Investigation on the Weighted RANSAC Approaches for Building Roof Plane Segmentation from LiDAR Point Clouds
暂无分享,去创建一个
Jing Zhang | Jie Shan | Wanshou Jiang | Lelin Li | Bo Xu | J. Shan | Wanshou Jiang | Bo Xu | Lelin Li | Jing Zhang
[1] Reinhard Klein,et al. Efficient RANSAC for Point‐Cloud Shape Detection , 2007, Comput. Graph. Forum.
[2] Anil K. Jain,et al. Segmentation and Classification of Range Images , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] F. Tarsha-Kurdi,et al. Model-driven and data-driven approaches using LIDAR data: analysis and comparison , 2007 .
[4] J. Shan,et al. A global optimization approach to roof segmentation from airborne lidar point clouds , 2014 .
[5] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[6] Jiri Matas,et al. Optimal Randomized RANSAC , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Jan-Michael Frahm,et al. RANSAC for (Quasi-)Degenerate data (QDEGSAC) , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[8] Clive S. Fraser,et al. An Automatic and Threshold-Free Performance Evaluation System for Building Extraction Techniques From Airborne LIDAR Data , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[9] Pavel Berkhin,et al. A Survey of Clustering Data Mining Techniques , 2006, Grouping Multidimensional Data.
[10] Jaewook Jung,et al. Results of the ISPRS benchmark on urban object detection and 3D building reconstruction , 2014 .
[11] Liqiang Zhang,et al. Urban building roof segmentation from airborne lidar point clouds , 2012 .
[12] S. Filin. SURFACE CLUSTERING FROM AIRBORNE LASER SCANNING DATA , 2002 .
[13] S. J. Oude Elberink,et al. A graph edit dictionary for correcting errors in roof topology graphs reconstructed from point clouds , 2014 .
[14] K. Moffett,et al. Remote Sens , 2015 .
[15] Clive S. Fraser,et al. Automatic Segmentation of Raw LIDAR Data for Extraction of Building Roofs , 2014, Remote. Sens..
[16] Rey-Jer You,et al. Building Feature Extraction from Airborne Lidar Data Based on Tensor Voting Algorithm , 2011 .
[17] Hans-Gerd Maas,et al. Cycle graph analysis for 3D roof structure modelling: Concepts and performance , 2014 .
[18] Sunglok Choi,et al. Performance Evaluation of RANSAC Family , 2009, BMVC.
[19] George Vosselman,et al. Building Reconstruction by Target Based Graph Matching on Incomplete Laser Data: Analysis and Limitations , 2009, Sensors.
[20] José Luis Lerma,et al. Unsupervised robust planar segmentation of terrestrial laser scanner point clouds based on fuzzy clustering methods , 2008 .
[21] Norbert Pfeifer,et al. A Comparison of Evaluation Techniques for Building Extraction From Airborne Laser Scanning , 2009, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[22] Norbert Pfeifer,et al. New Associate Editor pp iii-iv Segmentation of airborne laser scanning data using a slope adaptive neighborhood , 2006 .
[23] T. Awwad,et al. An improved segmentation approach for planar surfaces from unstructured 3D point clouds , 2010 .
[24] Ramakant Nevatia,et al. Segmented descriptions of 3-D surfaces , 1987, IEEE Journal on Robotics and Automation.
[25] Pedro Arias,et al. Non-destructive approach for the generation and thermal characterization of an as-built BIM , 2014 .
[26] Roberto Manduchi,et al. CC-RANSAC: Fitting planes in the presence of multiple surfaces in range data , 2011, Pattern Recognit. Lett..
[27] Jie Shan,et al. Segmentation and Reconstruction of Polyhedral Building Roofs From Aerial Lidar Point Clouds , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[28] Emmanuel P. Baltsavias,et al. Object extraction and revision by image analysis using existing geodata and knowledge: current status and steps towards operational systems☆ , 2004 .
[29] Norbert Haala,et al. An update on automatic 3D building reconstruction , 2010 .
[30] J. Bethel,et al. DETAILED BUILDING RECONSTRUCTION FROM AIRBORNE LASER DATA USING A MOVING SURFACE METHOD , 2004 .
[31] Alireza Bab-Hadiashar,et al. Range segmentation of large building exteriors: A hierarchical robust approach , 2010, Comput. Vis. Image Underst..
[32] Luis López-Fernández,et al. Large Scale Automatic Analysis and Classification of Roof Surfaces for the Installation of Solar Panels Using a Multi-Sensor Aerial Platform , 2015, Remote. Sens..
[33] Yinlin Sha,et al. A designed beta-hairpin forming peptide undergoes a consecutive stepwise process for self-assembly into nanofibrils. , 2010, Protein and peptide letters.
[34] Jiri Matas,et al. Matching with PROSAC - progressive sample consensus , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[35] George Vosselman,et al. Automated planimetric quality control in high accuracy airborne laser scanning surveys , 2012 .
[36] Norbert Pfeifer,et al. A Comprehensive Automated 3D Approach for Building Extraction, Reconstruction, and Regularization from Airborne Laser Scanning Point Clouds , 2008, Sensors.
[37] Andrew Zisserman,et al. MLESAC: A New Robust Estimator with Application to Estimating Image Geometry , 2000, Comput. Vis. Image Underst..