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インサイト - Geospatial Analysis
Spatially Constrained Bayesian Network (SCB-Net) for Accurate and Uncertainty-Aware Lithological Mapping
The Spatially Constrained Bayesian Network (SCB-Net) is a deep learning approach that generates accurate lithological predictions while quantifying uncertainty, by effectively integrating auxiliary data and sparse field observations.
Comparing Roughness Descriptors for LiDAR-derived DEMs
The study compares five roughness descriptors for LiDAR-derived digital elevation models, highlighting the importance of multiple descriptors in characterizing terrain surface roughness.
GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations
The author presents a parallel implementation of the Vecchia approximation technique, utilizing batched matrix computations on contemporary GPUs to speed up evaluating the log-likelihood function.
