TY  - JOUR
AU  - Shafri, Helmi Zulhaidi Mohd 
AU  - Suhaili, Affendi 
AU  - Mansor, Shattri 
PY  - 2007
TI  - The Performance of Maximum Likelihood, Spectral Angle Mapper, Neural Network and Decision Tree Classifiers in Hyperspectral Image Analysis 
JF  - Journal of Computer Science
VL  - 3
IS  - 6
DO  - 10.3844/jcssp.2007.419.423
UR  - https://thescipub.com/abstract/jcssp.2007.419.423
AB  - Several classification algorithms for pattern recognition had been tested in the mapping of tropical forest cover using airborne hyperspectral data. Results from the use of Maximum Likelihood (ML), Spectral Angle Mapper (SAM), Artificial Neural Network (ANN) and Decision Tree (DT) classifiers were compared and evaluated. It was found that ML performed the best followed by ANN, DT and SAM with accuracies of 86%, 84%, 51% and 49% respectively.