A Novel Machine Learning Approach to Estimate Grapevine Leaf Nitrogen Concentration Using Aerial Multispectral Imagery.
Ali MoghimiAlireza PourrezaGerman Zuniga-RamirezLarry E. WilliamsMatthew W. FidelibusPublished in: Remote. Sens. (2020)
Keyphrases
- multispectral
- satellite images
- machine learning
- digital elevation models
- image data
- remote sensing data
- satellite imagery
- remote sensing
- remote sensing images
- remotely sensed
- spatial resolution
- multispectral images
- hyperspectral
- hyperspectral data
- image analysis
- aerial imagery
- land cover
- computer vision
- multi band
- hyperspectral imagery
- multispectral satellite images
- lidar data
- high resolution
- change detection
- land cover classification
- aerial video
- urban areas
- high spatial resolution
- image segmentation
- satellite data
- pattern recognition
- feature selection
- spectral bands
- high quality
- visible spectrum
- spectral characteristics
- multispectral imaging
- neural network