The proposed BRF-GS, a 3DGS-based framework for BRF modeling and hyperspectral reflectance image generation in remote sensing scenes, achieves superior spatial and spectral fidelity and accurately reproduces characteristic view-dependent BRF responses.
Yi-Ling Yao, Wen-Juan Zhang, Bowen Wang et al.· 0 citations
Joint classification of multimodal remote sensing data, such as hyperspectral image (HSI) and light detection and ranging (LiDAR), is important for Earth observation. Early deep learning-based methods usually adopt a single network to extract the features of HSI and LiDAR (HSI-LiDAR) data, respectively. However, this k...
Bin Zhao, Wen-Jie Cao, Lin Han et al.· IEEE Transactions on Geoscie...· 1 citation
Large-scale 3D surface reconstruction from aerial imagery is fundamental to geospatial mapping and urban modeling. Recent advances in 3D Gaussian Splatting (3DGS) have demonstrated considerable potential for this task. However, existing methods still face three major challenges in large and complex scenes: scene partit...
Bo-Cheng Li, Wen-Juan Zhang, Jie-Pan-Dong-Xu Han et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.