By Topic

MVM based SAR image processing for ship pose estimation

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
$33 $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

3 Author(s)
Chong-wen Duan ; ATR Key Laboratory, National University of Defense Technology, Changsha, 410073, China ; Wei-dong Hu ; Xiao-yong Du

As an essential approach of SAR image interpretation, a good pose estimation calls for two conditions: an accurate extraction of the scattering centers and a thorough exploration of the structural information among them. The article focuses on these two topics successively. Firstly, the power spectrum estimation methods are recommended to improve the scattering center resolution and the Minimum Variance Method (MVM) is chosen for its sidelobe suppressing ability and signal model independence. With the segmented MVM image, the axis extraction problem is then solved by a new strategy, namely the Angle Entropy of Radon transform (AER) strategy. Data from computational electromagnetics are used for experiments. It is shown that the MVM image shows better morphologic feature than the Fourier ones (both original and Hanning-windowed), and the AER strategy achieves more accurate and robust estimation compared with the edge-based Hough transform (HT) technique.

Published in:

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

Date of Conference:

25-30 July 2010