Optimised RANSAC for UAV-Derived Point Clouds
Enhancing Photogrammetric Accuracy: ELISAC Improves Inlier Detection by Up to 57%, Reduces Computation Times, and Yields More Detailed DSMs from UAV Imagery in Forested Environments, Overcoming Spectral and Textural Similarities That Challenge Conventional Algorithms, Essential for Precise 3D Modeling Applications. Outlier Challenges in UAV Image Matching: Issues and Significance Matching corresponding points across overlapping images […]
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