Digital Elevation Model
Digital Elevation Models (DEMs) are representations of Earth's surface topography, crucial for diverse applications ranging from autonomous landing to flood mapping. Current research focuses on improving DEM resolution and accuracy through techniques like adversarial networks, Gaussian process regression, and gradient boosting algorithms, often incorporating multispectral imagery or LiDAR data for enhanced detail and void filling. These advancements are significantly impacting fields like remote sensing, environmental modeling, and autonomous navigation by providing more precise and reliable terrain information.
Papers
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