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rison. The
s paper is
sult of
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008)
16
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data is a
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n. And we
fection, as
nition and
r targets
asurement
/ of Opto-
ng, China.
B., 2007.
ng. Laser
of SPIE,
ape-based
ronments.
Computer Vision, 2009 IEEE 12th International
Conference on, Kyoto, Japan, pp. 2154-2161.
Hans-Gerd, M., George, V., 1999. Two algorithms for
extracting building models from raw laser altimetry data.
ISPRS Journal of Photogrammetry & Remote Sensing 54,
1999, pp. 153-163.
Hu, M., 1962. Visual pattern recognition by moment invariants.
Information Theory, IRE Transactions, 8(2), pp. 179-187.
Jinhui, L., Zhuoxun S., 2009. New Approach of Imagery
Generation and Target Recognition Based on 3D LIDAR
Data. The Ninth International Conference on Electronic
Measurement & Instruments, 2009, pp. 612-616.
Marino, R. and W. Davis, 2005. Jigsaw: a foliage-penetrating
3D imaging laser radar system. Lincoln Laboratory Journal,
15(1).
Moore, A., 1991. An intoductory tutorial on kd-trees. PhD
Thesis, Efficient Memory-based Learning for Robot
Control, Computer Laboratory, University of Cambridge,
Cambridge, England.
Prokhorov, D.V., 2009. Object recognition in 3D LiDAR data
with recurrent neural network. Computer Vision and
Pattern Recognition Workshops 2009, California, USA, pp.
9-15.
Sahibsingh, A., Kenneth, J., Robert, B., 1997. Aircraft
Identification by Moment Invariants. IEEE Transactions
on Computers, Vol. C-26, No. 1. 1977, pp. 39-46.
Zhongliang, Q., Wenjun, W., 1992. Automatic ship
classification by superstructure moment invariants and
two-stage classifier. Singapore ICCS/ISITA '92, 1992, pp.
544-547.
8. ACKNOWLEDGEMENTS
The authors would like to thank for supporting of the project
from the National Natural Science Foundation of China (Grant
No.40901177) and International Cooperation Project of the
Ministry of Science and Technology of the People's Republic
of China (Grant No.2010DFA 72290).
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B3, 2012
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia