By Topic

Preservation of Polarimetric Properties Filtering for TSX Data Based on Barnes Decomposition

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

4 Author(s)
Hong Zhong Li ; Shenzhen Inst. of Adv. Technol., Shenzhen, China ; Jin Song Chen ; Li Ming Jiang ; Lin Liu

A new POLSAR speckle filtering approach is proposed to overcome the disadvantages of SMBF on polarimetric TSX data. Instead of Freeman-Durden decomposition, the new approach applies dichotomy decompositions (Barnes-Holm) to label each pixel by dominant scattering mechanism as single point target scattering or distributed target scattering. Then the unsupervised Wishart classification is applied to determine the adaptive neighborhood. Finally, only the “N-target” component is involved in the filtering step, while the pure single target component is preserved. By experiment on San Francisco multi-look TSX data, it is illustrated that the new method performs better than SMBF in pixel dominant scattering mechanism labeling and preservation of point target polarimetric properties.

Published in:

Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of  (Volume:5 ,  Issue: 6 )