Chehata, N., Bretar, F., 2008. Terrain modeling from lidar data: 
Hierarchical K-means filtering and Markovian regularization. 
Proc. IEEE ICIP 2008, pp. 1900—1903. 
Corina, L, Didier, B., Matthieu, C., 2008. Detection, 
characterization, and modeling vegetation in urban areas from 
high-resolution aerial imagery. JEEE Journal of Selected Topics 
in Applied Earth Observations and Remote Sensing, 1(3), pp. 
206-213. 
Cramer, M., 2010. The DGPF test on digital aerial camera 
evaluation — overview and test design. Photogrammetrie — 
Fernerkundung — Geoinformation 2(2010), pp. 73-82. 
Filin, S., 2002. Surface clustering from airborne laser scanning 
data. The International Archives of the Photogrammetry, 
Remote Sensing and Spatial Information Sciences. 34(3A), pp. 
119—124. 
Haim, P., Joseph, F., Ian J., 2006. A study of Gaussian mixture 
models of color and texture features for image classification and 
segmentation. Pattern Recognition, 39(4), pp. 695-706. 
Kraus, K., Pfeifer, N., 1998. Determination of terrain models in 
wooded areas with airborne laser scanner data. ISPRS J 
Photogramm Remote Sens, 53(4), pp. 193-203. 
Maloof, M.A., Langley, P., Binford, T.O., Nevatia, R., Sage, S., 
2003. Improved Rooftop Detection in Aerial Images with 
Machine Learning. Journal of Machine Learning, 53(1-2), pp. 
157-191. 
Mokhtarzade, M. , Valadan Zoej, M.J., 2007. Road detection 
from high-resolution satellite images using artificial neural 
networks. /nternational Journal of Applied Earth Observation 
and Geoinformation, 9(1), pp. 32-40. 
Parrish, C.E., 2008. Exploiting full-waveform lidar data and 
multiresolution wavelet analysis for vertical object detection 
and recognition. /nternational Geoscience and Remote Sensing 
Symposium (IGARSS), pp. 2499-2502. 
Platt, R.V. and Rapoza, L., 2008. An evaluation of an object- 
oriented paradigm for land use/land cover classification, 
Professional Geographer, 60, pp. 87-100. 
Roggero, M., 2002. Object segmentation with region growing 
and principal component analysis. The International Archives of 
the Photogrammetry, Remote Sensing and Spatial Information 
Sciences, 34(3A), pp. 289—294. 
Rutzinger, M., Rottensteiner, F., Pfeifer, N., 2009. A 
comparison of evaluation techniques for building extraction 
from airborne laser scanning. IEEE Journal of Selected Topics 
in Applied Earth Observations and Remote Sensing 2(1), pp. 
11-20. 
Sheng-hua, Z., Jian-jun, H., Wei-xin, X., 2008. A new method 
of building detection from a single aerial photograph. 9th 
International Conference on Signal Processing, ICSP 2008, pp. 
1219-22 
Solka, J.L., Marchette, D.J., Wallet, B.C., Irwin, V.L., Rogers, 
G.W., 1998. Identification of man-made regions in unmanned 
aerial vehicle imagery and videos. [EEE Transactions of 
Pattern Analalysis, 20(8), pp. 852—857. 
   
  
  
  
   
   
   
  
  
  
  
  
   
  
  
  
  
  
  
  
  
   
  
  
   
  
  
  
  
  
  
  
  
   
  
  
  
   
  
  
   
  
  
  
   
  
  
  
  
  
  
  
  
  
  
  
  
  
  
   
Song, J.-H., Han, S.-H., Yu, K., Kim, Y.-I., 2002. Assessing the 
possibility of land-cover classification using lidar intensity data, 
The International Archives of the Photogrammetry, Remote 
Sensing and Spatial Information Sciences, 34 (3B), 259-262. 
Wei, W., Xin, Y., 2010. Rapid, man-made object morphological 
segmentation for aerial images using a multi-scaled, geometric 
image analysis. Image and Vision Computing, 28(4), pp. 626- 
633. 
Zulong, L., Shaohong, S., Xingyi, C., Xinmei, L., Jie, Z., 2009. 
Using LIDAR data and airborne spectral images for urban land 
cover classification based on fuzzy set method. Proceedings of 
the SPIE, (7492), pp. 749201-749201-6. 
  
IN 
KEY 
ABS 
Mobi 
autor 
imag 
by p: 
papel 
featu 
gradi 
been 
recor 
Lase 
tion 
ment 
inten 
surer 
3-D 
range 
imag 
ages 
use 
is res 
map] 
colle 
the v 
conte 
limit 
ing r 
to im 
teres 
look 
Proc 
jects 
searc 
ages 
imag 
ing t 
and | 
Web 
imag 
simi] 
eas : 
dime 
regu 
rang