High-Resolution Airborne Hyperspectral Imagery for Assessing Yield, Biomass, Grain N Concentration, and N Output in Spring Wheat.
María D. Raya-SerenoJ. Ivan Ortiz-MonasterioMaría Alonso-AyusoFrancelino A. Rodrigues Jr.Arlet A. RodríguezLorena González PérezMiguel QuemadaPublished in: Remote. Sens. (2021)
Keyphrases
- hyperspectral imagery
- lidar data
- remote sensing
- hyperspectral
- high resolution
- hyperspectral data
- spatial resolution
- multispectral
- hyperspectral images
- fermentation process
- infrared
- satellite images
- target detection
- spectral bands
- change detection
- high frequency
- remote sensing images
- image analysis
- image processing
- image data
- multi band
- high quality
- super resolution
- information content
- spectral signatures
- neural network
- denoising
- computer vision