive hypothesis of the original structure and the virtual reconstruction of the building based on traces found on-site and on the comparison with coeval creations allowing to properly hypothesize the design of point features.

Registration of Building Intensity Image and its Color Image Using SIFT Algorithm

2014 ◽  
Vol 638-640 ◽  
pp. 2160-2163
Author(s):  
Gui Hua Cang ◽  
Jian Ping Yue
Keyword(s):  
Laser Scanning ◽  
Color Image ◽  
Laser Scanner ◽  
Digital Camera ◽  
Intensity Data ◽  
Scale Invariant ◽  
Sift Algorithm ◽  
Data Registration ◽  
Intensity Image ◽  
2D Data

Fusion of close range photogrammetry (CRP) and terrestrial laser scanning (TLS) technology has been a hot topic in the field of building reconstruction. There are many ways to realize the fusion of the two kind data. In this paper, we propose a method for 3D-2D data registration based on Scale Invariant Feature Transform (SIFT) algorithm and range intensity data. 3D terrestrial laser scanner and digital camera are different sensors, which will lead to large difference between intensity image (derived from range intensity data) and color image. The traditional image matching method can not apply to register these kind images. This paper focuses on studying the feasibility and practicability of SIFT algorithm on such different images matching. The result shows that the principal of SIFT method is suitable for the registration of the two kind images.

scholarly journals Changes in the spatial and temporal characteristics of inbound tourism flows in Tibet based on geotagged photographs

2021 ◽  
Vol 251 ◽  
pp. 03009
Author(s):  
HuaJian Gao ◽  
NaiXia Mou
Keyword(s):  
Big Data ◽  
High Sensitivity ◽  
Temporal Characteristics ◽  
Image Sharing ◽  
Tibet Autonomous Region ◽  
Inbound Tourism ◽  
Depth Study ◽  
Spatio Temporal ◽  
Tourism Flows ◽  
Spatial And Temporal Characteristics

With the further advent of the era of big data, the scale of social media data containing geolocation information is exploding, providing a new source of big data information and perspective for an in-depth study of the changing spatio-temporal and geographical characteristics of the current tourist population. This paper extracts data on popular attractions in the Tibet Autonomous Region using the HDBSCAN algorithm combined with the TF-IDF algorithm based on information on images with geotags shared by users in the Flickr image sharing site from 2005-2018. Social network analysis was used to explore the changes in the spatial and temporal characteristics of inbound tourism flows in Tibet. The results show that: (1) in terms of temporal characteristics, the number of inbound tourists shows obvious off-peak seasons, with relatively high sensitivity to the influence of economic, policy and infrastructure construction factors; (2) in terms of spatial distribution characteristics, the inbound tourism flow in Tibet shows an “axis-scattered” distribution. The core area is centred on Lhasa and extends in three directions: west, north and east along important roads.

scholarly journals Application of Analytics in Machine Vision using Big Data

2019 ◽  
Vol 7 (4) ◽  
Author(s):  
Noha Elfiky
Keyword(s):  
Big Data ◽  
Spatial Structure ◽  
Image Classification ◽  
Large Scale ◽  
Spatial Information ◽  
Image Representation ◽  
Structural Description ◽  
Bag Of Words ◽  
Spatial Image ◽  
3D Scene

The Bag-of-Words (BoW) approach has been successfully applied in the context of category-level image classification. To incorporate spatial image information in the BoW model, Spatial Pyramids (SPs) are used. However, spatial pyramids are rigid in nature and are based on pre-defined grid configurations. As a consequence, they often fail to coincide with the underlying spatial structure of images from different categories which may negatively affect the classification accuracy.The aim of the paper is to use the 3D scene geometry to steer the layout of spatial pyramids for category-level image classification (object recognition). The proposed approach provides an image representation by inferring the constituent geometrical parts of a scene. As a result, the image representation retains the descriptive spatial information to yield a structural description of the image. From large scale experiments on the Pascal VOC2007 and Caltech101, it can be derived that SPs which are obtained by the proposed Generic SPs outperforms the standard SPs.

Use of Laser Scanner for Digital Surveying of the Sarnicli Inn and the Byzantine Cistern Underneath

2017 ◽  
pp. 227-254
Author(s):  
Gülhan Benli ◽  
Eylem Görmüş Ekizce
Keyword(s):  
Cultural Heritage ◽  
Protected Areas ◽  
Laser Scanning ◽  
Laser Scanner ◽  
3D Scanning ◽  
Measurement Methods ◽  
Advanced Technology ◽  
Laser Scanners ◽  
Close Range ◽  
Photogrammetric Measurement

Measurement methods including traditional measurement methods, topographic and photogrammetric measurement methods, measurements via laser scanning devices and aerial photogrammetric measurement methods obtained using model airplane or model helicopters are used in documentation of the cultural heritage and protected areas in our country. Although data obtained by Aerial Lidar technology accepted as advanced technology over the past decade, enables faster data comparing to others as data obtained by terrestrial laser scanners provide millimetre level accuracy close-range scanning methods are preferred in architectural facades scanning during the process of surveying of a single building. Inclusion process of a Byzantine cistern in Istanbul, Turkey, which was undiscovered for centuries, in our cultural heritage as well as surveying stages of the cistern along with the inn structure built over, using 3D scanning technology shall be described within this study.

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