Maher Ibrahim Sameen
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View article: A Meta-Learning Approach of Optimisation for Spatial Prediction of Landslides
A Meta-Learning Approach of Optimisation for Spatial Prediction of Landslides Open
Optimisation plays a key role in the application of machine learning in the spatial prediction of landslides. The common practice in optimising landslide prediction models is to search for optimal/suboptimal hyperparameter values in a numb…
View article: Landslide Susceptibility Modeling: An Integrated Novel Method Based on Machine Learning Feature Transformation
Landslide Susceptibility Modeling: An Integrated Novel Method Based on Machine Learning Feature Transformation Open
Landslide susceptibility modeling, an essential approach to mitigate natural disasters, has witnessed considerable improvement following advances in machine learning (ML) techniques. However, in most of the previous studies, the distributi…
View article: Unseen Land Cover Classification from High-Resolution Orthophotos Using Integration of Zero-Shot Learning and Convolutional Neural Networks
Unseen Land Cover Classification from High-Resolution Orthophotos Using Integration of Zero-Shot Learning and Convolutional Neural Networks Open
Zero-shot learning (ZSL) is an approach to classify objects unseen during the training phase and shown to be useful for real-world applications, especially when there is a lack of sufficient training data. Only a limited amount of works ha…
View article: Landslide Detection Using a Saliency Feature Enhancement Technique From LiDAR-Derived DEM and Orthophotos
Landslide Detection Using a Saliency Feature Enhancement Technique From LiDAR-Derived DEM and Orthophotos Open
This study proposes a new landslide detection technique that is semi-automated and based on a saliency enhancement approach. Unlike most of the landslide detection techniques, the approach presented in this paper is simple yet effective an…
View article: Landslide Detection Using Residual Networks and the Fusion of Spectral and Topographic Information
Landslide Detection Using Residual Networks and the Fusion of Spectral and Topographic Information Open
Landslide inventories are in high demand for risk assessment of this natural hazard, particularly in tropical mountainous regions. This research designed residual networks for landslide detection using spectral (RGB bands) and topographic …
View article: Deep Learning Approach for Building Detection Using LiDAR–Orthophoto Fusion
Deep Learning Approach for Building Detection Using LiDAR–Orthophoto Fusion Open
This paper reports on a building detection approach based on deep learning (DL) using the fusion of Light Detection and Ranging (LiDAR) data and orthophotos. The proposed method utilized object-based analysis to create objects, a feature-l…
View article: Classification of Very High Resolution Aerial Photos Using Spectral-Spatial Convolutional Neural Networks
Classification of Very High Resolution Aerial Photos Using Spectral-Spatial Convolutional Neural Networks Open
Classification of aerial photographs relying purely on spectral content is a challenging topic in remote sensing. A convolutional neural network (CNN) was developed to classify aerial photographs into seven land cover classes such as build…
View article: Spatial prediction of rotational landslide using geographically weighted regression, logistic regression, and support vector machine models in Xing Guo area (China)
Spatial prediction of rotational landslide using geographically weighted regression, logistic regression, and support vector machine models in Xing Guo area (China) Open
This study evaluated the geographically weighted regression (GWR) model for landslide susceptibility mapping in Xing Guo County, China. In this study, 16 conditioning factors, such as slope, aspect, altitude, topographic wetness index, str…
View article: MODELLING MEAN ALBEDO OF INDIVIDUAL ROOFS IN COMPLEX URBAN AREASUSING SATELLITE IMAGES AND AIRBORNE LASER SCANNING POINT CLOUDS
MODELLING MEAN ALBEDO OF INDIVIDUAL ROOFS IN COMPLEX URBAN AREASUSING SATELLITE IMAGES AND AIRBORNE LASER SCANNING POINT CLOUDS Open
Knowledge of surface albedo at individual roof scale is important for mitigating urban heat islands and understanding urban climate change. This study presents a method for quantifying surface albedo of individual roofs in a complex urban …
View article: Optimized Neural Architecture for Automatic Landslide Detection from High‐Resolution Airborne Laser Scanning Data
Optimized Neural Architecture for Automatic Landslide Detection from High‐Resolution Airborne Laser Scanning Data Open
An accurate inventory map is a prerequisite for the analysis of landslide susceptibility, hazard, and risk. Field survey, optical remote sensing, and synthetic aperture radar techniques are traditional techniques for landslide detection in…
View article: Severity Prediction of Traffic Accidents with Recurrent Neural Networks
Severity Prediction of Traffic Accidents with Recurrent Neural Networks Open
In this paper, a deep learning model using a Recurrent Neural Network (RNN) was developed and employed to predict the injury severity of traffic accidents based on 1130 accident records that have occurred on the North-South Expressway (NSE…
View article: A Two-Stage Optimization Strategy for Fuzzy Object-Based Analysis Using Airborne LiDAR and High-Resolution Orthophotos for Urban Road Extraction
A Two-Stage Optimization Strategy for Fuzzy Object-Based Analysis Using Airborne LiDAR and High-Resolution Orthophotos for Urban Road Extraction Open
In the last decade, object-based image analysis (OBIA) has been extensively recognized as an effective classification method for very high spatial resolution images or integrated data from different sources. In this study, a two-stage opti…
View article: Assessment of the effects of expressway geometric design features on the frequency of accident crash rates using high-resolution laser scanning data and GIS
Assessment of the effects of expressway geometric design features on the frequency of accident crash rates using high-resolution laser scanning data and GIS Open
Accurate information on accidents and on the relevant factors that affect them is critical for establishing the relationship between accident frequency and explanatory factors. In this study, we present a simplified method to extract road …
View article: A novel built-up spectral index developed by using multiobjective particle-swarm-optimization technique
A novel built-up spectral index developed by using multiobjective particle-swarm-optimization technique Open
In this study, we propose a novel built-up spectral index which was developed by using particle-swarm-optimization (PSO) technique for Worldview-2 images. PSO was used to select the relevant bands from the eight (8) spectral bands of World…