Keywords
Monte Carlo methods, geophysical signal processing, image enhancement, image reconstruction, image resolution, image sampling, radar imaging, radar resolution, remote sensing by radar, spaceborne radar
Abstract
While high resolution, regularly gridded observations are generally preferred in remote sensing, actual observations are often not evenly sampled and have lower-than-desired resolution. Hence, there is an interest in resolution enhancement and image reconstruction. This paper discusses a general theory and techniques for image reconstruction and creating enhanced resolution images from irregularly sampled data. Using irregular sampling theory, we consider how the frequency content in aperture function-attenuated sidelobes can be recovered from oversampled data using reconstruction techniques, thus taking advantage of the high frequency content of measurements made with nonideal aperture filters. We show that with minor modification, the algebraic reconstruction technique (ART) is functionally equivalent to Grochenig's (1992) irregular sampling reconstruction algorithm. Using simple Monte Carlo simulations, we compare and contrast the performance of additive ART, multiplicative ART, and the scatterometer image reconstruction (SIR) (a derivative of multiplicative ART) algorithms with and without noise. The reconstruction theory and techniques have applications with a variety of sensors and can enable enhanced resolution image production from many nonimaging sensors. The technique is illustrated with ERS-2 and SeaWinds scatterometer data.
Original Publication Citation
Early, D. S., and D. G. Long. "Image Reconstruction and Enhanced Resolution Imaging from Irregular Samples." Geoscience and Remote Sensing, IEEE Transactions on 39.2 (21): 291-32
BYU ScholarsArchive Citation
Long, David G. and Early, David S., "Image reconstruction and enhanced resolution imaging from irregular samples" (2001). Faculty Publications. 581.
https://scholarsarchive.byu.edu/facpub/581
Document Type
Peer-Reviewed Article
Publication Date
2001-02-01
Permanent URL
http://hdl.lib.byu.edu/1877/1063
Publisher
IEEE
Language
English
College
Ira A. Fulton College of Engineering and Technology
Department
Electrical and Computer Engineering
Copyright Status
© 2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Copyright Use Information
http://lib.byu.edu/about/copyright/