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Integrating LiDAR, Aerial Image and Ground Images for Complete Urban Building Modeling

Jinhui Hu, Suya You, Ulrich Neumann
2006 Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)  
This paper presents a hybrid modeling system that fuses LiDAR data, an aerial image and ground view images for rapid creation of accurate building models.  ...  ground view images are integrated into the model to generate fully textured CAD models.  ...  Acknowledgment This work made use of Integrated Media Systems Center Shared Facilities supported by the National Science Foundation under Cooperative Agreement No. EEC-9529152.  ... 
doi:10.1109/3dpvt.2006.82 dblp:conf/3dpvt/HuYN06 fatcat:amcq4yzpfjasxdv7kls6e5hkge

Urban 3D GIS From LiDAR and digital aerial images

Guoqing Zhou, C. Song, J. Simmers, P. Cheng
2004 Computers & Geosciences  
This paper presents a method, which integrates image knowledge and Light Detection And Ranging (LiDAR) point cloud data for urban digital terrain model (DTM) and digital building model (DBM) generation  ...  The outcome of urban 3D DSM, DTM and DBM is exported into urban database for urban 3D GIS. r  ...  We especially thank Frank Sokoloski and Qian Xiao very much for our discussion in the technology of LiDAR data processing and development of system as well as for their kind helps in LiDAR data check and  ... 
doi:10.1016/j.cageo.2003.08.012 fatcat:zjj2jy6yvng7hli4q3g26yyule

THREE-DIMENSIONAL DIGITIZATION OF ENVIRONMENTS AND BUILDINGS FOR SMART CITY APPLICATIONS

C. Altuntas
2021 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
On the other hand, indoor measurement and 3-D modelling techniques are used in the creation of building information modelling (BIM).  ...  Consequently, image based photogrammetry and dense matching methods enable low cost measurement than LiDAR based active measurement.  ...  High density (70 points/m 2 ) air LiDAR data is used for urban planning, building modelling and disaster management purposes.  ... 
doi:10.5194/isprs-archives-xlvi-4-w5-2021-65-2021 fatcat:zo7oafzhubflvjjgek4ss2c5iq

HYBRID AERIAL SENSOR DATA AS BASIS FOR A GEOSPATIAL DIGITAL TWIN

U. Bacher
2022 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Furthermore, the paper provides insights into the advantage of LiDAR data for the 3D Mesh generation for urban modelling and on the possibilities to generate new products from the combination of the single  ...  Hybrid in this context means the combination of an (oblique) camera system with a topographic LiDAR into an integrated aerial mapping system.  ...  Vegetationthe ground under vegetation cannot be modelled in an image only approach. LiDAR adds ground points and allows to represent the surface (tree crown) as well as trunk and ground.  ... 
doi:10.5194/isprs-archives-xliii-b4-2022-653-2022 fatcat:xcfmzpjdeje55feqgdpkoyr45y

AUTOMATED EXTRACTION OF BUILDINGS FROM AERIAL LIDAR POINT CLOUDS AND DIGITAL IMAGING DATASETS

A. Jamali, P. Kumar, A. Abdul Rahman
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In this paper, two automated approaches for extracting building features from the integrated aerial LiDAR point cloud and digital imaging datasets are proposed.  ...  The two automated buildings extraction approaches are tested on a fusion of aerial LiDAR point cloud and digital imaging datasets of Istanbul city.  ...  This research study presents results for extracting building objects from the integrated aerial LiDAR point cloud and digital imaging datasets where NGBDI is used for vegetation extraction for RGB images  ... 
doi:10.5194/isprs-archives-xlii-4-w16-303-2019 fatcat:hxhsnpxnnbhulppxycxycm5rei

A Multi Stage Approach for Urban Building Extraction from Remote Sensing Satellite Images

VSSN Gopala Krishna Pendyala, Hemantha Kumar Kalluri, C.V. Rao
2018 International Journal of Engineering & Technology  
This data is integrated with demographic data for various applications. High resolution Remote sensing images are widely used as primary data for automatic extraction of building information.  ...  The most important parameter for urban information system is the building information which is represented by the geographic location of the buildings as well as the area, perimeter, density, inter building  ...  The most important input for these models is the urban building information which is represented by the geographic location of the buildings in relation to the ground.  ... 
doi:10.14419/ijet.v7i4.24.21864 fatcat:ffqmtmlkdva4jlf3rkrumsj2je

A Knowledge-based Approach to Urban Feature Classification Using Aerial Imagery with Lidar Data

Ming-Jer Huang, Shiahn-Wern Shyue, Liang-Hwei Lee, Chih-Chung Kao
2008 Photogrammetric Engineering and Remote Sensing  
data and aerial imagery.  ...  Recently, lidar (light detection and ranging) data have been integrated with remotely sensed data to obtain better classification results.  ...  ., LTD for providing the lidar data and aerial imagery.  ... 
doi:10.14358/pers.74.12.1473 fatcat:risqy4ib7zffvhfzi4pdxmv674

DECISION LEVEL FUSION OF ORTHOPHOTO AND LIDAR DATA USING CONFUSION MATRIX INFORMATION FOR LNAD COVER CLASSIFICATION

S. Daneshtalab, H. Rastiveis
2017 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The aim of this study is to propose a new approach for the integration of high-resolution aerial imagery and Lidar data to improve the accuracy of classification in the city complications.  ...  Moreover, combining the extracted features of the image and Lidar data another classification is also performed using all the features.  ...  fusion of lidar data and aerial color imagery based on Bayesian theory for urban area classification.  ... 
doi:10.5194/isprs-archives-xlii-4-w4-59-2017 fatcat:usyk4tzphved7cmmpxp56fdxmy

URBAN OBJECT EXTRACTION FROM DIGITAL SURFACE MODEL AND DIGITAL AERIAL IMAGES

D. Grigillo, U. Kanjir
2012 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The paper describes two different methods for extraction of two types of urban objects from lidar digital surface model (DSM) and digital aerial images.  ...  Within the preprocessing digital terrain model (DTM) and orthoimages for three test areas were generated from aerial images using automatic photogrammetric methods.  ...  Techniques integrating lidar data and imagery can be divided into two groups (Awrangjeb et al., 2010) : techniques which use the lidar data as the primary cue for building detection and employ the imagery  ... 
doi:10.5194/isprsannals-i-3-215-2012 fatcat:bcww5zftgzcm7jymkv3hqxjqau

Extraction of Roof Planes from Different Point Clouds Using RANSAC Algorithm

Fulya GÖNÜLTAŞ, Muhammed Enes ATİK, Zaide DURAN
2020 International Journal of Environment and Geoinformatics  
It is shown that, the RANSAC algorithm detects building roofs better on the point cloud data acquired from airborne LIDAR regarding completeness within model, since aerial photogrammetric survey provides  ...  In this study, a detailed comparison was presented between aerial photogrammetry data and LIDAR data for roof plane recognition applying RANSAC (Random Sample Consensus) algorithm.  ...  With developing technology, many advantages emerge for also monitoring urbanization in urban and rural areas.  ... 
doi:10.30897/ijegeo.715510 fatcat:edpufthytbchni5q74c7fadz7u

A NEW OBJECT BASED METHOD FOR AUTOMATED EXTRACTION OF URBAN OBJECTS FROM AIRBORNE SENSORS DATA

A. Moussa, N. El-Sheimy
2012 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The proposed approach presented in this paper fuses the aerial images data with single return LIDAR data to extract buildings and trees for an urban area.  ...  The classification of urban objects such as buildings, trees and roads from airborne sensors data is an essential step in numerous mapping and modelling applications.  ...  ACKNOWLEDGEMENTS The Vaihingen data set was provided by the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF) (Cramer, 2010) : http://www.ifp.uni-stuttgart.de/dgpf/DKEP-Allg.html  ... 
doi:10.5194/isprsarchives-xxxix-b3-309-2012 fatcat:hv6kfuft3bgd5joqqvgzruxcbi

BUILDING ROOF BOUNDARY EXTRACTION FROM LiDAR AND IMAGE DATA BASED ON MARKOV RANDOM FIELD

A. P. Dal Poz, V. J. M. Fernandes
2017 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In this paper a method for automatic extraction of building roof boundaries is proposed, which combines LiDAR data and highresolution aerial images. The proposed method is based on three steps.  ...  Last step consists in identifying polylines that represent building roof boundaries. We use the Markov Random Field (MRF) model for modelling building roof characteristics and spatial configurations.  ...  CONCLUSIONS AND FUTURE WORK In this paper, a method for the automatic extraction of building roof boundaries with the integration of LiDAR data and aerial image was presented and evaluated.  ... 
doi:10.5194/isprs-archives-xlii-1-w1-339-2017 fatcat:fwqv5hzkpbf6rffudmfy4rwzgy

AUTOMATIC 3D BUILDING MODEL GENERATION FROM LIDAR AND IMAGE DATA USING SEQUENTIAL MINIMUM BOUNDING RECTANGLE

E. Kwak, M. Al-Durgham, A. Habib
2012 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Aerial imagery and LiDAR data are among the commonly combined sources to obtain 3D building models with good vertical accuracy from laser scanning and good planimetric accuracy from aerial images.  ...  The importance of accurate and up-to-date building models has been discussed by many researchers, and many different approaches for efficient building model generation have been proposed.  ...  The authors would like to thank McElhanney Consulting Services Ltd, BC, Canada for providing the real dataset and technical feedback.  ... 
doi:10.5194/isprsarchives-xxxix-b3-285-2012 fatcat:6ebgh3j5rjhntpfjgod7dxu5ye

A Two-step Displacement Correction Algorithm for Registration of Lidar Point Clouds and Aerial Images without Orientation Parameters

Huayi Wu, Yong Li, Jonathan Li, Jianya Gong
2010 Photogrammetric Engineering and Remote Sensing  
This result fulfills the requirement for the fusion of lidar range data and aerial images in most large-scale urban modeling applications.  ...  First, preprocessing is conducted to classify the lidar point clouds into ground points, building points, and aboveground, non-building points.  ...  Integrating LiDAR, aerial image and ground images for complete urban building modeling, Proceedings of 3DPVT '06, pp. 184-191. Jiang, G., T. Jiang, Y. Wang, and H. Gong, 2007.  ... 
doi:10.14358/pers.76.10.1135 fatcat:6lwgqzko7zfhrc6z2qpg6enfce

3D Building Model Reconstruction from Multi-view Aerial Imagery and Lidar Data

Liang Cheng, Jianya Gong, Manchun Li, Yongxue Liu
2011 Photogrammetric Engineering and Remote Sensing  
A novel approach by integrating multi-view aerial imagery and lidar data is proposed to reconstruct 3D building models with accurate geometric position and fine details.  ...  Finally, a new strategy for 3D building model reconstruction including automatic recovery of lost boundaries and robust reconstruction of rooftop patches is introduced.  ...  Therefore, a novel approach for the reconstruction of 3D building models with precise geometric position and fine details by integrating multi-view aerial imagery and lidar data is proposed.  ... 
doi:10.14358/pers.77.2.125 fatcat:vqdzbb7ydnegflmioc7dfa374e
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