Processing multichannel radar images by modified vector sigma filter for soil erosion degree determination

Andrei A. Kurekin; Vladimir V. Lukin; Alexander A. Zelensky; Oleg V. Tsymbal; Gennady P. Kulemin; Edwin T. Engman

doi:10.1117/12.373127

17 December 1999 Processing multichannel radar images by modified vector sigma filter for soil erosion degree determination

Andrei A. Kurekin, Vladimir V. Lukin, Alexander A. Zelensky, Oleg V. Tsymbal, Gennady P. Kulemin, Edwin T. Engman

Author Affiliations +

Proceedings Volume 3868, Remote Sensing for Earth Science, Ocean, and Sea Ice Applications; (1999) https://doi.org/10.1117/12.373127
Event: Remote Sensing, 1999, Florence, Italy

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.

Citation Download Citation

Andrei A. Kurekin, Vladimir V. Lukin, Alexander A. Zelensky, Oleg V. Tsymbal, Gennady P. Kulemin, and Edwin T. Engman "Processing multichannel radar images by modified vector sigma filter for soil erosion degree determination", Proc. SPIE 3868, Remote Sensing for Earth Science, Ocean, and Sea Ice Applications, (17 December 1999); https://doi.org/10.1117/12.373127

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available