Vegetation Species classification using Hyperspectal RS
An attempt was made to understand each step of Hyper-spectral Image Processing. The process involved atmospheric correction, Minimum Noise Fraction Transformation, Pixel Purity Index and n-D Visualization. The image was further classified through Spectral Angle Mapper (SAM) and results were Obtained.
