[1] WEINMANN M, JUTZI B, HINZ S, et al. Semantic Point Cloud Interpretation Based on Optimal Neighborhoods, Relevant Features and Efficient Classifiers[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 105:286-304.
[2] DEMANTKÉ J, VALLET B, PAPARODITIS N. Streamed Vertical Rectangle Detection in Terrestrial Laser Scans for Facade Database Production[C]//ⅩⅫ Congress of the International Society of Photogrammetry and Remote Sensing. Melbourne, Australia:[s.n.], 2012:99-104.
[3] XU Lijun, KONG Deming, LI Xiaolu. On-the-fly Extraction of Polyhedral Buildings From Airborne LiDAR Data[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(11):1946-1950.
[4] SERNA A, MARCOTEGUI B. Detection, Segmentation and Classification of 3D Urban Objects Using Mathematical Morphology and Supervised Learning[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 93:243-255.
[5] YU Yongtao, LI J, GUAN Haiyan, et al. Semiautomated Extraction of Street Light Poles from Mobile LiDAR Point-Clouds[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(3):1374-1386.
[6] 方莉娜, 杨必胜. 车载激光扫描数据的结构化道路自动提取方法[J]. 测绘学报, 2013, 42(2):260-267. FANG Lina, YANG Bisheng. Automated Extracting Roads from Mobile Laser Scanning Point Clouds[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(2):260-267.
[7] MUSIALSKI P, WONKA P, ALIAGA D G, et al. A Survey of Urban Reconstruction[J]. Computer Graphics Forum, 2013, 32(6):146-177.
[8] 董震, 杨必胜. 车载激光扫描数据中多类目标的层次化提取方法[J]. 测绘学报, 2015, 44(9):980-987. DOI:10.11947/j.AGCS.2015.20140339. DONG Zhen, YANG Bisheng. Hierarchical Extraction of Multiple Objects from Mobile Laser Scanning Data[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(9):980-987. DOI:10.11947/j.AGCS.2015.20140339.
[9] 郭波, 黄先锋, 张帆, 等. 顾及空间上下文关系的JointBoost点云分类及特征降维[J]. 测绘学报, 2013, 42(5):715-721. GUO Bo, HUANG Xianfeng, ZHANG Fan, et al. Points Cloud Classification Using Joint Boost Combined with Contextual Information for Feature Reduction[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(5):715-721.
[10] WEINMANN M, SCHMIDT A, MALLET C, et al. Contextual Classification of Point Cloud Data by Exploiting Individual 3D Neigbourhoods[J]. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015, 2(3):271-278.
[11] WEINMANN M, JUTZI B, MALLET C. Semantic 3D Scene Interpretation:A Framework Combining Optimal Neighborhood Size Selection with Relevant Features[J]. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014, 2(3):181-188.
[12] LALONDE J F, UNNIKRISHNAN R, VANDAPEL N, et al. Scale Selection for Classification of Point-Sampled 3D Surfaces[C]//Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling. Ottawa, Ontario:IEEE, 2005:285-292.
[13] DEMANTKÉ J, MALLET C, DAVID N, et al. Dimensionality Based Scale Selection in 3D Lidar Point Clouds[J]. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2011, 38(12):97-102.
[14] 杨必胜, 董震, 魏征, 等. 从车载激光扫描数据中提取复杂建筑物立面的方法[J]. 测绘学报, 2013, 42(3):411-417. YANG Bisheng, DONG Zhen, WEI Zheng, et al. Extracting Complex Building Facades from Mobile Laser Scanning Data[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(3):411-417.
[15] ANGUELOV D, TASKARF B, CHATALBASHEV V, et al. Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data[C]//Proceedings of 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego, CA:IEEE, 2005, 2:169-176.
[16] NIEMEYER J, ROTTENSTEINER F, SOERGEL U. Contextual Classification of LiDAR Data and Building Object Detection in Urban Areas[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014, 87:152-165.
[17] MUNOZ D, BAGNELL J A, VANDAPEL N, et al. Contextual Classification with Functional Max-Margin Markov Networks[C]//Proceedings of 2009 IEEE Conference on Computer Vision and Pattern Recognition. Miami, FL:IEEE, 2009:975-982.
[18] LALONDE J F, VANDAPEL N, HUBER D F, et al. Natural Terrain Classification Using Three-dimensional LiDAR Data for Ground Robot Mobility[J]. Journal of Field Robotics, 2006, 23(10):839-861.
[19] WEINMANN M, JUTZI B, MALLET C. Feature Relevance Assessment for the Semantic Interpretation of 3D Point Cloud Data[J]. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013, 1(2):313-318.
[20] PAPON J, ABRAMOV A, SCHOELER M, et al. Voxel Cloud Connectivity Segmentation-Supervoxels for Point Clouds[C]//Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition. Portland, OR:IEEE, 2013:2027-2034.
[21] KOHLI P, KUMAR M P, TORR P H S. P3 & Beyond:Solving Energies with Higher Order Cliques[C]//Proceedings of 2007 IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis, MN:IEEE, 2007:1-8.
[22] LAFFERTY J D, MCCALLUM A, PEREIRA F C N. Conditional Random Fields:Probabilistic Models for Segmenting and Labeling Sequence Data[C]//Proceedings of the Eighteenth International Conference on Machine Learning. San Francisco:ACM, 2001:282-289.
[23] KOHLI P, LADICKY L, TORR P H S. Robust Higher Order Potentials for Enforcing Label Consistency[J]. International Journal of Computer Vision, 2009, 82(3):302-324.
[24] TASKAR B, CHATALBASHEV V, KOLLER D. Learning Associative Markov Networks[C]//Proceedings of the Twenty-First International Conference on Machine Learning. New York, NY:ACM, 2004:102.
[25] BOYKOV Y, KOLMOGOROV V. An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(9):1124-1137.