CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 7498 > Article
Paper
30 October 2009 Structure information preserved optical remote sensing images super-resolution reconstruction with prior model
Tao Sun, Liyu Lin, Feiyan Zhang, Yafei Tu, Qianqing Qin
Author Affiliations +
Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74984E (2009) https://doi.org/10.1117/12.832598
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
The satellite imaging system is affected by optical diffraction limitation, atmosphere disturbance, CCD under-sampling noise and etc. Then the information beyond image system cut-off frequency is lost, images degrade and spatial resolution decrease. Structure information becomes undistinguishable, which is fatal to manual interpretation and adaptive target recognition. In this paper, one structure information preserved scheme is proposed. Taking into account the anisotropic diffuse property of PSF (point spread function) of in-track and cross-track direction, the sparse property of nature image and noise level, with data-driven kernel function sub-pixel estimation, the method restore high spatial resolution image from low one. Joint frequency domain and wavelet domain L1 normal regularization suppress wrinkle and noise amplified for this ill-posed inverse problem. With CBERS-2 images, this method is proved to improve spatial resolution and preserve edge and structure effectively without obverse wrinkle. With MTF curve, the spatial resolution is improved obviously with high PSNR, and the edge is preserved perfectly.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Tao Sun, Liyu Lin, Feiyan Zhang, Yafei Tu, and Qianqing Qin "Structure information preserved optical remote sensing images super-resolution reconstruction with prior model", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74984E (30 October 2009); https://doi.org/10.1117/12.832598
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
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
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 8 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Point spread functions
Super resolution
Remote sensing
Sensors
Satellite imaging
Spatial resolution
Charge-coupled devices
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top