Positioning control of UAV is one of the research areas of autonomous navigation. Regional feature matching algorithm
is commonly used in the positioning control of UAVs. This paper proposes a regional feature matching algorithm, in
which edges and gray-levels within image regions are extracted. The correspondences between regional features are then
obtained in terms of invariant moments and chain-code representation of regions. The transformation parameters are
estimated based on the centers of gravity of regions. Experimental results show the effectiveness of the proposed
algorithm using salient regional features.
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.