Support vector machines: Optimization and validation for land cover mapping using aerial images and lidar data

34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring

Volumn , Issue , 2011, Pages

  Trinder, J C ^a   Salah, M ^b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b Benha University ^*  (Egypt)

Author keywords

Aerial images; Attributes; GLCM; LIDAR; Optimization; SVMs; Validation

Indexed keywords

AERIAL IMAGES; ATTRIBUTES; GLCM; SVMS; VALIDATION;

AERIAL PHOTOGRAPHY; CONFORMAL MAPPING; ENVIRONMENTAL ENGINEERING; ERRORS; OPTICAL RADAR; OPTIMIZATION; REMOTE SENSING;

SUPPORT VECTOR MACHINES;

EID: 84879741855     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Breiman, L., J. H. Friedman, R. A. Olshen, and C. J. Stone (Editors). 1984. Classification and Regression Trees, Chapman & Hall, New York, 358 p.
2. Haitao, LI., Haiyan, GU., Yanshun, HAN., and Jinghui, YANG. 2007. Fusion of high-resolution aerial imagery and lidar data for object-oriented urban land-cover classification based on svm. In Proceedings of the ISPRS Workshop on Updating Geospatial Databases with Imagery & The 5th ISPRS Workshop on Dynamic and Multi-dimensional GIS, 28 - 29 August 2007, Urumchi, China. Edited by J. Jie and Z. Renliang, International Society for Photogrammetry and Remote Sensing. pp. 179-183.
3. Hsu, C.W., Chang, C.C., and Lin, C.J. 2009. A Practical Guide to Support Vector Classification. Department of Computer Science, National Taiwan University [online]. Available from < http://www.csie.ntu.edu.tw/~cjlin/ papers/guide/guide.pdf > [cited (July 23, 2009)].
4. Kohonen, T. 2001. Self-Organizing Maps. Third Edition, Springer-Verlag, Berlin.
5. M. Salah, J. Trinder, and A. Shaker, "Evaluation of the selforganizing map classifier for building detection from lidar data and multispectral aerial images", Journal of Spatial Science, Vol. 54 No. 2, pp 15-34, 2009.
6. Secord, J., and Zakhor, A. 2006. Tree detection in aerial lidar and image data. In Proceedings of the International Conference on Image Processing, ICIP 2006, October 8-11, Atlanta, Georgia, USA. Edited by M. Hayes, Y. Altunbasak and G. AlRegib, Georgia Institute of Technology. pp. 2317-2320.
7. Vapnik, V. 1979. Estimation of Dependences Based on Empirical Data [in Russian]. Nauka, Moscow, 1979. (English translation: Springer Verlag, New York, 1982).