Modern Photogrammetric System

Modern photogrammetric systems aim to create accurate 3D models from multiple images, focusing on improving data quality and expanding applications. Current research emphasizes enhancing surface coverage by optimizing camera focus and employing algorithms like Expectation-Maximization to improve point cloud registration. These advancements, including the use of convolutional neural networks for tasks like water surface elevation estimation and semantic segmentation for detailed scene understanding, are improving the accuracy and detail of 3D models for diverse fields such as environmental monitoring, cultural heritage preservation, and urban planning.