TY - JOUR AU - Helmi Zulhaidi Mohd Shafri AU - Affendi Suhaili AU - Shattri Mansor PY - 2007/06/30 Y2 - 2021/01/28 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 -