Evaluation of the self‐organizing map classifier for building detection from lidar data and multispectral aerial images‏ Aerial images and LiDAR data fusion for disaster change detection‏ Integrating multiple classifiers with fuzzy majority voting for improved land cover classification‏ Aerial images and lidar data fusion for automatic feature extraction using the self-organizing map (som) classifier‏ Support Vector Machines: Optimization and validation for land cover mapping using aerial images and lidar data Performance evaluation of classification trees for building detection from aerial images and LiDAR data: a comparison of classification trees models‏ Airborne LiDAR as a tool for disaster monitoring and management‏ Accuracy of 3D models derived from aerial laser scanning and aerial ortho-imagery‏ Support vector machines based filtering of lidar data: a grid based method‏ Fuzzy ARTMAP neural networks for automatic feature extraction from Sensitivity of pixel-based classifiers to training sample size in cas of high resolution satellite imagery‏ Combining Pixel-Based and Object-Oriented Support Vector Machines using Bayesian Probability Theory Assessment of Spread Range of Urban Development in the West Delta by Utilizing High Resolution Satellite Imagey Mapping from Fused Aerial Images and LIDAR Data Using GA-Based Classification Multiple polynomial-based generation of DEM from topographic contour data Towards a good urban development plan in Sinai through land site suitability maps COMBINING STATISTICAL AND NEURAL CLASSIFIERS USING DEMPSTER-SHAFER THEORY OF EVIDENCE FOR IMPROVED BUILDING DETECTION ACCURACY ASSESSMENT OF DEM GENERATION USING HIGHRESOLUTION STEREO-OPTICAL SATELLITE IMAGERY GENETIC ALGORITHMS OPTIMIZATION FOR LANDCOVER CLASSIFICATION FROM HIGH RESOLUTION DIGITAL IMGERY Accuracy Assessment of Modern Classification Techniques for Automatic Feature Extraction from Very High Resolution Satellite Imagery Application of High-Resolution Satellite Imagery for Large Scale Maps Updating Determination of Shallow Water Depths using Inverse Probability Weighted Interpolation: a hybrid system-based method Fuzzy C-Means-Based Filtering of Airborne Lidar Data: A grid based method Rigorous versus Generalized Sensor Models: Assessment of Different Height Sources for Orthorectification of High Resolution Satellite Imagery Disaster Change Detection Using Airborne LiDAR K-Means versus Fuzzy C-Means as objective functions for Genetic Algorithms-Based Classification from Aerial Images and LIDAR Data 3D model reconstruction from aerial ortho-imagery and LiDAR data Performance enhancement of Rational Function Model (RFM) for improved geo-position accuracy of IKONOS stereo satellite imagery Performance enhancement of standard fuzzy majority voting-based fusion of probabilistic classifiers Filtering of remote sensing point clouds using fuzzy C-means clustering Uncertainty management for robust probabilistic change detection from multi-temporal Geoeye-1 imagery SRTM DEM correction over dense urban areas using inverse probability weighted interpolation and Sentinel-2 multispectral imagery Pansharpening of Panchromatic Aerial Photographs by Combining Component Substitution and Multiresolution Analysis Fusion Algorithms Extraction of Road Centrelines and Edge Lines from High-Resolution Satellite Imagery using Density-Oriented Fuzzy C-Means and Mathematical Morphology