Refernces
- Benoit Rivard, Paul J.Thomas, & Jean Giroux. (1995) Precise emissivity of rock samples. Remote Sensing of Environment, 54, 152-160.
- Breiman,L. (2001) Random forest, Machine Learning, 45, 5-32
- Derek Rogge, Benoit Rivard, Karl Segl, Brian Grant, & Jilu Feng. (2014) Mapping of NiCu-PGE ore hosting ultramafic rocks using airborne and simulated EnMAP hyperspectral imagery, Nunavik, Canada. Remote Sensing of Environment, 152, 302-317.
- Elfatih M. Abdel-Rahman, Fethi B. Ahmed, & Riyad Ismail. (2013) Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data. International Journal of Remote Sensing, 34, 712-728.
- Elkebir Sarhrouni, Ahmed Hammouch, & Driss Aboutajdine. (2012) Band Selection and Classification of Hyperspectral Images using Mutual Information: an algorithm based on minimizing the error probability using the inequality of Fano.
- Freek van der Meer. (2006) Indicator Kirging applied to absorption band analysis in hyperspectral imagery: A case study from the Rodalquilar epithermal gold mining area, SE Spain. International Journal of Applied Earth Observation, 8, 61-72.
- Jie Feng, L. C. Jiao, Xiangrong Zhang, & Tao Sun. (2014) Hyperspectral Band Selection Based on Trivariate Mutual Information and Clonal Selection. Transactions on Geoscience and Remote Sensing, 52, 4092-4015.
- Minghua, Tian. (2014). N-dimensional Solid Spectral Angle-Based Band Selection for Hyperspectral Images Unmixing.
- Ramon Diaz-Uriarte, & Sara Alvarez de Andres. (2005) Variable selection from random forests: application to gene expression data.
- Robin Genuer, Jean-Michel Poggi, & Christine Tuleau-Malot. (2010) Variable selection using Random Forests. Pattern Recognition Letters, 31, 2225-2236.
- Tiejun Cheng, Yanli Wang, & Stephen H. Bryant. (2012) FSelector: a Ruby gem for feature selection. Bioinformatics Applications Note, 28, 2851-2852.
Note: Some images in this project are cited from the publications above and others for interpreting concepts are from google website.