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Proceedings Paper

Processing multichannel radar images by modified vector sigma filter for soil erosion degree determination
Author(s): Andrei A. Kurekin; Vladimir V. Lukin; Alexander A. Zelensky; Oleg V. Tsymbal; Gennady P. Kulemin; Edwin T. Engman
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Paper Abstract

A novel vector filter called modified vector sigma filter is proposed for processing the multichannel remote sensing radar images. It is demonstrated through simulations and real data examples that the proposed filter is able to provide an excellent combination of properties. It possesses efficient suppression of multiplicative noise and good edge preservation. Moreover, it simultaneously ensures an ability to remove spikes from images and excellent preservation of fine details even if they are characterized by rather low contrasts. These features occur to be useful for further interpretation of multichannel radar images, e.g. for determination of bare soil characteristics like erosion state. For simulated images it is shown that the application of the modified vector sigma filter is preferable in respect with its componentwise counterpart as the former technique provides less misclassification errors.

Paper Details

Date Published: 17 December 1999
PDF: 12 pages
Proc. SPIE 3868, Remote Sensing for Earth Science, Ocean, and Sea Ice Applications, (17 December 1999); doi: 10.1117/12.373127
Show Author Affiliations
Andrei A. Kurekin, State Aerospace Univ. (Ukraine)
Vladimir V. Lukin, State Aerospace Univ. (Ukraine)
Alexander A. Zelensky, State Aerospace Univ. (Ukraine)
Oleg V. Tsymbal, State Aerospace Univ. (Ukraine)
Gennady P. Kulemin, Institute of Radiophysics and Electronics (Ukraine)
Edwin T. Engman, NASA Goddard Space Flight Ctr. (United States)


Published in SPIE Proceedings Vol. 3868:
Remote Sensing for Earth Science, Ocean, and Sea Ice Applications
Giovanna Cecchi; Edwin T. Engman; Eugenio Zilioli, Editor(s)

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