A Comprehensive Comparison of Machine Learning and Feature Selection Methods for Maize Biomass Estimation Using Sentinel-1 SAR, Sentinel-2 Vegetation Indices, and Biophysical Variables.
Chi XuYanling DingXingming ZhengYeqiao WangRui ZhangHongyan ZhangZewen DaiQiaoyun XiePublished in: Remote. Sens. (2022)
Keyphrases
- machine learning
- parameter estimation
- continuous valued
- pattern recognition
- remote sensing
- learning algorithm
- environmental variables
- synthetic aperture radar
- computer vision
- model selection
- support vector machine
- machine learning methods
- feature selection
- signal subspace
- supervised learning
- knowledge acquisition
- information extraction
- statistical methods
- sar images
- reinforcement learning