USE OF FEATURES DERIVED FROM PROPORTIONS OF CLASSES IN A PIXEL FOR THE MULTISPECTRAL CLASSIFICATION OF REMOTE SENSING IMAGES

摘要

An analysis of the use of features derived from class proportions in a pixel for the multispectral classification of reforested areas in Landsat images is performed. Through a Linear Mixing Model, synthetic bands derived from those proportions are obtained either through the Constrained or the Weighted Least Squares Procedures. The method indicates that the synthetic bands offer an alternative to the well known dimensionality reduction techniques such as Principal Components or Canonical Analysis. Furthermore, those bands provide a useful tool for visual interpretation, since they contain information that is related to physical concepts (proportions) more easily assimilated than the class spectral signatures.