Geo-registration of aerial images by feature matching

Zheng Wu; Hui Qian; Miaoliang Zhu

doi:10.1117/12.642844

19 January 2006 Geo-registration of aerial images by feature matching

Zheng Wu, Hui Qian, Miaoliang Zhu

Proceedings Volume 6077, Visual Communications and Image Processing 2006; 60771S (2006) https://doi.org/10.1117/12.642844
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

In this paper, we propose a new featured-based geo-registration technique for aerial images that helps nearly real-timely calibrate and update the telemetry data and sensor model on flight. Firstly by using the available telemetry information, we bring both images into a common projection space. Second, we use the distribution of local geometric properties to guess the initial rotation and translation parameters. After the coarse alignment, the Harris operator is adopted to produce the initial feature points set, while the corresponding feature points set in the target image can be established through normalized correlation in local neighborhood of the selected points' position. Finally after the matched feature point sets are well constructed, the transform parameters can be solved by least square error estimation. The experiment shows our algorithm can effectively reduce the error in telemetry data caused by various noises.

Citation Download Citation

Zheng Wu, Hui Qian, and Miaoliang Zhu "Geo-registration of aerial images by feature matching", Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60771S (19 January 2006); https://doi.org/10.1117/12.642844

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

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.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available