KEYWORDS: Modulation transfer functions, Signal to noise ratio, Mathematical modeling, Remote sensing, Image processing, Digital image processing, Electro optical modeling, Digital photography, Distortion, Detection and tracking algorithms
The determination of conjugate points in a stereo image pair, i.e. image matching, is the critical step to realize automatic
surveying and recognition in digital photogrammetric processing. The accuracy of image matching is closely related to
specific matching algorithm as well as images. In this paper, the qualitative and quantitative relationships between the
matching accuracy and the image metrics are studied at the basic of Least Squares Image Matching algorithm (LSIMA).
Firstly, the algorithm is deduced mathematically, and then the main image metrics affecting the matching accuracy are
presented, including total variation (TV) metric and difference of signal-to-noise ratio (DSNR) metric. Subsequently,
variations of matching accuracy with TV and DSNR are analyzed, and mathematical model between them is developed.
Studies show that the matching accuracy presents the natural exponential rule along with TV and DSNR of image pairs.
Besides, parameters of the model are estimated and the model is verified by simulation experiments. Finally, the
correctness of the model is verified using real remote sensing images. Experimental results demonstrate the robustness
and accuracy of the proposed model.
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.