Feature vectors and feature space

Individual bands of multi-spectral remote sensing data are referred to as features in the field of pattern recognition. We may then define a feature vector as the n-dimensional vector associated with the brightness values in n multi- spectral bands for a pixel. The vector space associated with these vectors is often called the feature space or spectral space. Statistical data reduction techniques, such as Principal Component Analysis can be used to reduce the dimensionality of feature space.

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