Random Forest Outperformed Convolutional Neural Networks for Shrub Willow Above Ground Biomass Estimation Using Multi-Spectral UAS Imagery.
Haifa TamiminiaBahram SalehiMasoud MahdianPariColin M. BeierDaniel J. KlimkowskiTimothy A. VolkPublished in: IGARSS (2021)
Keyphrases
- random forest
- multispectral
- convolutional neural networks
- image data
- remote sensing data
- remote sensing
- random forests
- remote sensing images
- decision trees
- feature set
- satellite images
- multi spectral images
- hyperspectral
- multi band
- image analysis
- convolutional network
- ensemble methods
- decision tree learning algorithms
- high resolution
- change detection
- image processing
- multi label
- ensemble classifier
- land cover
- computer vision
- data sets
- infrared
- naive bayes
- pairwise
- learning algorithm