Pattern recognition of suspended material

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Abstract
Suspended matter such as sediment and phytoplankton plumes often occur in patterns in satellite imagery caused by the characteristic optical properties of the particles. Using data obtained with Earth Resources Technology Satellite (ERTS-1) in the upwelling area near Cape Blanc (North- West Africa), different techniques were applied to enhance the information obtained by remote sensing of suspended material from spacecraft altitudes. With colour density slicing, visual pattern recognition and multispectral decision classification, it has been shown that the most effective analytical approach for multispectral imagery is the interactive analysis between man and machine. Patterns recognized with the listed techniques demonstrated that many features would not be recognized by simple photographic interpretation.

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