*Salient feature-based point cloud data classification:

Terrestrial laser scanning (TLS)-based point cloud data classification result

Aerial laser scanning (ALS)-based point cloud data classification result



Ma, L.X., Zheng, G., Eitel, J.U.H., Moskal, L.M., He, W., Huang, H. B. Improved salient feature-based approach for automatically separating photosynthetic and nonphotosynthetic components within terrestrial lidar point cloud data of forest canopies. 2015. IEEE Transactions on Geoscience and Remote Sensing.2016, 54(2) 679-696.


*Point cloud slicing (PCS) algorithtm


Zheng, G. and Moskal, L. M. Computational geometry based retrieval of effective leaf area index using terrestrial laser scanning. 2012. IEEE Transactions on Geoscience and Remote Sensing, 50(10), 3958-3969




1. Plant physiology online, a companion to Plant Physiology (5th Edition) by Lincoln Taiz and Eduardo Zeiger.

2. phytozome.

3. Visualization Toolkit (VTK).

4. Insight Segmentation and Registration Toolkit (ITK).

5. CMake.

6. KiwiViewer.

7. Qt.

8. CGAL.

9. libLas.

10. LAStools.

11. Wikipedia.

12. Boost C++ libraries.

13. Installing CGAL and related programs on Windows operating system.

14. The R Project for Statistical Computing.

15. Research management software.

16. Point Cloud Library (PCL).

17. CloudCompare & ccViewer.

18. MeshLab.

19. Geomagic.

20. Blender.

21. point-cloud-tools.

22. Monte Carlo tracing library -- librat.

23. GDAL -- Geospatial Data Abstraction Library.

24. PDAL -- Point Data Abstraction Library.

25. Geometry Algorithms Home.

26. Bath_home_bbs.

27. Log4cplus.

28. Armadillo - C++ linear algebra library.



1. Biostatistical Analysis (5th Edition) by Jerrold H. Zar.

2. The radiation regime and architecture of plant stands by Juhan Ross.

3. Pattern Classification by Richard O. Duda, Peter E. Hart and David G. Stork.

4. The R Book by Michael J. Crawley.

5. Laser Remote Sensing by Takashi Fujii and Tetsuo Funkuchi.

6. Principles of Terrestrial Ecosystem Ecology by F. Stuart Chapin, Pamela A. Matson, Peter Vitousek and M.C. Chapin.

7. R Programming for Bioinformatics by Robert Gentleman .

8. C++ Primer (5th Edition) by Stanley B. Lippman, Josee Lajoie and Barbara E. Moo.

9. Tcl/Tk, Third Edition: A Developer's Guide by Clif Flynt.

10. The Visualization Toolkit: An Object-Oriented Approach to 3D Graphics (4th Edition) by Will Schroeder, KenMartin and Bill Lorensen.

11. The VTK User's Guide by Kitware.

12. Plant Physiology (5th Edition) by Lincoln Taiz and Eduardo Zeiger

13. C++ GUI Programming with Qt 4 (2nd Edition) by Jasmin Blanchette and Mark Summerfield

14. Applied Statistics Using SPSS, STATISTICA, MATLAB and R by Joaquim P. Marques de Sa.

15. Mastering CMake by Ken Martin and Bill Hoffman

16. Beyond the C++ Standard Library: An Introduction to Boostby Bjorn Karlsson

17. The C++ Programming Language (4th Edition)by Bjame Stroustrup

18. Data Structures and Algorithms in C++ by Adam Drozdek

19. Calculus (6th Edition) (Stewart's Calculus Series)by James Stewart

20. Debugging C++: Troubleshooting for Programmersby Chris H. Pappas

21. An Introduction to Applied Geostatistics by Edward H. Isaaks and R. Mohan Srivastava