A Kernel-Driven BRDF Approach to Correct Airborne Hyperspectral Imagery over Forested Areas with Rugged Topography.
Wen JiaYong PangRiccardo TortiniDaniel SchläpferZengyuan LiJean-Louis RoujeanPublished in: Remote. Sens. (2020)
Keyphrases
- hyperspectral imagery
- hyperspectral
- hyperspectral data
- lidar data
- kernel based nonlinear
- hyperspectral images
- infrared
- remote sensing
- multispectral
- spatial resolution
- target detection
- high dimensional feature space
- kernel function
- kernel methods
- information content
- urban areas
- remote sensing images
- change detection
- image data
- feature selection
- single image
- image analysis
- image retrieval
- support vector