Automatic building rooftop extraction using a digital surface model derived from aerial stereo images

Automatic building rooftop extraction is of great importance to many applications including building reconstruction, solar energy supply, and disaster management. This study proposes a building roo...

[1]  Clive S. Fraser,et al.  Automatic Segmentation of Raw LIDAR Data for Extraction of Building Roofs , 2014, Remote. Sens..

[2]  Liang Chen,et al.  Estimating Roof Solar Energy Potential in the Downtown Area Using a GPU-Accelerated Solar Radiation Model and Airborne LiDAR Data , 2015, Remote. Sens..

[3]  Yassine Ruichek,et al.  Building Roof Segmentation from Aerial Images Using a Line-and Region-Based Watershed Segmentation Technique , 2015, Sensors.

[4]  Ella M. Atkins,et al.  Roof Shape Classification from LiDAR and Satellite Image Data Fusion Using Supervised Learning , 2018, Sensors.

[5]  John Trinder,et al.  Evaluation of the self‐organizing map classifier for building detection from lidar data and multispectral aerial images , 2009 .

[6]  Guifeng Zhang,et al.  An Edge Embedded Marker-Based Watershed Algorithm for High Spatial Resolution Remote Sensing Image Segmentation , 2010, IEEE Transactions on Image Processing.

[7]  Umit Isikdag,et al.  Semi-Automatic 3D City Model Generation from Large-Format Aerial Images , 2018, ISPRS Int. J. Geo Inf..

[8]  Bin Li,et al.  Semantic Segmentation of Building Roof in Dense Urban Environment with Deep Convolutional Neural Network: A Case Study Using GF2 VHR Imagery in China , 2019, Sensors.

[9]  Rudi Goossens,et al.  3D building reconstruction based on given ground plan information and surface models extracted from spaceborne imagery , 2012 .

[10]  Shiyong Cui,et al.  Building Change Detection Based on Satellite Stereo Imagery and Digital Surface Models , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Taejung Kim,et al.  Automated urban area building extraction from high resolution stereo imagery , 1996, Image Vis. Comput..

[12]  Jianping Wu,et al.  Investigating impacts of urban morphology on spatio-temporal variations of solar radiation with airborne LIDAR data and a solar flux model: a case study of downtown Houston , 2009 .

[13]  George Vosselman,et al.  Two algorithms for extracting building models from raw laser altimetry data , 1999 .

[14]  Kurt Kubik,et al.  Automatic Building Detection Using the Dempster-Shafer Algorithm , 2006 .

[15]  Yiming Yan,et al.  A Hierarchical Building Segmentation in Digital Surface Models for 3D Reconstruction , 2017, Sensors.

[16]  C. Fraser,et al.  Automatic extraction of building roofs using LIDAR data and multispectral imagery , 2013 .

[17]  Qing Zhu,et al.  A 3D Shape Descriptor Based on Contour Clusters for Damaged Roof Detection Using Airborne LiDAR Point Clouds , 2016, Remote. Sens..

[18]  Feng Zhao,et al.  A Graph-Based Approach for 3D Building Model Reconstruction from Airborne LiDAR Point Clouds , 2017, Remote. Sens..

[19]  Sarah Smith-Voysey,et al.  Integrating building footprints and LiDAR elevation data to classify roof structures and visualise buildings , 2009, Computers, Environment and Urban Systems.

[20]  Timothy L. Haithcoat,et al.  Development of comprehensive accuracy assessment indexes for building footprint extraction , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[21]  Montse Pardàs,et al.  Hierarchical morphological segmentation for image sequence coding , 1994, IEEE Trans. Image Process..

[22]  Peter Reinartz,et al.  Building Reconstruction Using DSM and Orthorectified Images , 2013, Remote. Sens..

[23]  Constantine E. Kontokosta,et al.  Large-scale parameterization of 3D building morphology in complex urban landscapes using aerial LiDAR and city administrative data , 2019, Comput. Environ. Urban Syst..

[24]  Jianping Wu,et al.  An Extended Minimum Spanning Tree method for characterizing local urban patterns , 2018, Int. J. Geogr. Inf. Sci..

[25]  Gergely Szabó,et al.  Automated registration of potential locations for solar energy production with Light Detection And Ranging (LiDAR) and small format photogrammetry , 2016 .

[26]  Stephan Nebiker,et al.  Building Change Detection from Historical Aerial Photographs Using Dense Image Matching and Object-Based Image Analysis , 2014, Remote. Sens..

[27]  Dal Poz,et al.  Photogrammetric refinement of LiDAR-derived building roof contours , 2018 .

[28]  Curt H. Davis,et al.  Automated Building Extraction from High-Resolution Satellite Imagery in Urban Areas Using Structural, Contextual, and Spectral Information , 2005, EURASIP J. Adv. Signal Process..

[29]  Franck Jung.  Detecting building changes from multitemporal aerial stereopairs , 2004 .

[30]  George Miliaresis,et al.  Segmentation and object-based classification for the extraction of the building class from LIDAR DEMs , 2007, Comput. Geosci..

[31]  Lin Zhu,et al.  A refined marker controlled watershed for building extraction from DSM and imagery , 2010 .

[32]  Kazuhiko Yamamoto,et al.  A computer vision based approach for 3D building modelling of airborne laser scanner DSM data , 2006, Comput. Environ. Urban Syst..

[33]  Thomas Blaschke,et al.  A building extraction approach for Airborne Laser Scanner data utilizing the Object Based Image Analysis paradigm , 2016, Int. J. Appl. Earth Obs. Geoinformation.

[34]  Jie Shan,et al.  Segmentation and Reconstruction of Polyhedral Building Roofs From Aerial Lidar Point Clouds , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[35]  Zhilin Li,et al.  A Split-and-Merge Technique for Automated Reconstruction of Roof Planes , 2005 .

[36]  Luisa Verdoliva,et al.  Marker-Controlled Watershed-Based Segmentation of Multiresolution Remote Sensing Images , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[37]  Edinéia Aparecida dos Santos Galvanin,et al.  Extraction of Building Roof Contours From LiDAR Data Using a Markov-Random-Field-Based Approach , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[38]  I. Dowman,et al.  Data fusion of high-resolution satellite imagery and LiDAR data for automatic building extraction * , 2007 .

[39]  Germán Martínez,et al.  Analysis of the photovoltaic solar energy capacity of residential rooftops in Andalusia (Spain) , 2010 .

[40]  Norbert Pfeifer,et al.  Automatic Roof Plane Detection and Analysis in Airborne Lidar Point Clouds for Solar Potential Assessment , 2009, Sensors.

[41]  John Trinder,et al.  Using the Dempster-Shafer method for the fusion of LIDAR data and multi-spectral images for building detection , 2005, Inf. Fusion.

[42]  Peter Reinartz,et al.  Building Outline Extraction Using a Heuristic Approach Based on Generalization of Line Segments , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[43]  Jianping Wu,et al.  Automated derivation of urban building density information using airborne LiDAR data and object-based method , 2010 .

[44]  Baoyuan Wu,et al.  Automatic Building Rooftop Extraction From Aerial Images via Hierarchical RGB-D Priors , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[45]  Bin Wu,et al.  Individual tree crown delineation using localized contour tree method and airborne LiDAR data in coniferous forests , 2016, Int. J. Appl. Earth Obs. Geoinformation.

[46]  Peter Reinartz,et al.  Iterative approach for efficient digital terrain model production from CARTOSAT-1 stereo images , 2011 .

[47]  Bradley S. Neish,et al.  Methodology for estimating solar potential on multiple building rooftops for photovoltaic systems , 2013 .

[48]  Hannes Taubenböck,et al.  Performance Evaluation for 3-D City Model Generation of Six Different DSMs From Air- and Spaceborne Sensors , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[49]  J. Shan,et al.  Building boundary tracing and regularization from airborne lidar point clouds , 2007 .