Assessment of Regression Models for Predicting Rice Yield and Protein Content Using Unmanned Aerial Vehicle-Based Multispectral Imagery.
Ye Seong KangJinwoo NamYounggwang KimSeongtae LeeDeokgyeong SeongSi Hyeong JangChan Seok RyuPublished in: Remote. Sens. (2021)
Keyphrases
- multispectral
- regression model
- unmanned aerial vehicles
- image data
- remote sensing data
- remote sensing
- remote sensing images
- digital elevation models
- satellite images
- image analysis
- model selection
- multi band
- hyperspectral data
- spatial resolution
- multispectral images
- satellite imagery
- regression methods
- hyperspectral
- regression analysis
- multispectral satellite images
- high resolution
- hyperspectral imagery
- linear model
- multivariate regression
- regression trees
- spectral characteristics
- multispectral imaging
- computer vision
- mass spectrometry
- hyperspectral images
- spectral images
- artificial intelligence
- target variable
- image processing
- machine learning
- spectral bands
- visible spectrum
- explanatory variables
- multiple linear regression
- color images