Page 84 - NGTU_paper_withoutVideo
P. 84
کیتاموئژ نیون یاهدربراک و اه یروآ نف یلم س نارفنک
[21] M. Kabolizade, H. Ebadi, S.Ahmadi, (2010), “An improved snake model for automatic extraction of buildings
from urban aerial images and LiDAR data,” Computers, Environment and Urban Systems, vol 34, pages 435-441.
[22] Elesaid Elhifnawy Eid, H. 2011, "Automated urban features classification and recognition from combind
RGB/Lidar data" in Geomatics engineering. Calgary.
[23] Vu, T. Yamazaki, F. Matsuoka, M. 2009, "Multi-scale solution for building extraction from LiDAR and image
data", International Journal of Applied Earth Observation and Geoinformation, Vol.11, No.4, pp.281-289.
[24] Mumtaz, S.A. Mooney, K. 2008, "Fusion of High Resolution Lidar and Aerial Images for Object Extraction", 2nd
International Conference on Advances in Space Technologies, Islamabad, Pakistan.
[25] Dinis, J. Navarro, A. Soares, F. Santosb, T, Freire, S. Fonseca, A. Afonso, N. Tenedório, J, 2009, “Hiearichical
object-based classification of dense urban areas by integration high spatial resolution satellite and lidar elevation data”,
Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 38-4/C7.
[26] Khoshboresh Mahdi; Sadeghian Saeid (2019) Deep learning based method for reconstructing three
dimensional building cadaster model from aerioal Images, Applied Remote Sensing, December 2019.