Mahmoud Salah
Mahmoud Salah
Faculty of Engineering Shoubra - Surveying Engineering Department
Verified email at feng.bu.edu.eg - Homepage
Title
Cited by
Cited by
Year
Evaluation of the self‐organizing map classifier for building detection from lidar data and multispectral aerial images
M Salah, J Trinder, A Shaker
Journal of Spatial Science 54 (2), 15-34, 2009
492009
Prevalence and comorbidity of depression, anxiety and obsessive compulsive disorders among Saudi secondary school girls, Taif Area, KSA
DELS DESOUKY, RA Ibrahem, MS Omar
ARCHIVES OF IRANIAN MEDICINE 18 (4), 234-238, 2015
262015
Aerial images and LiDAR data fusion for disaster change detection
J Trinder, M Salah
ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci 1, 227-232, 2012
222012
A survey of modern classification techniques in remote sensing for improved image classification
M Salah
Journal of Geomatics 11 (1), 21, 2017
102017
Disaster change detection using airborne LiDAR
J Trinder, M Salah
Proc. Surv. Spat. Sci. Biennial Conf., 21-25, 2011
92011
Integrating multiple classifiers with fuzzy majority voting for improved land cover classification
M Salah, JC Trinder, A Shaker, M Hamed, A Elsagheer
Proc. Int. Arch. of Photogramm. Remote Sens, 2010
92010
Performance evaluation of classification trees for building detection from aerial images and LiDAR data: a comparison of classification trees models
M Salah, JC Trinder, A Shaker
International journal of remote sensing 32 (20), 5757-5783, 2011
82011
Support Vector Machines: Optimization and validation for land cover mapping using aerial images and lidar data
JC Trinder, M Salah
Laser 1 (1.064), 1.047, 2011
72011
Support vector machines based filtering of lidar data: a grid based method
M Salah, J Trinder
72010
Aerial images and lidar data fusion for automatic feature extraction using the self-organizing map (som) classifier
M Salah, J Trinder, A Shaker, M Hamed, A Elsagheer
proceedings of the 38th ISPRS Congress-XXXVIII, Part 3/W8, 1-2, 2009
72009
Assessment of proposed approaches for bathymetry calculations using multispectral satellite images in shallow coastal/lake areas: a comparison of five models
H Mohamed, M Salah, K Nadaoka, M Zahran
Arabian Journal of Geosciences 10 (2), 42, 2017
62017
Sensitivity of pixel-based classifiers to training sample size in cas of high resolution satellite imagery
ML Doma, MS Gomaa, RA Amer
Journal of Geomatics 9 (1), 53-58, 2015
62015
Accuracy of 3D models derived from aerial laser scanning and aerial ortho-imagery
H Park, M Salah, S Lim
Survey Review 43 (320), 109-122, 2011
52011
Airborne Lidar as a Tool for Disaster Monitoring and Management
JC Trinder, M Salah
Proceedings of the GeoInformation for Disaster Management, Antalya, Turkey, 3-8, 2011
42011
Assessment of spread range of urban development in the west delta by utilizing high resolution satellite images
A Shehaby, M Semary, M Salah, SM Ibrahim
J. Civ. Eng. Res 2 (6), 57-63, 2012
32012
Towards Automatic Feature Extraction from High Resolution Digital Imagery and Lidar Data for GIS Applications
M Salah
Benha University, 2010
32010
A note on Riemann zeta function
JY Salah
IOSR Journal of Engineering (IOSRJEN) 6 (2), 7-16, 2016
22016
Determination of Shallow Water Depths using Inverse Probability Weighted Interpolation: a hybrid system-based method
M Salah
International Journal of Geoinformatics 12 (1), 45-55, 2016
22016
Combining statistical and neural classifiers using Dempster-Shafer theory of evidence for improved building detection
J Trinder, M Salah, A Shaker, M Hamed, A Elsagheer
Proc. 15th Australas. Remote Sens. Photogramm. Conf, 13-16, 2010
22010
Fuzzy ARTMAP neural networks for automatic feature extraction from aerial images and lidar data
M Salah, J Trinder
Proc. GeoComputation 2009 conference, UNSW Sydney, Australia 30, 2009
22009
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