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A Method for Detecting Windows from Mobile Lidar Data

Ruisheng Wang, Frank P. Ferrie, Jane Macfarlane
<span title="2012-11-01">2012</span> <i title="American Society for Photogrammetry and Remote Sensing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kdyocotdxbbllpnjlbhkgfpogi" style="color: black;">Photogrammetric Engineering and Remote Sensing</a> </i> &nbsp;
In this paper, we present an automatic approach to window and façade detection from mobile LiDAR data.  ...  The proposed method combines bottom-up with topdown strategies to extract façade planes from noisy LiDAR point clouds.  ...  Conclusions and Future Work We have proposed an automatic approach to window detection from mobile LiDAR data. The input is a chunk of LiDAR data, and the output is a detected façade and windows.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14358/pers.78.11.1129">doi:10.14358/pers.78.11.1129</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kkrdu7vrirf2npdsnqucmmogoi">fatcat:kkrdu7vrirf2npdsnqucmmogoi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180127234351/http://www.ucalgary.ca:80/rswang/files/rswang/windowdetectionfrommobilelidardata_accepted.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a8/a8/a8a8dc48ef2ba0e184ac2509c1d2e3336bd7e92a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14358/pers.78.11.1129"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Digital Urban Morphometrics: Automatic Extraction and Assessment of Morphological Properties of Buildings

Cláudio Carneiro, Eugenio Morello, Thomas Voegtle, François Golay
<span title="">2010</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/gptxt6ipcfbfxptodcjwkm56di" style="color: black;">Transactions on GIS</a> </i> &nbsp;
This work is intended to give a first response to the lack of a comprehensive and accurate procedure that uses LiDAR data in order to automatically derive precise morphological properties, such as volumes  ...  and surfaces (façades and roofs) of buildings.  ...  of raw LiDAR point datasets.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1111/j.1467-9671.2010.01218.x">doi:10.1111/j.1467-9671.2010.01218.x</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qg4orwgamvh53hoqch3vtfb2ba">fatcat:qg4orwgamvh53hoqch3vtfb2ba</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170819012604/https://infoscience.epfl.ch/record/151698/files/tgis_1218.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/77/61/776144b6c47bd549063e89c81da20131e377cba6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1111/j.1467-9671.2010.01218.x"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Solar Energy Potential Assessment on Rooftops and Facades in Large Built Environments Based on LiDAR Data, Image Processing, and Cloud Computing. Methodological Background, Application, and Validation in Geneva (Solar Cadaster)

Gilles Desthieux, Claudio Carneiro, Reto Camponovo, Pierre Ineichen, Eugenio Morello, Anthony Boulmier, Nabil Abdennadher, Sébastien Dervey, Christoph Ellert
<span title="2018-03-22">2018</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/h7lnw4rbqjgednsde3b7oomjq4" style="color: black;">Frontiers in Built Environment</a> </i> &nbsp;
This integrated tool is based on the use of LiDAR, 2D and 3D cadastral data.  ...  Such good validation results make the proposed model a reliable tool to: (i) automatically process solar cadaster on building rooftops and facades at large urban scales and (ii) support solar energy planning  ...  They would also like to thank Miguel Brito, Cristina Catita, Paula Redweik, and Sara Freitas from the Faculty of Sciences University of Lisbon, for the exchange of ideas and for carrying out some comparative  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fbuil.2018.00014">doi:10.3389/fbuil.2018.00014</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ywxwmvvjbrflfgj4hjr3dglcj4">fatcat:ywxwmvvjbrflfgj4hjr3dglcj4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190304155542/http://pdfs.semanticscholar.org/bfde/de0e426e8ecb94e507ad117684f9e0e42783.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bf/de/bfdede0e426e8ecb94e507ad117684f9e0e42783.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fbuil.2018.00014"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a>

A SLIDING WINDOW METHOD FOR DETECTING CORNERS OF OPENINGS FROM TERRESTRIAL LIDAR DATA

J. Li, B. Xiong, F. Biljecki, G. Schrotter
<span title="2018-09-12">2018</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i74shj7anreaxjo327fokng66m" style="color: black;">The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
We demonstrate the performance of the proposed approach on the static and mobile terrestrial LiDAR data with inhomogeneous point density.  ...  With derived symmetry information from statistical analysis, border lines of the changes are extracted and intersected generating corner points of openings.  ...  We would like to thank the Singapore Land Authority (SLA) and Philipp URECH from Ecosystem Services in Urban Landscapes Group at the Future Cities Laboratory, for providing the terrestrial point cloud  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xlii-4-w10-97-2018">doi:10.5194/isprs-archives-xlii-4-w10-97-2018</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ju3cjf4n6nf55p6elz55hcrrye">fatcat:ju3cjf4n6nf55p6elz55hcrrye</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190426204251/https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W10/97/2018/isprs-archives-XLII-4-W10-97-2018.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/14/5d/145d22025ccfaca45f0aea51a251133ab2e9dc71.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xlii-4-w10-97-2018"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Joint combination of point cloud and DSM for 3D building reconstruction using airborne laser scanner data

F. Tarsha-Kurdi, T. Landes, P. Grussenmeyer
<span title="">2007</span> <i title="IEEE"> 2007 Urban Remote Sensing Joint Event </i> &nbsp;
Airborne laser scanning techniques make it possible to acquire a three-dimensional point cloud leading almost instantaneously to Digital Surface Models (DSM), but these models are far from a topological  ...  Then, it combines the point cloud and the DSM for extracting a building mask from the off-terrain.  ...  So, the automatic generation of 3D city models from Lidar data gains importance. To carry out this task, generally two successive steps are considered.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/urs.2007.371843">doi:10.1109/urs.2007.371843</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z2he32ddufbmlcvxublkruptwq">fatcat:z2he32ddufbmlcvxublkruptwq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180723010134/https://halshs.archives-ouvertes.fr/halshs-00264859/file/Tarsha_PARIS_2007_Urban_Remote_Sensing.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fb/a4/fba4b6f401a899a785d86bcf70c2d42f0acaab06.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/urs.2007.371843"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Urban 3D GIS From LiDAR and digital aerial images

Guoqing Zhou, C. Song, J. Simmers, P. Cheng
<span title="">2004</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zvr2ua2y3zgazjus2tljtegoui" style="color: black;">Computers &amp; Geosciences</a> </i> &nbsp;
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  ...  Using image knowledge extracted, we developed a new method of interpolating LiDAR raw data into grid digital surface model (DSM) with considering the steep discontinuities of buildings.  ...  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  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cageo.2003.08.012">doi:10.1016/j.cageo.2003.08.012</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zjj2jy6yvng7hli4q3g26yyule">fatcat:zjj2jy6yvng7hli4q3g26yyule</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20050305203945/http://design.me.washington.edu:80/twiki/pub/Main/ReSearch/sample1-GISandLiDAR.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9a/b8/9ab834e4fed6e0759368584fc72a5b2926f4f53b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cageo.2003.08.012"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

TOWARDS 4D VIRTUAL CITY RECONSTRUCTION FROM LIDAR POINT CLOUD SEQUENCES

O. Józsa, A. Börcs, C. Benedek
<span title="2013-05-16">2013</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yhzu63ehjfe2dbswnsdfm5vlba" style="color: black;">ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
The aim of the addressed work is to create 4D spatio-temporal models of large dynamic urban scenes containing various moving and static objects.  ...  surfaces, motion information and objects from the registered dense point cloud completed with point time stamp information.  ...  (b) A triangulation result of the facade of the Great Market Hall Sample results on facade approximation based on RMB Lidar data with the proposed approach a vehicle.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsannals-ii-3-w1-15-2013">doi:10.5194/isprsannals-ii-3-w1-15-2013</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/25sprdjkqfajfevgsu3rn73eqa">fatcat:25sprdjkqfajfevgsu3rn73eqa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810052405/https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3-W1/15/2013/isprsannals-II-3-W1-15-2013.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/45/fb/45fbbdbaa7143ea96420b1b5c1880d6d63bb789d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsannals-ii-3-w1-15-2013"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

2D-3D fusion for layer decomposition of urban facades

Yangyan Li, Qian Zheng, Andrei Sharf, Daniel Cohen-Or, Baoquan Chen, Niloy J. Mitra
<span title="">2011</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/753trptklbb4nj6jquqadzwwdu" style="color: black;">2011 International Conference on Computer Vision</a> </i> &nbsp;
We present a method for fusing two acquisition modes, 2D photographs and 3D LiDAR scans, for depth-layer decomposition of urban facades.  ...  In this paper we use photographs to enhance the acquired LiDAR data.  ...  Korah and Rasmussen [11] address the problem of automatically detecting 2D grid structures such as windows on building facades from images taken in urban settings. Pauly et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccv.2011.6126329">doi:10.1109/iccv.2011.6126329</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/iccv/LiZSCCM11.html">dblp:conf/iccv/LiZSCCM11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nn7hwjrpcrcqxcvxmzqhkbs56a">fatcat:nn7hwjrpcrcqxcvxmzqhkbs56a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20140830075451/http://www.cs.tau.ac.il/~dcor/articles/2011/2D-3D-Fusion.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/11/92/11922ad6c34ebf6490a9a235441bf5c451806057.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/iccv.2011.6126329"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

INTEGRATING SMARTPHONE IMAGES AND AIRBORNE LIDAR DATA FOR COMPLETE URBAN BUILDING MODELLING

Shenman Zhang, Jie Shan, Zhichao Zhang, Jixing Yan, Yaolin Hou
<span title="2016-06-16">2016</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i74shj7anreaxjo327fokng66m" style="color: black;">The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
A complete building model reconstruction needs data collected from both air and ground.  ...  The developed approach overcomes the problem of sparse points on building façades in airborne LiDAR and the deficiency of rooftops in ground images such that the merits of both datasets are utilized.  ...  Adobe Camera Raw, a commercial software tool, is utilized to correct geometric distortion using camera models and lens data (Adobe Camera Raw, 2015).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsarchives-xli-b5-741-2016">doi:10.5194/isprsarchives-xli-b5-741-2016</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kh244723s5bchnh5sl6ookvzfa">fatcat:kh244723s5bchnh5sl6ookvzfa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719065840/https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B5/741/2016/isprs-archives-XLI-B5-741-2016.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/eb/d8/ebd8e505ed19a35286c7ee7713038907b2e83262.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsarchives-xli-b5-741-2016"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Window detection from mobile LiDAR data

Ruisheng Wang, Jeff Bach, Frank P. Ferrie
<span title="">2011</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wsjivbkuezdvxdnrhihbwjrxlu" style="color: black;">2011 IEEE Workshop on Applications of Computer Vision (WACV)</a> </i> &nbsp;
We present an automatic approach to window and façade detection from LiDAR (Light Detection And Ranging) data collected from a moving vehicle along streets in urban environments.  ...  The proposed method combines bottom-up with top-down strategies to extract façade planes from noisy LiDAR point clouds.  ...  Fully automatic generation of 3D building models from aerial images or LiDAR is now viable [2, 25] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wacv.2011.5711484">doi:10.1109/wacv.2011.5711484</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/wacv/WangBF11.html">dblp:conf/wacv/WangBF11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/d3546qaztzfzrc5kr2z6u47344">fatcat:d3546qaztzfzrc5kr2z6u47344</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809011226/http://velodynelidar.com/lidar/hdlpressroom/pdf/Articles/Window%20Detection%20from%20Mobile%20LiDAR%20Data.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/cd/c2/cdc21ee54364c2f78b75a71ef067b60e29c8af44.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wacv.2011.5711484"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Automatic Detection and Feature Estimation of Windows for Refining Building Facades in 3D Urban Point Clouds

A.K Aijazi, P. Checchin, L. Trassoudaine
<span title="2014-08-07">2014</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yhzu63ehjfe2dbswnsdfm5vlba" style="color: black;">ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
This paper presents a method that automatically detects windows of different shapes, in 3D LiDAR point clouds obtained from mobile terrestrial data acquisition systems in the urban environment.  ...  The proposed method first segments out 3D points belonging to the building façade from the 3D urban point cloud and then projects them onto a 2D plane parallel to the building façade.  ...  (a) & (c) show raw 3D points (color coded intensity) of different building façades from the data set containing windows of different types and sizes while (b) & (d) are the corresponding 3D point clouds  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsannals-ii-3-1-2014">doi:10.5194/isprsannals-ii-3-1-2014</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/im2soysfn5cmzofocmtvpvv7ii">fatcat:im2soysfn5cmzofocmtvpvv7ii</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170705123021/http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-3/1/2014/isprsannals-II-3-1-2014.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3d/eb/3debef5319663b2d6646dbc3f861e10897e27fd1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsannals-ii-3-1-2014"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Robust Building Facade Reconstruction from Spaceborne TOMOSAR Points

M. Shahzad, X.X. Zhu
<span title="2013-10-08">2013</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yhzu63ehjfe2dbswnsdfm5vlba" style="color: black;">ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
Motivated by these chances, this paper presents a post processing approach that systematically allows automatic reconstruction of building façades from 4D point cloud generated from tomographic SAR processing  ...  Subsequently, points of individual facade segments are identified as belonging to flat or curved surface and general 1st and 2nd order polynomials are used to model the facade geometry.  ...  from the rasterized point cloud data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsannals-ii-3-w3-85-2013">doi:10.5194/isprsannals-ii-3-w3-85-2013</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c6g4woxnsjg55bh7jzpw3h25s4">fatcat:c6g4woxnsjg55bh7jzpw3h25s4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922024016/http://elib.dlr.de/86149/1/isprsannals-II-3-W3-85-2013.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bc/ee/bceef8890eab9efb53fcbfc1a512fe02fc148c65.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprsannals-ii-3-w3-85-2013"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Instant Object Detection in Lidar Point Clouds

Attila Borcs, Balazs Nagy, Csaba Benedek
<span title="">2017</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q2cxanfrsvclzbz73u2mnqrxru" style="color: black;">IEEE Geoscience and Remote Sensing Letters</a> </i> &nbsp;
The input of our framework is raw 3-D point cloud sequences captured by a Velodyne HDL-64 Lidar, and we aim to extract all vehicles and pedestrians in the neighborhood of the moving sensor.  ...  In this paper we present a new approach for object classification in continuously streamed Lidar point clouds collected from urban areas.  ...  II-B) steps of our model on the raw data, thereafter we annotated all the automatically extracted short objects (2063 objects alltogether) without any further modification with the labels vehicle, pedestrian  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/lgrs.2017.2674799">doi:10.1109/lgrs.2017.2674799</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/barfnhvsxbgerotryxf5cwharu">fatcat:barfnhvsxbgerotryxf5cwharu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721220241/http://eprints.sztaki.hu/9081/1/grsl_banbbcs_Final.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e4/d9/e4d97dc8e45484b1939401bc4ecb962b4a40949a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/lgrs.2017.2674799"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

An update on automatic 3D building reconstruction

Norbert Haala, Martin Kada
<span title="">2010</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sgj4ockzhjenrlnkl2wsqjql64" style="color: black;">ISPRS journal of photogrammetry and remote sensing (Print)</a> </i> &nbsp;
From the beginning, fully automatic reconstruction systems were envisioned to fulfil the need for efficient data collection. However, research on automatic city modelling is still a very active area.  ...  In addition to these developments, the paper will also review current approaches for the generation of more detailed facade geometries from terrestrial data collection.  ...  Acknowledgement Martin Kada is indebted to the Baden-Württemberg Stiftung for the financial support of this research project by the Eliteprogramme for Postdocs.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.isprsjprs.2010.09.006">doi:10.1016/j.isprsjprs.2010.09.006</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3b2n7gg3nvfixphw4no33cjjqa">fatcat:3b2n7gg3nvfixphw4no33cjjqa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20151123185807/http://testcis.cis.rit.edu:80/~cnspci/references/dip/urban_extraction/haala2010.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ca/13/ca13fc58b0d75937786fc475df08df101a811b02.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.isprsjprs.2010.09.006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

SEMANTICALLY ENRICHED HIGH RESOLUTION LOD 3 BUILDING MODEL GENERATION

A. Gruen, S. Schubiger, R. Qin, G. Schrotter, B. Xiong, J. Li, X. Ling, C. Xiao, S. Yao, F. Nuesch
<span title="2019-09-23">2019</span> <i title="Copernicus GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i74shj7anreaxjo327fokng66m" style="color: black;">The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences</a> </i> &nbsp;
In parallel we try to model these fa&amp;ccedil;ade elements from LiDAR point cloud data.  ...  We use multi-sensor data like aerial images from a 5-head camera with a GSD of 10&amp;thinsp;cm, UAV images, and aerial and mobile LiDAR point clouds.  ...  We are grateful to Singapore Land Authority (SLA) for their great support on multi-sensor data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xlii-4-w15-11-2019">doi:10.5194/isprs-archives-xlii-4-w15-11-2019</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wa52ayl4jfhfrloyrb7dnbfqau">fatcat:wa52ayl4jfhfrloyrb7dnbfqau</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200214151707/https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W15/11/2019/isprs-archives-XLII-4-W15-11-2019.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/8f/31/8f31f7daad75853815d48f213bd82232785b1fb1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5194/isprs-archives-xlii-4-w15-11-2019"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>
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