Physical Sciences and Mathematics Commons^™

Temporal Change Enhancement In Multispectral Images Remotely Sensed From Satellites, William P. Pfaff

Utah Space Grant Consortium

The application of principal components analysis to multispectral satellite images is a routine way to present the data in false-color composite images. These composite images include a very high percentage of available information and have no correlation between the displayed colors. The transformation of multispectral image data into its principal components is also an effective way to separate image information from noise. This paper describes a procedure for temporal change enhancement which exploits both the decorrelation and noise isolation properties of the principal components transformation. Using simulated temporal change, this procedure was demonstrated to be more effective than the standard …