Tree Detection in Aerial Lidar and Image Data
暂无分享,去创建一个
[1] Wolfram Burgard,et al. A real-time algorithm for mobile robot mapping with applications to multi-robot and 3D mapping , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).
[2] Ramakant Nevatia,et al. Automatic description of buildings with complex rooftops from multiple images , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[3] H. Maas. THE POTENTIAL OF HEIGHT TEXTURE MEASURES FOR THE SEGMENTATION OF AIRBORNE LASERSCANNER DATA , 1999 .
[4] Christian Früh,et al. Data Processing Algorithms for Generating Textured 3D Building Facade Meshes from Laser Scans and Camera Images , 2005, International Journal of Computer Vision.
[5] Jean Ponce,et al. Computer Vision: A Modern Approach , 2002 .
[6] Roger Fletcher,et al. Practical methods of optimization; (2nd ed.) , 1987 .
[7] S. Filin. SURFACE CLUSTERING FROM AIRBORNE LASER SCANNING DATA , 2002 .
[8] Christian Früh,et al. Automated reconstruction of building facades for virtual walk-thrus , 2003, SIGGRAPH '03.
[9] Bernhard Schölkopf,et al. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond , 2005, IEEE Transactions on Neural Networks.
[10] Claus Brenner,et al. Generation Of 3D City Models From Airborne Laser Scanning Data , 1997 .
[11] R. Fletcher. Practical Methods of Optimization , 1988 .
[12] Christian Früh,et al. Constructing 3D city models by merging ground-based and airborne views , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[13] Christian Früh,et al. An Automated Method for Large-Scale, Ground-Based City Model Acquisition , 2004, International Journal of Computer Vision.
[14] John C. Platt,et al. Fast training of support vector machines using sequential minimal optimization, advances in kernel methods , 1999 .
[15] K. Kraus,et al. Determination of terrain models in wooded areas with airborne laser scanner data , 1998 .
[16] Michael G. Madden,et al. The Genetic Evolution of Kernels for Support Vector Machine Classifiers , 2004 .
[17] Ioannis Stamos,et al. Geometry and Texture Recovery of Scenes of Large Scale , 2002, Comput. Vis. Image Underst..
[18] Roberto Manduchi,et al. Supervised Parametric Classification of Aerial LiDAR Data , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[19] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[20] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[21] Michael I. Jordan,et al. Learning Spectral Clustering , 2003, NIPS.
[22] Martial Hebert,et al. Scale selection for classification of point-sampled 3D surfaces , 2005, Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05).
[23] Luc Van Gool,et al. Automatic Modeling and 3D Reconstruction of Urban House Roofs from High Resolution Aerial Imagery , 1998, ECCV.
[24] Thorsten Joachims,et al. Learning to classify text using support vector machines - methods, theory and algorithms , 2002, The Kluwer international series in engineering and computer science.