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Transaction on Pattern Analysis and Machine Intelligence 14(6):597–605.
Martens, J. B. 1990. The hermite transform-theory. IEEE Transactions on Acoustics, Speech
and Signal Processing 38(9):1595–1606.
Meng, X., Currit, N., and Zhao, K. 2010. Ground filtering algorithms for airborne LiDAR data:
A review of critical issues. Remote Sensing 2(3):833–860.
Pfeifer, N., and Mandlburger, G. 2009. LiDAR data filtering and DTM generation. In J. Shan
and C. K. Toth (Eds.), Topographic Laser Ranging and Scanning, Boca Raton, FL: CRC
Press, pp. 307–333.
Reed, J. A., and Bloom, T. R. 1996. A gaussian derivative-based transform. IEEE Transactions
on Image Processing 5(3):551–553.
Roggero, M. 2001. Airborne laser scanning: Clustering in raw data. International Archives of
Photogrammetry, Remote Sensing and Spatial Information Sciences 34:227–232.
Silván-Cárdenas, J. L., and Escalante-Ramírez, B. 2001. Image coding with a directionaloriented discrete Hermite transform on a hexagonal sampling lattice. In A. Tescher (Ed.),
Applications of Digital Image Processing XXIV, San Diego: SPIE. pp. 528–536.
Silván-Cárdenas, J. L., and Escalante-Ramírez, B. 2006. The multiscale Hermite transform for
local orientation analysis. IEEE Transaction on Image Processing 15(5):1236–1236.
Silván-Cárdenas, J. L., and Wang, L. 2006. A multi-resolution approach for filtering LiDAR
altimetry data. ISPRS Journal of Photogrammetry and Remote Sensing 61(1):11–22.
Silván-Cárdenas, J. L., and Wang, L. 2011. Extraction of buildings footprint from LiDAR
altimetry data with the Hermite transform. Pattern Recognition—MCPR’11 Proceedings of
the Third Mexican Conference on Pattern Recognition. Cancun, Mexico, Berlin: Springer,
pp. 314–321.
Sithole, G. 2001. Filtering of laser altimetry data using a slope adaptive filter. International
Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
34:203–210.
Sithole, G., and Vosselman, G. 2004. Experimental comparison of filter algorithms for bareEarth extraction from airborne laser scanning point clouds. ISPRS Journal of Photogrammetry and Remote Sensing 59(1):85–101.
Thuy, T., and Tokunaga, M. 2004. Filtering airborne laser scanner data: A wavelet-based
clustering method. Photogrammetric Engineering and Remote Sensing 70(11):1267–1274.
Witkin, A. 1984. Scale-space filtering: A new approach to multiscale description. Image
Understanding 3:79–95.
Zhang, K., Chen, S., Whitman, D., and Shyu, M. 2003. A progressive morphological filter for
removing nonground measurements from airborne LiDAR data. IEEE Transactions on
Geoscience Remote Sensing 41:872–882.
Zhang, K., and Whitman, D. 2005. Comparison of three algorithms for filtering airborne lidar
data. Photogrammetric Engineering & Remote Sensing 71(3):313–324.
284
MULTISCALE APPROACH FOR GROUND FILTERING FROM LIDAR
Koenderink, J. J., and Van Doorn, A. J. 1992. Generic neighboorhood operators. IEEE
Transaction on Pattern Analysis and Machine Intelligence 14(6):597–605.
Martens, J. B. 1990. The hermite transform-theory. IEEE Transactions on Acoustics, Speech
and Signal Processing 38(9):1595–1606.
Meng, X., Currit, N., and Zhao, K. 2010. Ground filtering algorithms for airborne LiDAR data:
A review of critical issues. Remote Sensing 2(3):833–860.
Pfeifer, N., and Mandlburger, G. 2009. LiDAR data filtering and DTM generation. In J. Shan
and C. K. Toth (Eds.), Topographic Laser Ranging and Scanning, Boca Raton, FL: CRC
Press, pp. 307–333.
Reed, J. A., and Bloom, T. R. 1996. A gaussian derivative-based transform. IEEE Transactions
on Image Processing 5(3):551–553.
Roggero, M. 2001. Airborne laser scanning: Clustering in raw data. International Archives of
Photogrammetry, Remote Sensing and Spatial Information Sciences 34:227–232.
Silván-Cárdenas, J. L., and Escalante-Ramírez, B. 2001. Image coding with a directionaloriented discrete Hermite transform on a hexagonal sampling lattice. In A. Tescher (Ed.),
Applications of Digital Image Processing XXIV, San Diego: SPIE. pp. 528–536.
Silván-Cárdenas, J. L., and Escalante-Ramírez, B. 2006. The multiscale Hermite transform for
local orientation analysis. IEEE Transaction on Image Processing 15(5):1236–1236.
Silván-Cárdenas, J. L., and Wang, L. 2006. A multi-resolution approach for filtering LiDAR
altimetry data. ISPRS Journal of Photogrammetry and Remote Sensing 61(1):11–22.
Silván-Cárdenas, J. L., and Wang, L. 2011. Extraction of buildings footprint from LiDAR
altimetry data with the Hermite transform. Pattern Recognition—MCPR’11 Proceedings of
the Third Mexican Conference on Pattern Recognition. Cancun, Mexico, Berlin: Springer,
pp. 314–321.
Sithole, G. 2001. Filtering of laser altimetry data using a slope adaptive filter. International
Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
34:203–210.
Sithole, G., and Vosselman, G. 2004. Experimental comparison of filter algorithms for bareEarth extraction from airborne laser scanning point clouds. ISPRS Journal of Photogrammetry and Remote Sensing 59(1):85–101.
Thuy, T., and Tokunaga, M. 2004. Filtering airborne laser scanner data: A wavelet-based
clustering method. Photogrammetric Engineering and Remote Sensing 70(11):1267–1274.
Witkin, A. 1984. Scale-space filtering: A new approach to multiscale description. Image
Understanding 3:79–95.
Zhang, K., Chen, S., Whitman, D., and Shyu, M. 2003. A progressive morphological filter for
removing nonground measurements from airborne LiDAR data. IEEE Transactions on
Geoscience Remote Sensing 41:872–882.
Zhang, K., and Whitman, D. 2005. Comparison of three algorithms for filtering airborne lidar
data. Photogrammetric Engineering & Remote Sensing 71(3):313–324.
284
MULTISCALE APPROACH FOR GROUND FILTERING FROM LIDAR