By Topic

Land cover classification based on single-polarized VHR SAR images using texture information derived via speckle analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

6 Author(s)
Esch, T. ; German Remote Sensing Data Center (DFD), German Aerosp. Center (DLR), Oberpfaffenhofen, Germany ; Schenk, A. ; Thiel, M. ; Ullmann, T.
more authors

Speckle is a SAR specific noise effect caused by constructive and destructive interference from multiple scattering within the resolution cell of the imaging radar system that superposes the true radiometric and textural information of SAR images as a grainy `salt-and-pepper' pattern. Fully developed speckle basically follows circular Gaussian image statistics. However, this assumption is not applicable for very high resolution SAR systems and for data showing sceneries with a significant amount of directional backscatter - e.g. urban areas. In those cases the multiple scattering processes within a resolution cell show - subject to the true structuring of the imaged area - rather a directional behavior than a random distribution. Consequently, the speckle is no longer fully developed. In our study we demonstrate how information on the local development of speckle can be used to differentiate between basic land cover types such as water, open land - meaning farmland, grassland and bare soil -, woodland and urban area in single-polarized, single-date VHR SAR images. The research is based on the analysis of a TerraSAR-X scene of Munich, Germany.

Published in:

Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International

Date of Conference:

25-30 July 2010