1- A. Agarwal, T. El-Ghazawi, H. El-Askary, and J. Le-Moigne, “Efficient Hierarchical-PCA Dimension Reduction for Hyperspectral Imagery,” in 2007 IEEE International Symposium on Signal Processing and Information Technology, 2007, pp. 353–356.
2- A. J. Richardson and J. H. Everitt, “Using spectral vegetation indices to estimate rangeland productivity,” Geocarto Int., vol. 7, no. 1, pp. 63–69, 1992.
3- A. Moussa and N. El-Sheimy, “A new object based method for automated extraction of urban objects from airborne sensors data,” in Proceedings of: XXII ISPRS Congress, Melbourne, Australia, 2012.
4- B. Sirmacek and C. Unsalan, “Building detection from aerial images using invariant color features and shadow information,” in Computer and Information Sciences, 2008. ISCIS’08. 23rd International Symposium on, 2008, pp. 1–5.
5- C. F. Jordan, “Derivation of leaf-area index from quality of light on the forest floor,” Ecology, pp. 663– 666, 1969.
6- C. Fuchs, “Extraktion polymorpher Bildstrukturen und ihre topologische und geometrische Gruppierung,” Bayerischen Akademie der Wissenschaften, Munchen, 1998.
7- C. Lin and R. Nevatia, “Building detection and description from a single intensity image,” Comput. Vis. Image Underst., vol. 72, no. 2, pp. 101–121, 1998.
8- C.-I. Chang and Q. Du, “Estimation of number of spectrally distinct signal sources in hyperspectral imagery,” IEEE Trans. Geosci. Remote Sens., vol. 42, no. 3, pp. 608–619, 2004.
9- D. Grigillo and U. Kanjir, “Urban object extraction from digital surface model and digital aerial images,” in Proceedings of XXII ISPRS Congress, Melbourne, Australia, 2012.
10- F. J. Kriegler, W. A. Malila, R. F. Nalepka, and W. Richardson, “Preprocessing transformations and their
effects on multispectral recognition,” in Remote Sensing of Environment, VI, 1969, vol. 1, p. 97.
11- F. Rottensteiner and C. Briese, “A new method for building extraction in urban areas from high-resolution LIDAR data,” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., vol. 34, no. 3/A, pp. 295–301, 2002.
12- G. Sohn and I. J. Dowman, “Extraction of buildings from high resolution satellite data,” Autom. Extr. Man- Made Objects Aer. Space Images III Balkema Publ. Lisse, pp. 345–355, 2001.
13- G. Vosselman, B. G. H. Gorte, and G. Sithole, “Change detection for updating medium scale maps using laser altimetry,” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., vol. 34, pp. 1–6, 2004.
14- G. Vozikis, Application of High Resolution Remote Sensing Data – Part III URBAN DATA COLLECTION: AN AUTOMATED APPROACH IN REMOTE SENSING. .
15- H. Arefi and M. Hahn, “A morphological reconstruction algorithm for separating off-terrain points from terrain
points in laser scanning data,” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., vol. 36, no. 3/W19, 2005.
16- H.-G. Maas and G. Vosselman, “Two algorithms for extracting building models from raw laser altimetry data,” ISPRS J. Photogramm. Remote Sens., vol. 54, no. 2, pp. 153–163, 1999.
17- J. A. Benediktsson, M. Pesaresi, and K. Amason, “Classification and feature extraction for remote sensing images from urban areas based on morphological transformations,” Geosci. Remote Sens. IEEE Trans. On, vol. 41, no. 9, pp. 1940–1949, 2003.
18- J. Niemeyer, F. Rottensteiner, and U. Soergel, “Classification of urban LiDAR data using conditional random field and random forests,” in Urban Remote Sensing Event (JURSE), 2013 Joint, 2013, pp. 139–142.
19- J. Niemeyer, F. Rottensteiner, and U. Soergel, “Conditional random fields for lidar point cloud classification in complex urban areas,” ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci., vol. 1, no. 3, pp. 263–268, 2012.
20- J. Qi, A. Chehbouni, A. R. Huete, Y. H. Kerr, and S. Sorooshian, “A modified soil adjusted vegetation index,” Remote Sens. Environ., vol. 48, no. 2, pp. 119–126, 1994.
21- J. Zhao and S. You, “Road network extraction from airborne LiDAR data using scene context,” in Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE Computer Society Conference on, 2012, pp. 9–16.
22- K. Kraus and N. Pfeifer, “Determination of terrain models in wooded areas with airborne laser scanner data,” ISPRS J. Photogramm. Remote Sens., vol. 53, no. 4, pp. 193–203, 1998.
23- L. J. P. V. D. Maaten, “An introduction to dimensionality reduction using matlab,” 2002.
24- M. Hasanlou and F. Samadzadegan, “Comparative Study of Intrinsic Dimensionality Estimation and Dimension Reduction Techniques on Hyperspectral Images Using K-NN Classifier,” IEEE Geosci. Remote Sens. Lett. vol. 9, no. 6, pp. 1046–1050, 2012.
25- M. Hebel and U. Stilla, “Pre-classification of points and segmentation of urban objects by scan line analysis of airborne LiDAR data,” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., vol. 37, no. B3a, pp. 105–110, 2008.
26- M. Persson, M. Sandvall, and T. Duckett, “Automatic building detection from aerial images for mobile robot mapping,” in Computational Intelligence in Robotics and Automation, 2005. CIRA 2005. Proceedings. 2005 IEEE International Symposium on, 2005, pp. 273–278.
27- P. Bajorski, “Second Moment Linear Dimensionality as an Alternative to Virtual Dimensionality,” IEEE Trans. Geosci. Remote Sens., vol. 49, no. 2, pp. 672–678, 2011.
28- Q. Zhan, M. Molenaar, and K. Tempfli, “Building extraction from laser data by reasoning on image segments in elevation slices,” Int. Arch. Photogramm. REMOTE Sens. Spat. Inf. Sci., vol. 34, no. 3/B, pp. 305–308, 2002.
29- R. C. Gonzalez and R. E. Woods, Digital Image Processing, 3 edition. Upper Saddle River, N.J: Prentice
Hall, 2007.
30- R. Weibel and M. Heller, Digital terrain modelling. Oxford University Press, 1993.
31- S. A. Mumtaz and K. Mooney, “Fusion of high resolution lidar and aerial images for object extraction,” in Advances in Space Technologies, 2008. ICAST 2008. 2nd International Conference on, 2008, pp. 137–142.
32- S. Lefèvre and J. Weber, “Automatic building extraction in VHR images using advanced morphological operators,”
in Urban Remote Sensing Joint Event, 2007, 2007, pp. 1–5.
33- S. Müller and D. W. Zaum, “Robust building detection in aerial images,” Int. Arch. Photogramm. Remote Sens.,
vol. 36, no. B2/W24, pp. 143–148, 2005.
34- T. Cover and P. Hart, “Nearest neighbor pattern classification,” IEEE Trans. Inf. Theory, vol. 13, no. 1,
pp. 21–27, Jan. 1967.
35- T. Gevers and A. W. Smeulders, “Pictoseek: Combining color and shape invariant features for image retrieval,” Image Process. IEEE Trans. On, vol. 9, no. 1, pp. 102–119, 2000.
36- T. Vögtle and E. Steinle, “On the quality of object classification and automated building modelling based on laserscanning data,” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., vol. 34, no. Part 3, p. W13, 2003.
37- U. Weidner and W. Förstner, “Towards automatic building extraction from high-resolution digital elevation models,” ISPRS J. Photogramm. Remote Sens., vol. 50, no. 4, pp. 38–49, 1995.
38- "WorldView-2," Wikipedia, the free encyclopedia. 30-Nov-2014.
39- W. Rieger, M. Kerschner, T. Reiter, and F. Rottensteiner, “Roads and buildings from laser scanner data within a forest enterprise,” Int. Arch. Photogramm. Remote Sens., vol. 32, no. Part 3, p. W14, 1999.
40- Y. Wei, W. Yao, J. Wu, M. Schmitt, and U. Stilla, “Adaboost-based feature relevance assessment in fusing lidar and image data for classification of trees and vehicles in urban scenes,” ISPRS Ann.