Adaboost-NWFE Classification Scheme for Hyperspectral Image

AdaBoost algorithm is one of the very successful classifier combining methods in recent years. To imply the AdaBoost method for hyperspectral image classification problem, especially when the sample size is limited (small), a proper feature extraction method might be very helpful for increasing the accuracy rate. In this research, a scheme is proposed to properly joint the nonparametric weighted feature extraction (NWFE) with the AdaBoost algorithm. The performance of the proposed scheme is evaluated via the real spectral image, Washington DC Mall. Results showed that the proposed method do reduce the classification error rate.