Feature preserving compression of high resolution SAR images

Zhigao Yang; Fuxiang Hu; Tao Sun; Qianqing Qin

doi:10.1117/12.713242

28 October 2006 Feature preserving compression of high resolution SAR images

Zhigao Yang, Fuxiang Hu, Tao Sun, Qianqing Qin

Proceedings Volume 6419, Geoinformatics 2006: Remotely Sensed Data and Information; 64191F (2006) https://doi.org/10.1117/12.713242
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

Abstract

Compression techniques are required to transmit the large amounts of high-resolution synthetic aperture radar (SAR) image data over the available channels. Common Image compression methods may lose detail and weak information in original images, especially at smoothness areas and edges with low contrast. This is known as "smoothing effect". It becomes difficult to extract and recognize some useful image features such as points and lines. We propose a new SAR image compression algorithm that can reduce the "smoothing effect" based on adaptive wavelet packet transform and feature-preserving rate allocation. For the reason that images should be modeled as non-stationary information resources, a SAR image is partitioned to overlapped blocks. Each overlapped block is then transformed by adaptive wavelet packet according to statistical features of different blocks. In quantifying and entropy coding of wavelet coefficients, we integrate feature-preserving technique. Experiments show that quality of our algorithm up to 16:1 compression ratio is improved significantly, and more weak information is reserved.

Citation Download Citation

Zhigao Yang, Fuxiang Hu, Tao Sun, and Qianqing Qin "Feature preserving compression of high resolution SAR images", Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 64191F (28 October 2006); https://doi.org/10.1117/12.713242

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