Destriping of Landsat MSS images by filtering techniques

Photogrammetric Engineering and Remote Sensing
By:  and 


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: 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.

Additional publication details

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
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