Share Email Print

Proceedings Paper

L2-norm optimum interpolator for image reconstruction: applications in remote sensing image magnification
Author(s): Ping Tang; Chongguang Zhu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

For remote sensing imagery, every sensor system has unique system response, namely, point spread function (PSF), or modulation transfer function (MTF), which can be considered as sampling kernel given a prior. Sampling process like this doesn't satisfy Shonnon-Whittaker Representation Theorem's requirements, in such case, exact reconstruction is impossible. We have to look for optimal reconstruction in the sense of mean square, i.e. L 2 -norm. In this paper, we are mainly concerned with the applications of optimal reconstruction theory in remote sensing image processing, our aim is to develop a new resampling method for image magnification.

Paper Details

Date Published: 31 July 2002
PDF: 5 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477127
Show Author Affiliations
Ping Tang, Institute of Remote Sensing Applications (China)
Chongguang Zhu, Institute of Remote Sensing Applications (China)

Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?