A New Classification Method for LIDAR Data Based on Unbalanced Support Vector Machine

NA

[1]  Juha Hyyppä,et al.  CLASSIFICATION TREE BASED BUILDING DETECTION FROM LASER SCANNER AND AERIAL IMAGE DATA , 2007 .

[2]  Zhang Xiaobo.  OBJECT-ORIENTED BUILDING EXTRACTION OF MULTI-SOURCE REMOTE SENSING IMAGERY BASED ON SVM , 2009 .

[3]  S. Filin.  SURFACE CLUSTERING FROM AIRBORNE LASER SCANNING DATA , 2002 .

[4]  Ayman Habib,et al.  INTERPOLATION OF LIDAR DATA AND AUTOMATIC BUILDING EXTRACTION , 2002 .

[5]  LI Ying-cheng.  OBJECT-ORIENTED BUILDING EXTRACTION OF MULTI-SOURCE REMOTE SENSING IMAGERY BASED ON SVM , 2008 .

[6]  Ruijin Ma.  DEM Generation and Building Detection from Lidar Data , 2005 .

[7]  Chengcui Zhang,et al.  A progressive morphological filter for removing nonground measurements from airborne LIDAR data , 2003, IEEE Trans. Geosci. Remote. Sens..

[8]  Avideh Zakhor,et al.  Tree Detection in Urban Regions Using Aerial Lidar and Image Data , 2007, IEEE Geoscience and Remote Sensing Letters.

[9]  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.

[10]  H. Maas,et al.  THE USE OF ANISOTROPIC HEIGHT TEXTURE MEASURES FOR THE SEGMENTATION OF AIRBORNE LASER SCANNER DATA , 2000 .

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

[12]  Abdullatif Alharthy,et al.  Heuristic Filtering and 3 D Feature Extraction from Lidar Data , 2002 .

[13]  Shu-Ching Chen,et al.  Automatic Construction of Building Footprints From Airborne LIDAR Data , 2006, IEEE Transactions on Geoscience and Remote Sensing.