Mahmoud Salah Mahmoud Goma|Publications

Benha University

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Prof. Mahmoud Salah Mahmoud Goma :: Publications:

Research Fields

Image Processing

Photogrammetry

Remote Sensing

GIS

Number of publications is 34

Title

1-Filtering of remote sensing point clouds using fuzzy C-means clustering

2-Uncertainty management for robust probabilistic change detection from multi-temporal Geoeye-1 imagery

3-Extraction of Road Centrelines and Edge Lines from High-Resolution Satellite Imagery using Density-Oriented Fuzzy C-Means and Mathematical Morphology

4-SRTM DEM correction over dense urban areas using inverse probability weighted interpolation and Sentinel-2 multispectral imagery

5-Pansharpening of Panchromatic Aerial Photographs by Combining Component Substitution and Multiresolution Analysis Fusion Algorithms

6-Performance enhancement of standard fuzzy majority voting-based fusion of probabilistic classifiers

7-Performance enhancement of Rational Function Model (RFM) for improved geo-position accuracy of IKONOS stereo satellite imagery

8-3D model reconstruction from aerial ortho-imagery and LiDAR data

9-Towards a good urban development plan in Sinai through land site suitability maps

Abstract' | Full paper

10-Determination of Shallow Water Depths using Inverse Probability Weighted Interpolation: a hybrid system-based method

11-Fuzzy C-Means-Based Filtering of Airborne Lidar Data: A grid based method

12-Sensitivity of pixel-based classifiers to training sample size in cas of high resolution satellite imagery‏

13-Assessment of Spread Range of Urban Development in the West Delta by Utilizing High Resolution Satellite Imagey

Abstract' | Full paper

14-Mapping from Fused Aerial Images and LIDAR Data Using GA-Based Classification

Abstract' | Full paper

15-Multiple polynomial-based generation of DEM from topographic contour data

Abstract' | Full paper

16-K-Means versus Fuzzy C-Means as objective functions for Genetic Algorithms-Based Classification from Aerial Images and LIDAR Data

17-Combining Pixel-Based and Object-Oriented Support Vector Machines using Bayesian Probability Theory

18-GENETIC ALGORITHMS OPTIMIZATION FOR LANDCOVER CLASSIFICATION FROM HIGH RESOLUTION DIGITAL IMGERY

Abstract' | Full paper

19-ACCURACY ASSESSMENT OF DEM GENERATION USING HIGHRESOLUTION STEREO-OPTICAL SATELLITE IMAGERY

Abstract' | Full paper

20-Rigorous versus Generalized Sensor Models: Assessment of Different Height Sources for Orthorectification of High Resolution Satellite Imagery

Abstract' | Full paper

21-Aerial images and LiDAR data fusion for disaster change detection‏

22-Support Vector Machines: Optimization and validation for land cover mapping using aerial images and lidar data

Abstract' | Full paper

23-Performance evaluation of classification trees for building detection from aerial images and LiDAR data: a comparison of classification trees models‏

24-Airborne LiDAR as a tool for disaster monitoring and management‏

Abstract' | Full paper

25-Accuracy of 3D models derived from aerial laser scanning and aerial ortho-imagery‏

26-Support vector machines based filtering of lidar data: a grid based method‏

Abstract' | Full paper

27-Disaster Change Detection Using Airborne LiDAR

Abstract' | Full paper

28-Integrating multiple classifiers with fuzzy majority voting for improved land cover classification‏

Abstract' | Full paper

29-COMBINING STATISTICAL AND NEURAL CLASSIFIERS USING DEMPSTER-SHAFER THEORY OF EVIDENCE FOR IMPROVED BUILDING DETECTION

Abstract' | Full paper

30-Evaluation of the self‐organizing map classifier for building detection from lidar data and multispectral aerial images‏

Abstract' | Full paper

31-Aerial images and lidar data fusion for automatic feature extraction using the self-organizing map (som) classifier‏

Abstract' | Full paper

32-Fuzzy ARTMAP neural networks for automatic feature extraction from

Abstract' | Full paper

33-Accuracy Assessment of Modern Classification Techniques for Automatic Feature Extraction from Very High Resolution Satellite Imagery

Abstract' | Full paper

34-Application of High-Resolution Satellite Imagery for Large Scale Maps Updating

Abstract' | Full paper

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