FUSING MULTISPECTRAL AND LIDAR DATA FOR CNN-BASED SEMANTIC SEGMENTATION IN SEMI-ARID MEDITERRANEAN ENVIRONMENTS: LAND COVER CLASSIFICATION AND ANALYSIS

Spectral confusion among land cover classes is quite common, let alone in a complex and heterogenous system like the semi-arid Mediterranean environment; thus, employing new developments in remote sensing, such as multispectral imagery (MSI) captured by unmanned aerial vehicles (UAVs) and airborne light detection and ranging (LiDAR) techniques, wit

With the exponential growth of data across diverse fields, applying conventional statistical methods directly to large-scale datasets has become computationally infeasible.To overcome this challenge, subsampling algorithms are widely used to perform statistical analyses on smaller, more manageable subsets of the data.The effectiveness of these meth

For many years, attempts to measure the urban structure Booster Seats and physical form of metropolitan areas have been focused on a limited set of attributes, mostly density and density gradients.However, the complex nature of the urban form requires the consideration of many other dimensions to provide a comprehensive measure that includes all as

Maintaining or introducing genetic diversity into plant breeding programs is necessary for continual genetic gain; however, diversity at the cost of reduced performance is not something sought by breeders.To this end, backcross-nested association mapping (BC-NAM) populations, in which the recurrent parent iPhone Accessory is an elite line, can be e

Fatigue detection based on vision is widely employed in vehicles due to its real-time and reliable detection results.With the coronavirus disease (COVID-19) outbreak, many proposed detection systems based on facial characteristics would be unreliable due Outerwear to the face covering with the mask.In this paper, we propose a robust visual-based fa