Personal Information
Mahmoud Salah

Department of Surveying Engineering, Shoubra Faculty of Engineering, Benha University, Cairo, Shoubra, Egypt

Mahmoud Salah
Educations
From 1994 to 1999, B.Sc. , Egypt
From 2001 to 2004, M.Sc. , Egypt
From 2004 to 2010, PhD , Egypt-Australia
Work Experiences
From 2000 to 2004, Demonstrator , Department of Surveying Engineering, Shoubra faculty of engineering, Benha University
From 2004 to 2008, Assistant Lecturer , Department of Surveying Engineering, Shoubra faculty of engineering, Benha University
From 2008 to 2010, Visiting Research Fellow , School of Surveying and Spatial Information Systems, The University of New South Wales (UNSW), Sydney, Australia
From 2010 to 2016, Assisstant professor , Department of Surveying Engineering, Shoubra faculty of engineering, Benha University
From 2016 to uptodate, Associate professor , Department of Surveying Engineering, Shoubra faculty of engineering, Benha University
Projects
From 09/2007 to 08/2009, Integration of environmental aspects and modern technology and pedagogic (eLearning) in Egypt higher education with special focus on planning , Participated as a student evaluator in the Swedish part of the TEMPUS European Community funded project, JEP-34081-2006, entitled “Integration of environmental aspects and modern technology and pedagogic (eLearning) in Egypt higher education with special focus on planning” with a duration from 2007-09-01 to 2009-08-31.
Speciality
Surveying Engineering
Photogrammetry
Remote Sensing
Image Processing
Journal Articles
El-Mewafi, M., Salah, M. and Fawzi, B., 2018. Assessment of Optical Satellite Images for Bathymetry Estimation in Shallow Areas Using Artificial Neural Network Model. Journal of Geographic Information System, 7(4): 99-106. DOI: 10.5923/j.ajgis.20180704.01.
Haggag, M., Zahran, M. and Salah, M., 2018. Towards Automated Generation of True Orthoimages for Urban Areas American. Journal of Geographic Information System, 7(2): 67-74. DOI: 10.5923/j.ajgis.20180702.03
Saleh, T., Zahran, M., El-Sheaby, A. and Salah, M., 2018. Performance Enhancement of Rational Function Model (RFM) for Improved Geo-position Accuracy of IKONOS Stereo Satellite Imagery. Journal of Geomatics, 12(1):1-12.
Salah, M., 2017. A survey of modern classification techniques in remote sensing for improved image classification. Journal of Geomatics, Vol. 11, No. 1, April 2017, pp. 21.
ElSonbaty, L., Hamed, M., Ali, A. and Salah, M., 2017. 3D City Model Generation Using Aerial Ortho-Rectified Imagery and LIDAR Data Fusion in Semi-Automatic Way. American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS). ISSN (Print) 2313-4410, ISSN (Online) 2313-4402.
ElSonbaty, L., Hamed, M., Ali, A. and Salah, M., 2017. 3D Models Reconstruction from Aerial Ortho-Imagery and LiDAR Data. Journal of Geomatics, Vol. 11, No. 1 April 2017, pp. 9.
Mohamed, H., Negm, A., Salah, M., Nadaoka, K. and Zahran, M., 2017. Assessment of Proposed Approaches for Bathymetry Calculations Using Multispectral Satellite Images in Shallow Coastal/Lake Areas: A Comparison of Five Models. Arabian Journal of Geosciences, 10(42): 17 pages, DOI 10.1007/s12517-016-2803-1.
Salah, M., 2016. Fuzzy Majority Voting-Based Fusion of Markovian Probability for Improved Land Cover Change Prediction: A Case Study of Delta, Egypt. Accepted for Publication, International Journal of Geoinformatics.
Salah, M., 2016. Determination of Shallow Water Depths using Inverse Probability Weighted Interpolation: a hybrid system-based method. International Journal of Geoinformatics, Vol. 12, no. 1, March 2016, pp. 45-55.
Salah, M. and Trinder, J., 2015. Fuzzy C-Means Based Filtering of Lidar Data: A Grid Based Method. International Journal of Geoinformatics, Vol. 11, no. 2, June 2015, pp. 1-11.
Al-Nokrashy, M., Esmat, M., Salah, M., Hamdy, A., 2015. K-Means versus Fuzzy C-Means as objective functions for Genetic Algorithms-Based Classification form Aerial Images and Lidar Data. Journal of Geomatics, Vol. 9, No. 2, October 2015, pp. 153-164.
Al-Nokrashy, M., Esmat, M., Salah, M., Hamdy, A., 2014. Genetic Algorithms Optimization for Land-Cover Classification from High Resolution Digital Imagery. Accepted for publication in Civil Engineering Research Magazine, Faculty of Engineering. Al-Azhar University, Cairo, Egypt.
Doma, M., Salah, M. and Rehab, A. 2014. Sensitivity of Pixel-Based Classifiers to Training Sample Size in Case of High Resolution Satellite Imagery. Journal of Geomatics, Vol. 9, No. 1, April 2015, pp. 53-58.
EL Sagheer, A., Zaki, K., Salah, M. and Marrei, A., 2013. Assessment of Different Height Sources for Orthorectification of High Resolution Satellite Imagery. Civil Engineering Research Magazine, Faculty of Engineering. Al-Azhar University, Cairo, Egypt. Vol. (35) No. (5) November 2013, pp. 85-101.
Shehaby, A., AL Semary, H., Salah, M., Ibrahim, S. 2012. Assessment of Spread Range of Urban Development in the West Delta by Utilizing High Resolution Satellite Images. Journal of Civil Engineering Research, 2(6): 57-63. DOI: 10.5923/j.jce.20120206.02.
Salah, M., ELhadi, K., Amr, H., ELssemary, H., 2012. Accuracy Assessment of DEM generation using High Resolution Stereo-Optical Satellite Imagery. ERJ-Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt. Volume 19, July 2013, pp. 67-82.
Salah, M., Trinder, J. & Shaker, A., 2011. Performance Evaluation of Classification Trees for Building Detection from Aerial Images and Lidar Data: A Comparison of Classification Trees Models. International Journal of Remote Sensing.Volume 32, Issue 20, pp. 5757-5783. DOI: 10.1080/01431161.2010.507678.
Park, H., Salah, M. & Lim, S., 2010. Accuracy of 3d Models Derived from Aerial Laser Scanning and Aerial Ortho-Imagery. Survey Review, 43(320), pp.109-122.
Salah, M., Trinder, J. & Shaker, A., 2009. Evaluation of the Self-Organizing Map Classifier for Building Detection from Lidar Data and Multispectral Aerial Images. Journal of Spatial Science, Vol. (54), No. (2), December 2009.
Shaker, A., Hamed, M., Elsagheer, A., & Salah, M., 2007. Accuracy Assessment of Modern Classification Techniques for Automatic Feature Extraction from Very High Resolution Satellite Imagery. Civil Engineering Research Magazine, Faculty of Engineering. Al-Azhar University, Cairo, Egypt. Vol. (29) No. (3) October 2007, pp. 1075-1094.
Zaky, K., Ghoneim, A., Shebl, S. & Salah, M., 2006. Exploring New Procedure for Road Extraction from High Resolution Satellite Imagery. Civil Engineering Research Magazine, Faculty of Engineering. Al- Azhar University, Cairo, Egypt. Vol. (28) No. (3) October 2006, pp. 1104-1115.
Shaker, A., Elsagheer, A., El-Shehabi, A. & Salah, M., 2004. Accuracy investigation of the Orthorectification Strategies for High Resolution Satellite Images. Civil Engineering Research Magazine, Faculty of Engineering. Al-Azhar University, Cairo, Egypt. Vol. (26) No. (2) April 2004, pp. 918-934.
Shaker, A., Elsagheer, A., El-Shehabi, A. & Salah, M., 2004. Application of High-Resolution Satellite Imagery for Large Scale Maps Updating. Engineering Research Journal, Shoubra Faculty of Engineering. Benha University, Cairo, Egypt. Vol. (1) No. (1) June 2004, pp. 142-158.
Conference Papers
Shaker, A., Saad, A., Salah, M. and Salama, I. (2015) Multiple Polynomial-Based Generation of DEM from Topographic Contour Data. Proceedings of the Regional Conference on Surveying and Development 2015, 3-6 October 2015, Sharm El-Sheikh, Egypt. 15 pages on unpaginated CD-ROM.
Shaker, A. and Salah, M. (2015) Towards a good urban development plan in Sinai through land site suitability maps. Proceedings of the Regional Conference on Surveying and Development 2015, 3-6 October 2015, Sharm El-Sheikh, Egypt. 12 pages on unpaginated CD-ROM.
Dr. El-Nokrashy, M., Adel, E, Salah, M. and Hamdy, A. (2015) Mapping from fused aerial images and LiDAR data using GA-based classification. Proceedings of the Regional Conference on Surveying and Development 2015, 3-6 October 2015, Sharm El-Sheikh, Egypt. 26 pages on unpaginated CD-ROM.
Loutfia, E., Hamed, M., Ali, A., and Salah, M. (2015) Semi-Automatic 3D City Model Generation Using Aerial Ortho-Rectified Imagery and LIDAR Data Fusion. Proceedings of the Regional Conference on Surveying and Development 2015, 3-6 October 2015, Sharm El-Sheikh, Egypt. 11 pages on unpaginated CD-ROM.
Salah, M., 2014. Combining Pixel-Based and Object-Oriented Support Vector Machines using Bayesian Probability Theory. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, , II-7, 29 September – 2 October 2014, Istanbul, Turkey, p.67-74, doi:10.5194/isprsannals-II-7-67-2014.
J.C.Trinder, M. Salah, 2012. Aerial Images and Lidar Data Fusion for Disaster Change Detection. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume I-4, 2012, XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia, p. 227 to 232.
J.C.Trinder, M. Salah, 2011. Disaster Change Detection Using Airborne Lidar. Proceedings of the Spatial Sciences & Surveying Biennial Conference, 2011, 21-25 November 2011, Wellington, New Zealand, p. 231 to 242.
J.C.Trinder, M. Salah, 2011. Airborne Lidar as a Tool for Disaster Monitoring and Management. GeoInformation for Disaster Management, Antalya, Turkey, 3-8 April, paper OP09, http://www.isprs.org/proceedings/2011/Gi4DM/CDDATA/index.html.
TRINDER, J.C., & GOMAH, M.S., 2011. Optimization and validation of support vector machines for land cover classification from aerial images and LiDAR data. 34th Int. Symp. on Remote Sensing of Environment, Sydney, Australia, 10-15 April, page 895, http://www.isprs.org/proceedings/2011/ISRSE-34/index.html.
John Trinder, Mahmoud Salah, Ahmed Shaker, Mahmoud Hamed, Ali Elsagheer, 2010. Combining Statistical and Neural Classifiers Using Dempster-Shafer Theory of Evidence for Improved Building Detection. Proceedings 15th Australasian Remote Sensing and Photogrammetry Conference, Alice Springs, 13-16 September 2010, pp1134-1143.
Salah, M., Trinder, J., Shaker, A., Hamed, M. and Elsagheer, A., 2010. Integrating Multiple Classifiers With Fuzzy Majority Voting for Improved Land Cover Classification, ISPRS International Archive of Photogrammetry, Remote Sensing & GIS, Volume 39 (3) Part A, pp7-12.
Salah, M. and Trinder, J., 2009. Support Vector Machines Based Filtering of Lidar Data: A Grid Based Method. In the XXIV Fig International Congress 2010, 11-16 April 2010, Sydney, Australia [Online]. Available From https://www.fig.net/pub/fig2010/papers/ts07d/ts07d_gomah_trinder_4063.pdf.
Salah, M. and Trinder, J., 2009. Fuzzy ARTMAP Neural Networks for Automatic Feature Extraction from Aerial Images and Lidar Data. In Lees, B.G. & Laffan, S.W. (Eds), 10th International Conference on Geocomputation, UNSW, Sydney, 30 November-2 December, 2009, pp. 224 – 232.
Salah, M., Trinder, J., Shaker, A., Hamed, M. and Elsagheer, A., 2009. Aerial Images and Lidar Data Fusion for Automatic Feature Extraction Using the Self-Organizing Map (SOM) Classifier. In: Bretar F, Pierrot-Deseilligny M, Vosselman G (Eds), Laser Scanning 2009, IAPRS, Vol. Xxxviii, Part 3/W8 – Paris, France, September 1-2, 2009, pp. 317 – 322.
Honors and Awards
Best scientific paper award for a paper entitled" Towards a good urban development plan in Sinai through land site suitability maps". Proceedings of the Regional Conference on Surveying and Development 2015, 3-6 October 2015, Sharm El-Sheikh, Egypt.
Invited Talks
Participated as a speaker in a session entitled “Information Extraction " in workshop on “Lidar Data Acquisition and processing”, organized by The School of Surveying and Spatial Information Systems, University of New South Wales, Sydney, Australia which was held between 22 and 23 February 2010 (ISA NSW Inc Event code: 08.92 PPA&PPB).
ADDRESS
Science Publishing Group
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U.S.A.
Tel: (001)347-688-8931