Destriping of Landsat MSS images by filtering techniques
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Abstract
: The removal of striping noise encountered in the Landsat Multispectral Scanner (MSS) images can be generally done by using frequency filtering techniques. Frequency do~ain filteri~g has, how~ver, se,:era~ prob~ems~ such as storage limitation of data required for fast Fourier transforms, nngmg artl~acts appe~nng at hlgh-mt,enslty.dlscontinuities, and edge effects between adjacent filtered data sets. One way for clrcu~,,:entmg the above difficulties IS, to design a spatial filter to convolve with the images. Because it is known that the,stnpmg a.lways appears at frequencies of 1/6, 1/3, and 1/2 cycles per line, it is possible to design a simple one-dimensIOnal spat~a~ fll,ter to take advantage of this a priori knowledge to cope with the above problems. The desired filter is the type of ~mlte Impuls~ response which can be designed by a linear programming and Remez's exchange algorithm coupled ~lth an adaptIve tec,hmque. In addition, a four-step spatial filtering technique with an appropriate adaptive approach IS also presented which may be particularly useful for geometrically rectified MSS images.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Destriping of Landsat MSS images by filtering techniques |
| Series title | Photogrammetric Engineering and Remote Sensing |
| Volume | 58 |
| Issue | 10 |
| Year Published | 1992 |
| Language | English |
| Publisher | ASPRS |
| Contributing office(s) | Earth Resources Observation and Science (EROS) Center |
| Description | 7 p. |
| First page | 1417 |
| Last page | 1423 |
| Google Analytic Metrics | Metrics page |