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Spectral analysis and filtering techniques in digital spatial data processing

Photogrammetric Engineering and Remote Sensing

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Abstract

A filter toolbox has been developed at the EROS Data Center, US Geological Survey, for retrieving or removing specified frequency information from two-dimensional digital spatial data. This filter toolbox provides capabilities to compute the power spectrum of a given data and to design various filters in the frequency domain. Three types of filters are available in the toolbox: point filter, line filter, and area filter. Both the point and line filters employ Gaussian-type notch filters, and the area filter includes the capabilities to perform high-pass, band-pass, low-pass, and wedge filtering techniques. These filters are applied for analyzing satellite multispectral scanner data, airborne visible and infrared imaging spectrometer (AVIRIS) data, gravity data, and the digital elevation models (DEM) data. -from Author

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Spectral analysis and filtering techniques in digital spatial data processing
Series title:
Photogrammetric Engineering and Remote Sensing
Volume
55
Issue:
7
Year Published:
1989
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Photogrammetric Engineering and Remote Sensing
First page:
1203
Last page:
1207