Hyperspectral images show similar statistical properties to natural grayscale or color photographic images. In our project a new novel method has been introduced that is Harmonic Analysis based classification such as HA-PSO-SVM approach. Spatial Spectral Features (SSF) is introduced to extract the feature from hyper-spectral image. Amplitude and phase features has been obtained by derived HA. Then select best feature among extracted feature by Particle Swarm Optimization. Finally, classify the respective band with related cluster which is performed with the help of Support Vector Machine (SVM).
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