Corn Yield Prediction based on Remotely Sensed Variables Using Variational Autoencoder and Multiple Instance Regression.
Zeyu CaoYuchi MaZhou ZhangPublished in: CoRR (2022)
Keyphrases
- multiple instance
- remotely sensed
- regression problems
- multiple instance learning
- change detection
- remote sensing
- remotely sensed images
- multispectral
- real valued
- learning problems
- concept learning
- infrared
- satellite images
- linear regression
- genetic programming
- regression model
- hyperspectral
- semi supervised learning
- land cover
- hyperspectral images
- synthetic aperture radar
- multi class
- cross validation
- gaussian processes
- image segmentation
- optical flow
- machine learning
- sar images
- data sets
- machine learning algorithms
- model selection
- computer vision
- graph cuts
- learning algorithm