Publisher
Springer Science and Business Media LLC
Reference40 articles.
1. Ye, L.; Wu, B.: Integrated image matching and segmentation for 3D surface reconstruction in urban areas. Photogramm. Eng. Remote Sens. 84, 135–148 (2018). https://doi.org/10.14358/PERS.84.3.135
2. Puliti, S.; Gobakken, T.; Ørka, H.O.; Næsset, E.: Assessing 3D point clouds from aerial photographs for species-specific forest inventories. Scand. J. For. Res. 32(1), 68–79 (2017). https://doi.org/10.1080/02827581.2016.1186727
3. Mehltretter, M.; Heipke, C.: Illumination invariant dense image matching based on sparse features. In: Proceedings of 38. Wissenschaftlich-Technische Jahrestagung der DGPF und PFGK18 Tagung in München., Munich Germany. 584–596 (2018)
4. Tuominen, S.; Näsi, R.; Honkavaara, E.; Balazs, A.; Hakala, T.; Viljanen, N.; Pölönen, I.; Saari, H.; Ojanen, H.: Assessment of classifiers and remote sensing features of hyperspectral imagery and stereo-photogrammetric point clouds for recognition of tree species in a forest area of high species diversity. Remote Sens. 10, 714 (2018). https://doi.org/10.3390/rs10050714
5. Ressl, C.; Brockmann, H.; Mandlburger, G.; Pfeifer, N.: Dense image matching vs. airborne laser scanning–comparison of two methods for deriving terrain models. Photogramm. Fernerkund. Geoinf. 2, 57–73 (2016). https://doi.org/10.1127/pfg/2016/0288
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Accelerated Feature Extraction and Description Algorithm Based on Color Images;Proceedings of the International Conference on Computer Vision and Deep Learning;2024-01-19
2. Explainable Artificial Intelligence for Machine Learning-Based Photogrammetric Point Cloud Classification;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024