Coherence estimation method and its application to phase unwrapping

Sihua Fu; Xuejun Long; Xia Yang

doi:10.1117/1.3328871

1 February 2010 Coherence estimation method and its application to phase unwrapping

Sihua Fu, Xuejun Long, Xia Yang

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 4, Issue 1, 043505 (February 2010). https://doi.org/10.1117/1.3328871

Abstract

Coherence of interferometric synthetic aperture radar (InSAR) complex image pair is a fundamental observable in interferometric radar measurements, which is usually measured by comparing the radar return across several nearby radar image pixels and has found diverse applications. This paper proposes a coherence estimation method which requires three arbitrary parts of the two complex images to implement interference. The proposed method can also be used to co-register InSAR image pair, which means that the imaginary part of the master image can be left away. In addition, an improved quality-guided phase unwrapping method is forwarded with the quality map generated by the coherence estimation method we have recommended above. A look-up table is adopted to reduce the processing time. The experimental results show that both methods are effective and greatly reduce the phase unwrapping time compared with the existing quality-guided methods.

Citation Download Citation

Sihua Fu, Xuejun Long, and Xia Yang "Coherence estimation method and its application to phase unwrapping," Journal of Applied Remote Sensing 4(1), 043505 (1 February 2010). https://doi.org/10.1117/1.3328871

Published: 1 February 2010

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