Open water SAR images frequently exhibit long dark or bright linear features, some of which are ship wakes, internal wave
or internal wave wakes of under water moving objects. The detection of these line features is very impotent in both civil
and military fields. Considering to the drawbacks of conventional Radon transform, this paper proposed a novel liner
feature detection method. It use the gliding window and firstly apply a Radon transform to the aim image, use a "mean
matrix" to normalize the aim image in the Radon domain, and then search for the peaks or troughs in an ellipse region
instead of the whole region. This algorithm is tested on a set of simulated SAR images of ship wakes. The results
demonstrate that this algorithm's robustness in the presence of noise, as well as its ability to detect and localize linear
features that are somewhat not so straight.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.