Dimensionality Features Extraction Based-on Multi-scale Neighborhood of Multi-samples UAV Point Clouds
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-87007-2_4
Reference22 articles.
1. Weidner, L., Walton, G., Krajnovich, A.: Classifying rock slope materials in photogrammetric point clouds using robust color and geometric features (2021)
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3. Blomley, R., Weinmann, M., Leitloff, J., Jutzi, B.: Shape distribution features for point cloud analysis - a geometric histogram approach on multiple scales. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. II-3, 9–16 (2014)
4. Kim, A., Olsen, R., Kruse, F.: Methods for LiDAR point cloud classification using local neighborhood statistics. SPIE (2013)
5. Mallet, C., Bretar, F., Roux, M., Soergel, U., Heipke, C.: Relevance assessment of full-waveform lidar data for urban area classification. ISPRS J. Photogramm. Remote. Sens. 66, S71–S84 (2011)
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