[HTML][HTML] A systematic review of data fusion techniques for optimized structural health monitoring
Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
Landslide4sense: Reference benchmark data and deep learning models for landslide detection
O Ghorbanzadeh, Y Xu, P Ghamisi, M Kopp… - ar** from high spatial resolution images is important in many
practical applications, such as emergency response. Numerous studies and methods have …
practical applications, such as emergency response. Numerous studies and methods have …
Landslide detection using multi-scale image segmentation and different machine learning models in the higher himalayas
Landslides represent a severe hazard in many areas of the world. Accurate landslide maps
are needed to document the occurrence and extent of landslides and to investigate their …
are needed to document the occurrence and extent of landslides and to investigate their …
Landslide detection using residual networks and the fusion of spectral and topographic information
Landslide inventories are in high demand for risk assessment of this natural hazard,
particularly in tropical mountainous regions. This research designed residual networks for …
particularly in tropical mountainous regions. This research designed residual networks for …
GIS-based landslide susceptibility map** using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression …
In this study, a novel approach of the landslide numerical risk factor (LNRF) bivariate model
was used in ensemble with linear multivariate regression (LMR) and boosted regression …
was used in ensemble with linear multivariate regression (LMR) and boosted regression …
Landslide map** from aerial photographs using change detection-based Markov random field
Landslide map** (LM) is essential for hazard prevention, mitigation, and vulnerability
assessment. Despite the great efforts over the past few years, there is room for improvement …
assessment. Despite the great efforts over the past few years, there is room for improvement …