TY  - JOUR
AU  - Helmi Zulhaidi Mohd Shafri
AU  - Affendi  Suhaili
AU  - Shattri  Mansor
PY  - 2007/06/30
Y2  - 2021/04/13
TI  - The Performance of Maximum Likelihood, Spectral Angle Mapper, Neural Network and Decision Tree Classifiers in Hyperspectral Image Analysis 
JF  - Journal of Computer Science
JA  - JCS
VL  - 3
IS  - 6
SE  - Research Article
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. 
ER  -