Dr. Bassam Abdellatif

Summary :

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+20 1008 223 225

Research Area :

Preprocessing and processing of satellite images for extracting valuable information, Machine learning and deep learning. Use of remote sensing data to enhance water resources management. Analysis of water consumption and storage patterns. Enhancement of crop types classification in Egypt.

Education :

 2008, Ph.D. Signal and Telecommunications:
  •  In research project: Change monitoring for soil occupation of anthropogenic and climatic origin by means of remote sensing tools: application to Brittany, University of Rennes 2, France.
 2004, M.Sc. Signal – Telecommunications – Image – Radar (Image Option), Telecom-Bretagne, Brest, France
 1997, B. Sc. Of Engineering (computer architecture and Control)

Professional Experience :

  • Remote sensing image processing
 Radiometric calibration and correction,
 Geometric correction and image to image referencing,
 Classification and segmentation optimization: object-based, pixel based and sub-pixel classification,
 Hyperspectral image processing: extracting of relevant signatures, unmixing algorithms, object identification.
 Image enhancement and reconstruction: reconstruction of cloud contaminated images.
 Model building and enhancement.
 Systems and platforms installation and operation: NASA-LIS for earth surface parameters, ETWatch for evapotranspiration calculation, GRACE Ground water monitoring.
  • Geographic Information System; ArcGIS, operation and administration

 Lidar Image processing
 Cloud preprocessing and filtration
 Cloud registration
 Cloud to cloud change monitoring
 Volume and area estimation


Publications :

 Book Chapters:
[1] Bassam Abdel Latif and Gregoire Mercier (2010). Self-Organizing Maps for Processing of Data with Missing Values and Outliers: Application to Remote Sensing Images, Self-Organizing Maps, George K Matsopoulos (Ed.), ISBN: 978-953-307-074-2, InTech.
[2] Noureldin Laban, Bassam Abdellatif, Hala M Ebeid, Howida A Shedeed, Mohamed F Tolba, Machine Learning for Enhancement Land Cover and Crop Types Classification, Machine Learning Paradigms: Theory and Application, Springer, Cham
[3] Mohamed El-Sharkawi, Nagy Shawky Botros, Ahmed A. Madani, Mohamed Ahmed, Bassam Abdellatif, Yasser M. Abd El-Rahman, Sultan Awad Sultan Araffa, History of the Geological Research in Egypt, The Geology of Egypt pp 1-35, Online ISBN978-3-030-15265-9, Springer Cham, Sep. 2019.
 Papers in International journals:
[1] B. Abdel Latif, R. Lecerf, G. Mercier and L. Hubertmoy, Preprocessing of Low-Resolution Time Series Contaminated by Clouds and Shadows, IEEE Transactions on Geoscience and Remote Sensing, vol. 46, NO. 7 july 2008.
[2] H.Farouk and B.M.Abdel Latif, Classification Based Approach for Spectral Signature of Remotely Sensed Temporal Data, IJCSNS, VOL.13 No.11, November 2013
[3] Bassam Abdellatif, Ayman H. Nasr, Safaa M. Sayed, Detection of Ground Hazards of El Mokattam Plateau, East Cairo (Egypt), using Terrestrial Laser Scanning, International Journal of Computer and Information Technology (ISSN: 2279 – 0764) Volume 05 – Issue 03, May 2016.
[4] Mohammed A. El-Shirbeny, Bassam Abdellatif, Abd-Elraouf M. Ali, Nasser H. Saleh1, Evaluation of Hargreaves based on remote sensing method to estimate potential crop evapotranspiration, International Journal of GEOMATE, Vol. 11, Issue 23, pp. 2143-2149, July, 2016
[5] Mohammed A El-Shirbeny, Bassam Abdellatif, Reference Evapotranspiration Borders Maps of Egypt Based on Kriging Spatial Statistics Method, International Journal of Geomate, V13, pp 1-8, September 2017.
[6] Ihab Samir, Bassam Abdellatif, Amr Badr, New Divide and Conquer Method on Endmember Extraction Techniques, International Journal of Advanced Computer Science and Applications, V8, Issue 7, July, 2017, pp 94-100.
[7] Maha Elbana, Khaled Refaie, Mohamed Ahmed Elshirbeny, Mohamed AbdelRahman Elsayed AbdelRahman, Bassam Abdellatif, Reda Elgendy,Wael Attia, Indirect estimation of deep percolation using soil water balance equation and NASA Land Simulation Model (LIS) for more sustainable water management, EJSS, article in press, available on line since Oct. 3rd , 2019
 Papers in international conference:
[1] B. Abdel Latif and G. Mercier, Self-Organizing Map for erroneous data processing in time series analysis, IEEE IGARSS, Denever, Colorado, USA, 2006, pp. 196 199.
[2] B. Abdel Latif, R. Lcerf, G. Mercier and B. Solaiman, Self-Organizing Map for surface characterization in time series, IEEE IGARSS, Barcelona, Spain, july 2007, pp. 38473850.
[3] R. Lecerf, L. Hubert-Moy, F. Baret, B. Abdel Latif, T. Corpetti and H. Nicolas, Estimating Biophysical Variables at 250m With Reconstructed EOS/MODIS Time Series to Monitor Fragmented Landscapes, IEEE IGARSS, Boston, Massachusetts, U.S.A., 2008.
[4] G. Mercier and B. Abdel Latif, Implementing Kohonen's SOM With Missing Data In OTB, IEEE IGARSS, Cape Town, South Africa, 2009.
[5] B. Abdellatif, A. O. Boudraa, C. Osswald and J.M. Boucher, Comparison and improvement of Dempster-Shafer models, 7th Int. Symp. On Intelligent Signal Processing (WISP), Floriana 2011.
[6] Noureldin Laban, Bassam Abdellatif, Hala M Ebied, Howida A Shedeed, Mohamed F Tolba, Performance Enhancement of Satellite Image Classification Using a Convolutional Neural Network, International Conference on Advanced Intelligent Systems and Informatics, Springer, Cham, September 2017.
[7] Noureldin Laban, Bassam Abdellatif, Hala M Ebeid, Howida A Shedeed, Mohamed F Tolba, Improving Land-Cover and Crop-Types Classification of Sentinel-2 Satellite Images, International Conference on Advanced Machine Learning Technologies and Applications, Springer, Cham, Feb. 2018.
[8] Noureldin Laban, Bassam Abdellatif, Hala M. Ebeid, Howida A. Shedeed, Mohamed F. Tolba, Reduced 3-D Deep Learning Framework for Hyperspectral Image Classification, The International conference on Advanced Machine Learning Technology and Applications. March, 2019.
[9] Noureldin Laban, Bassam Abdellatif, Hala M. Ebeid, Howida A. Shedeed, Mohamed F. Tolba, Seasonal Multi-temporal Pixel Based Crop Types and Land Cover Classification for Satellite Images using Convolutional Neural Networks, 13th International Conference on Computer Engineering and Systems (ICCES). December, 2018