To carry out sophisticated image motion compensation, the real-time computing problems of two-dimensional highprecision
motion speed must be solved. The computation is even greater in the processing of large-size satellite remote
sensing images. In order to find out the motion speed of the satellite more accurately and rapidly, a motion estimation
algorithm is present in this paper. The entire pixel motion estimation is completed by line matching method accurately in
the first step. In the following step, a surface fitting method is utilized to obtain the high-precision sub-pixel
displacements. As the time intervals between the two or more images which are taken by the satellite detectors are
known, the real-time motion speed of the satellite could be easily gotten in the end. There are two major contributions in
the paper. Firstly, the line template and line matching are summed up. Therefore, the computations and searches in
correlation matching processing could be reduced greatly while the efficiency is improved. Secondly, by the reasonable
use of the mathematical surface fitting method, high-precision sub-pixel displacements of images could be obtained
successfully. Theory analysis and experiments show that the method is reasonable and efficient.
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.