Abstract

One approach for investigating spectral response from materials is to consider spatial features of the response. This might be accomplished by considering the Fourier spectrum of the spatial response. The Fourier Transform may be used in a one-dimensional to multidimensional analysis of more than one channel of data. The two-dimensional transform represents the Fraunhofer diffraction pattern of the image in optics and has certain invariant features. Physically the diffraction pattern contains spatial features which are possibly unique to a given configuration or classification type. Different sampling strategies may be used to either enhance geometrical differences or extract additional features.

Keywords

Fourier transformMultispectral imageSpatial frequencyPattern recognition (psychology)DiffractionArtificial intelligenceFourier analysisFourier domainComputer scienceOpticsInvariant (physics)Spatial analysisDiscrete-time Fourier transformNon-uniform discrete Fourier transformMathematicsShort-time Fourier transformPhysicsMathematical analysisStatistics

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Year
1973
Type
article
Citations
7
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Rainer Hornung, J. A. Smith (1973). Application of Fourier analysis to multispectral/spatial recognition. .