HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON THE BRIGHTNESS RATIO OF VARIOUS CHANNELS
In this paper, we propose modifications of Spectral Angle Mapper method, which analyse the scatter of pixel values in angular features spaces. The efficiency of these modifications is tested on two different hyperspectral images and compared with the efficiency of some common classification methods by matching the overall accuracies that are achieved by them.