FUSION OF HYPERSPECTRAL, MULTISPECTRAL, COLOR AND 3D POINT CLOUD INFORMATION FOR THE SEMANTIC INTERPRETATION OF URBAN ENVIRONMENTS

7 citations as recorded by crossref.

1. Integrating colored LiDAR and YOLO semantic segmentation for design feature extraction in Chinese ancient architecture Y. Li et al. 10.1038/s40494-025-01852-2
2. Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences A. Afifi et al. 10.1109/TGRS.2023.3340293
3. Improving Mineral Classification Using Multimodal Hyperspectral Point Cloud Data and Multi-Stream Neural Network A. Rizaldy et al. 10.3390/rs16132336
4. Point cloud semantic segmentation of grotto scenes using the knowledge-guided deep learning method S. Yang et al. 10.1080/17538947.2024.2385081
5. Glacier Monitoring Based on Multi-Spectral and Multi-Temporal Satellite Data: A Case Study for Classification with Respect to Different Snow and Ice Types J. Florath et al. 10.3390/rs14040845
6. Investigating Prior-Level Fusion Approaches for Enriched Semantic Segmentation of Urban LiDAR Point Clouds Z. Ballouch et al. 10.3390/rs16020329
7. A Prior Level Fusion Approach for the Semantic Segmentation of 3D Point Clouds Using Deep Learning Z. Ballouch et al. 10.3390/rs14143415