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A Survey Of vertex Component Analysis: Hyperspectral Data Unmixing process

Sandeep Rathod, Nitin Gavankar

The hyperspectral images have very huge number of pixels which stores the reflection of the light beam from the surface of materials or objects. Spectral reflectance variations in the reflectivity of earth surface materials across different wavelength spectral bands provide a fundamental mechanism for understanding features in remotely-sensed multispectral or hyperspectral images. Pixel in such images is mixed pixel because of its spatial resolution. A spectral unmixing is performed on mixed pixels, contain a linear mixture of pure reflectance ground surface materials or objects called as endmember weighted by a correspondent abundance fraction. Vertex Component Analysis (VCA) is a well-known endmember extraction method with a benefit of less computational complexity.