Spectral analysis and filtering techniques in digital spatial data processing
Photogrammetric Engineering and Remote Sensing
By: Jeng-Jong Pan
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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
Suggested Citation
Pan, J., 1989, Spectral analysis and filtering techniques in digital spatial data processing: Photogrammetric Engineering and Remote Sensing, v. 55, no. 7, p. 1203-1207.
| 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 |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 5 p. |
| First page | 1203 |
| Last page | 1207 |