PCA on HyperSpectral Data

The Hyperspectral data expands the capability of Image Classification. The Hyperspectral Data not only distinguishes different land cover types but it also provides the detailed characteristics of each land cover such as minerals, soil, man-made structures (buildings, roads, etc.) and vegetation types. While dealing with the HyperSpectral data one disadvantage is that there are too many bands to process. Apart from that, it is a challenge to store such a large amount of data. With a large amount of data, the time complexity also increases.