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Papers in Refereed Journal
  1. Shaker, A., Easa, S.. and Yan, W.Y. 2016. Improved parameter estimation of line-based transformation model for remote sensing image registration. International Journal of Spatial Science. (Submitted)
  2. Yan, W.Y ., Easa, S., and Shaker, A. 2016. A novel polygon-based image registration approach for geo-referencing historical maps. Computers & Geosciences. (Submitted)
  3. Fasial, K., Shaker, A., and Habbani, S. 2016. Modelling the relationship between the gross domestic product and built-up area using remote sensing and GIS data: a case study of seven major cities in Canada. ISPRS International Journal of Geo-Information, 5(3), 23, DOI:10.3390/ijgi5030023. [pdf]
  4. Yan, W.Y. and Shaker, A. 2016. Radiometric normalization of overlapping LiDAR intensity data for reduction of striping noise. International Journal of Digital Earth, 9(7), 649-661.
  5. Khin, M.M.L., Shaker, A., Joksimovic, D. and Yan, W.Y. 2016. The use of Worldview-2 satellite imagery to model urban drainage system with low impact development (LID) techniques. GeoCarto International, 31(1), 92-108.
  6. Yan, W.Y., Morsy, S., Shaker, A., and Tulloch, M. 2016. Automatic extraction of highway light poles and towers from mobile LiDAR data. Optics & Laser Technology, 77, 162-168. (Ranked 16th (Oct. to Dec.) in one of the top 25 hottest articles under ScienceDirect)
  7. Yan, W.Y., Shaker, A., and El-Ashmawy, N. 2015. Urban land cover classification using airborne LiDAR data: a review. Remote Sensing of Environment, Vol. 158, pp. 295-310. (Ranked 1st (Jan. to Mar.), 3rd (Apr. to Jun.), 10th (Jul. to Sept.), 22th (Oct. to Dec.) in one of the top 25 hottest articles under ScienceDirect)
  8. Armenakis, C., and Shaker, A. 2014. Advanced Geomatics for Global Studies/Geomatique de pointe pour les etudes globales. Geomatica, Vol. 68, No. 2, pp. 91-92. [pdf]
  9. Yan, W.Y., Mahendrarajah, P., Shaker, A., Faisal, K., Luong, R., and Al-Ahmad, M. 2014. Analysis of multi-temporal Landsat satellite images for monitoring land surface temperature of municipal solid waste disposal sites. Environmental Monitoring and Assessment, Vol. 186, No. 12, pp. 8161-8173.
  10. Yan, W.Y. and Shaker, A. 2014. Radiometric correction and normalization of airborne LiDAR intensity data for improving land cover classification. IEEE Transanctions on Geoscience and Remote Sensing, Vol. 52, No. 2, pp. 7658-7673.
  11. Yan, W.Y., Shaker, A., and Easa, S.M. 2013. Potential accuracy of traffic signs' positions extracted from Google Street View. IEEE Transactions on Intelligent Transportation Systems, Vol. 14, No. 2, pp. 1011-1016.
  12. Shaker, A., Yan, W.Y., and El-Ashmawy, N. 2012. Panchromatic satellite image classification for flood hazard assessment. Journal of Applied Research and Technology, Vol. 10, No. 6, pp. 902-911.
  13. Yan, W.Y., Shaker, A., Habib, A., and Kersting, A.P. 2012. Improving classification accuracy of airborne LiDAR intensity data by geometric calibration and
    radiometric correction. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 67, pp. 35-44. (Ranked 7th (Apr. to Jun.), 10th (Jan. to Mar.) and 12th (Jan. to Dec.) in one of the top 25 hottest articles under ScienceDirect)
  14. Habib, A., Kersting, A.P., Shaker, A., and Yan, W.Y. 2011. Geometric calibration and radiometric correction of LiDAR data and their impact on the quality of derived products. Sensors, Vol. 11, No. 9, pp. 9069-9097. [pdf]
  15. Yan, W.Y., and Shaker, A. 2011. The effects of combining classifiers with the same training statistics using Bayesian decision rules. International Journal of Remote Sensing, Vol. 32, No. 13, pp. 3729-3745.
  16. Wong, M.S., Nichol, J., Shaker, A., and Hui, C.F. 2011. Data fusion using aerial photographs and satellite images for detailed landslide assessment. International Journal of Image and Data Fusion, Vol. 2, No. 2, pp. 181-190.
  17. Shaker, A., Yan, W.Y., and Easa, S.M., 2011. Construction of digital 3D highway model using stereo IKONOS satellite imagery. GeoCarto International, Vol. 26, No.1, pp. 49-67.
  18. Shaker, A., Faisal, K., El-Ashmawy, N., and Yan, W.Y. 2010. Effectiveness of using remote sensing techniques in monitoring landfill sites using multi-temporal Landsat satellite data. Al-Azhar University Engineering Journal, Vol. 5, No. 1, pp. 542-551.
  19. Shaker, A., Yan, W.Y., and Easa, S.M., 2010. Using stereo satellite imagery for topographic and transportation applications: an accuracy assessment. GIScience and Remote Sensing, Vol. 47, No. 3, pp. 321-337.
  20. Wong, M.S., Shaker, A., and Lee, K.H., 2010. Integrating biophysical and socioeconomic data to support land surface temperature analysis: an example in Hong Kong. International Journal of Geoinformatics. Vol. 6, No. 1, pp.1-10.
  21. Easa, S. and Shaker, A., 2010. Error propagation of the hidden-point bar method: Effect of bar geometry. International Journal of Applied Science, Engineering and Technology, Vol. 6, No. 1, pp. 8-14. [pdf]
  22. Easa, S., and Shaker, A., 2008. Effect of bar geometry on position accuracy of hidden-point bar method. Al-Azhar University Engineering Journal, JAUES, Vol. 3, No.10, pp. 721-728.
  23. Shaker, A., Nichol, J.E., and Wong, M.S., 2008. Potential accuracy of image orientation of small satellites: A case study of CHRIS/PROBA data. Photogrammetric Record, Vol. 23, No.123, pp. 1-15.
  24. Shaker, A., 2008. Satellite sensor modeling and 3D geo-positioning using empirical models, International Journal of Applied Earth Observation and Geoinformation, Vol. 10, pp. 282-295.
  25. Nichol, J.E.,and Shaker, A., Wong, M.S., 2006. Application of high-resolution stereo satellite images to detailed landslide hazard assessment. Geomorphology, Vol. 76, pp. 68-75. (Ranked 2nd across Apr. to Jun. 2006 in one of the top 25 hottest articles under ScienceDirect)
  26. Shi, W.Z., and Shaker, A., 2006. The line-based transformation model (LBTM) for image to image registration of high-resolution satellites. International Journal of Remote Sensing, Vol. 27, No. 14, pp. 3001-3012.
  27. Dai, E. , Wu, S., Shi, W.Z., Cheung, C. and Shaker, A., 2005. Modeling change-pattern-value dynamics on land use: An Integrated GIS and artificial neural networks approach. Environmental Management. Vol. 36, No. 4, pp. 576-591.
  28. Shaker, A., Shi, W.Z., and Barakat, H., 2005. Assessment of the rectification accuracy of Ikonos imagery based on two-dimensional models. International Journal of Remote Sensing, Vol. 26, No. 4, pp. 719-731.
  29. Shi, W.Z, and Shaker, A., 2004. Approximate approaches for geometric corrections of high resolution satellite imagery. Geo-spatial Information Science, Vol. 7, No. 1, pp. 24-30.
  30. Shi, W.Z., and Shaker, A., 2003. Analysis of terrain elevation effects on Ikonos imagery rectification accuracy by using non-rigorous models. Photogrammetric Engineering and Remote Sensing, Vol. 69, No. 12, pp.1359-1366. [pdf]
  31. Barakat, H., El-Ashmawy, N., and Shaker, A., 2002. Comparison between approximate and rigorous mathematical modeling for stereo SPOT imagery. Journal of Civil Engineering, Al Azhar University (CERM), Vol. 24, No. 4, pp. 1131-1147.
  32. Elmanadili, Y. and Shaker, A., 2000. Assessment of different image classification techniques. Journal of Civil Engineering, Al Azhar University (CERM), Vol. 22, No. 1, pp. 130-144.
Papers in Conference Proceedings
  1. Morsy, S., Shaker, A., El-Rabbany, A., & LaRocque, P. 2016. Airborne multispectral LiDAR data for land-cover classification and land/water mapping using different spectral indexes. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume III-3, 217-224. [pdf]
  2. Yan, W.Y., and Shaker, A. 2016. Reduction of striping noise in overlapping LiDAR intensity data by radiometric normalization. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B1, pp.151-156. [pdf]
  3. El-Ashmawy, N., and Shaker, A. 2014.Raster v.s. point cloud LiDAR data classification. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-7, pp. 79-83. [pdf]
  4. El-Ashmawy, N., and Shaker, A. 2014. Innovated approach for LiDAR intensity data classification. IEEE International Geoscience and Remote Sensing Symposium 2014, Quebec City, Quebec, Canada, July 13-18, 2014, pp. 169-172.
  5. Yan, W.Y. and Shaker, A. 2014. Radiometric correction and normalization of airborne LiDAR intensity data. IEEE International Geoscience and Remote Sensing Symposium 2014, Quebec City, Quebec, Canada, July 13-18, 2014.
  6. Khin, M.M.L., Yan, W.Y., Shaker, A. , and Josimovic, D. 2014. Urban drainage modelling using Worldview-2 satellite imagery. IEEE International Geoscience and Remote Sensing Symposium 2014, Quebec City, Quebec, Canada, July 13-18, 2014.
  7. Faisal, K. and Shaker, A. 2014. The use of remote sensing technique to predict Gross Domestic Product (GDP): An analysis of built-up Index and GDP in nine major cities in Canada. The International Archive of the Photogrammetry, Remote Sensing and Spatial Information Science, XL-7, pp.85-92. [pdf]
  8. El-Ashmawy, N., Shaker, A., Joksimovic, D., and Yan, W.Y. 2013. Satellite image data for hydrological modelling of urban areas. The 21st Canadian Hydrotechnical Conference, Banff, Alberta, Canada, May 14-17, 2013.
  9. Shaker, A., and El-Ashmawy, N. 2012. Land cover information extraction using LiDAR Data. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, August 25 - September 01, 2012, Melbourne, Australia, pp. 167-172. [pdf]
  10. Faisal, K., Al-Ahmad, M., and Shaker, A. 2012. Remote sensing techniques as a tool for environmental monitoring. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 XXII ISPRS Congress, August 25 - September 01, 2012, Melbourne, Australia, pp. 513-518. [pdf]
  11. Zou, W.B., Yan, W.Y., Shaker, A. 2012. Neural network based remote sensing image classification in urban area. IEEE-INNS International Joint Conference on Neural Networks, Brisbane, Australia, June 10-15, 2012.
  12. Shaker, A. , Yan, W.Y., and El-Ashmawy, N. 2011. The effects of laser reflection angle on radiometric correction of the airborne LiDAR intensity data. ISPRS Workshop Laser Scanning 2011, Calgary, Canada, August 29-31, 2011.
  13. El-Ashmawy, N., Shaker, A., and Yan, W.Y. 2011. Pixel vs object-based image classification techniques for LiDAR intensity data. ISPRS Workshop Laser Scanning 2011, Calgary, Canada, August 29-31, 2011. [pdf]
  14. Zou, W.B., Yan, W.Y., and Shaker, A. 2011. Structure-based neural network classification for panchromatic IKONOS image using wavelet-based features. The 8th International Conference Computer Graphics, Imaging and Visualization, Singapore, August 16-19, 2011, pp. 151-155
  15. Shaker, A., Faisal, K., and Yan, W.Y. 2011. Integration between ground-based and space-based measurements for monitoring landfill sites. Geomatics Technologies in the City - First International Geomatics Symposium in Saudi Arabia, Jeddah, Saudi Arabia, May 10-13, 2011.
  16. Yan, W.Y., Shaker, A., Joksimovic, D., and Dialameh, A. 2010. Remote sensing techniques as a tool for development of small scale urban runoff models. Remote Sensing and Hydrology 2010 Symposium. Wyoming, USA, September 27-30, 2010.
  17. Shaker, A., and Yan, W.Y. 2010. Trail road landfill site monitoring using multi-temporal Landsat satellite data. Canadian Geomatics Conference 2010 and ISPRS COM I Symposium. Calgary, Canada, June 15-18, 2010.
  18. Yan, W.Y., and Shaker, A. 2010. Radiometric calibration of airborne LiDAR intensity data for land cover classification. Canadian Geomatics Conference 2010 and ISPRS COM I Symposium. Calgary, Canada, June 15-18, 2010.
  19. Shaker, A., Yan, W.Y., and Mirtorabi, R. 2010. Environmental monitoring of landfill sites using multi-temporal Landsat satellite images. International Conference and Exhibition MELAHA 2010. Cairo, Egypt, May 3-5, 2010.
  20. Yan, W.Y., and Shaker A., 2010. Flood hazard assessment from panchromatic satellite imagery: a case study on the Nile river. International Conference and Exhibition MELAHA 2010. Cairo, Egypt, May 3-5, 2010.
  21. Yan, W.Y., Shaker, A., and Zou, W.B., 2009. Panchromatic IKONOS image classification using wavelet based features. In Proceedings of 2009 IEEE Toronto International Conference - Science and Technology for Humanity. Toronto, Canada, September 27-29, 2009, pp. 456-461.
  22. Shaker, A., and Yan, W.Y. 2009. The use of stereo satellite imagery: applicability and accuracy assessment. 30th Canadian Symposium on Remote Sensing. Lethbridge Alberta Canada, June 22-25, 2009, pp. 169-181.
  23. Yan, W.Y., Shaker, A., and Easa, S., 2009. Extraction of 3D highway parameters using stereo high resolution satellite imagery. Proceedings of the 1st International Postgraduate Conference on Infrastructure and Environment. Hong Kong, 5-6 June 2009, pp. 528-535.
  24. Yan, W.Y., Shaker, A. and Easa, S.M., 2009. Development of 3D highway visualization model using stereo IKONOS satellite imagery, CSCE 2009 Annual General Conference. St. John's, Newfoundland and Labrador, Canada, May 27-30, 2009, on CD ROM.
  25. Nichol, J., Wong, M.S., and Shaker, A. 2009. Application of high-resolution satellite images to detailed landslide hazard assessment. 2009 Joint Urban Remote Sensing Event. Shanghai, China, May 20-22, 2009.
  26. Shaker, A., Yan, W.Y., Wong, M.S., El-Ashmawy N., and Alhaddad B.I., 2008. Flood hazard assessment using panchromatic satellite imagery. Proceedings of ISPRS XXI Congress, Beijing, China, on CD ROM.
  27. Shaker, A., 2007. Feature-based transformation models for satellite image orientation and terrain modeling. Proceedings of the Annual Conference of American Society of Photogrammetry and Remote Sensing (ASPRS), Tampa, USA, on CD ROM. [pdf]
  28. Shaker, A., Nichol, J.E., Wong, M.S., 2007. Topographic mapping from small satellites: A case study of CHRIS/PROBA data. High-Resolution Earth Imaging for Geospatial Information, ISPRS Hannover Workshop, Germany, on CD ROM. [pdf]
  29. Shaker, A., 2004. The Line-Based Transformation Model (LBTM): A new approach to the rectification of high-resolution satellite imagery. Proceedings of the XXth Congress of the International Society of Photogrammetry and Remote Sensing (ISPRS), Istanbul, Turkey. Commission III, pp. 850-856. [pdf]
  30. Shaker, A., and Shi, W.Z., 2003. Line-Based Transformation Model (LBTM) for high-resolution satellite imagery rectification. Proceedings of Asian Conference on Remote Sensing (ACRS 2003) and International Symposium on Remote Sensing, Korea, On CD ROM.
  31. Shaker, A., and Shi, W.Z., 2003. Polynomial models as a tool for mapping high resolution satellite imagery. Proceedings of Remote Sensing for Environment Monitoring, GIS Applications, and Geology III, European Remote Sensing Conference, SPIE (The International Society for Optical Engineering), Spain, pp. 224-233
  32. Shaker, A., Shi, W.Z., and Emam, H., 2003. The use of empirical methods in topographic map production of IRS-1D images. Proceedings of the Annual Conference of American Society of Photogrammetry and Remote Sensing (ASPRS), Anchorage, USA, on CD ROM.
  33. Shaker, A., Shi, W.Z., and Elmanadili, Y., 2003. Investigating the accuracy of the automatic classification techniques. Proceedings of the 2nd International symposium on spatial data quality, Hong Kong, pp. 507-515.
  34. Emam, H., Barakat, H., and Shaker, A., 2003. Topographic map production from IRS-1D stereo imagery. Proceedings of the 2nd International symposium on spatial data quality, Hong Kong, pp. 108-114.
  35. Shi, W.Z., Shaker, A., and Zhu, S.L., 2003. High-resolution satellite images and laser scanning technologies for engineering applications. Proceedings of Intelligent Engineering applications of Digital Remote Sensing Technology. April 11th 2003, Hong Kong, pp.1-13.
  36. Shaker, A., Barakat, H. and Shi, W.Z., 2002. Accuracy assessment for different cases of Ikonos imagery using two-dimensional models. Proceedings of the 3rd International symposium for remote sensing of urban areas. Istanbul, Turkey, pp. 139-146.
  37. Shaker, A., and Alnaggar, D., 1999. Assessment of different techniques for SPOT imagery rectification for Egypt. Proceedings of International Conference on Integrated Management of Water Resources in the 21st Century. Cairo, Egypt, On CD ROM.
  38. Nasif, E.N., and Shaker, A., 1999. The Limitations of Remote Sensing in producing medium and large scale maps. Proceedings of International Conference on Integrated Management of Water Resources in the 21st Century. Cairo, Egypt, On CD ROM.
Professional Magazines
  1. Shaker A., Champman, M., El-Rabbany, A., and Li, S. 2010. Geomatics engineering program in Ryerson University: A successful story. Ontario Professional Surveyor Magazine, Fall 2010, Association of Ontario Land Surveyors (AOLS), pp.8-10. (Re-printed in the Saskatchewan Land Surveyors Association (SLSA) Corner Post, Winter 2010). [OPS] [SLSA]
  2. Shaker, A., Shi, W.Z., and Barakat, H., 2002. Precise results by straightforward empirical models: Geo-referencing of Ikonos imagery, GIM International, Vol. 32, No. 11, pp. 54-57.
Patent
  1. Shaker A., and Shi, W.Z. 2010. Three-dimensional affine transformation method and satellite remote sensing image geometric correction method. Chinese Patent CN 101226646 B. (November 2010) [Link]
 
 



All rights are reserved by Dr. Ahmed Shaker AbdElrahman. Email: ahmed.shaker@ryerson.ca
 
Last Update: Jul. 29, 2016