Fusion of hyperspectral and lidar data based on dimension reduction and maximum likelihood

6 citations as recorded by crossref.

1. Text Semantic Guided Spatial–Frequency Fusion Network for HSI–LiDAR Land-Cover Classification A. Wang et al. https://doi.org/10.3390/rs18121957
2. A Survey of Sampling Methods for Hyperspectral Remote Sensing: Addressing Bias Induced by Random Sampling K. Decker & B. Borghetti https://doi.org/10.3390/rs17081373
3. A comprehensive review of hyperspectral data fusion with lidar and sar data S. Kahraman & R. Bacher https://doi.org/10.1016/j.arcontrol.2021.03.003
4. Integrating advanced remote sensing technologies and machine learning in urban forestry: a comprehensive review and future outlook M. Zeybek https://doi.org/10.1088/1361-6501/addf66
5. Classification of complex environments using pixel level fusion of satellite data A. Vibhute et al. https://doi.org/10.1007/s11042-020-08978-4
6. Object-based fusion for urban tree species classification from hyperspectral, panchromatic and nDSM data J. Aval et al. https://doi.org/10.1080/01431161.2019.1579937