Abstract/Details

A study of the scatterometer image reconstruction algorithm and its applications to polar ice studies


1998 1998

Other formats: Order a copy

Abstract (summary)

A spaceborne microwave scatterometer is designed for the remote sensing of near-surface ocean winds, but rapid repeat coverage and immunity to meteorological effects makes it ideal for studying polar ice as well. Unfortunately, the intrinsic resolution of the scatterometer is insufficient for many geophysical studies.

Using multiple, overlapping passes of the scatterometer, the scatterometer data can be reconstructed into enhanced resolution images with resolutions better than the intrinsic 25-50km instrument resolution. This research establishes a theoretical backdrop for resolution enhancement of scatterometer data using the irregular sampling characteristics of multiple passes of the scatterometer. An optimization of the previously developed SIR algorithm for the ERS-1 scatterometer is presented. Issues of algorithm initialization, cubic estimation and acceleration of the iterative updates are addressed. The work is concluded with an application of the SIR resolution enhancement algorithm to Southern Ocean sea ice, including an examination of azimuthal modulation of backscatter and a simple sea ice classifier.

Indexing (details)


Subject
Electrical engineering;
Remote sensing
Classification
0544: Electrical engineering
0799: Remote sensing
Identifier / keyword
Applied sciences; Image reconstruction; Polar ice; Scatterometer
Title
A study of the scatterometer image reconstruction algorithm and its applications to polar ice studies
Author
Early, David Stoker
Number of pages
236
Publication year
1998
Degree date
1998
School code
0022
Source
DAI-B 59/10, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9780599089228, 0599089229
University/institution
Brigham Young University
University location
United States -- Utah
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
9910818
ProQuest document ID
304417341
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/304417341
Access the complete full text

You can get the full text of this document if it is part of your institution's ProQuest subscription.

Try one of the following:

  • Connect to ProQuest through your library network and search for the document from there.
  • Request the document from your library.
  • Go to the ProQuest login page and enter a ProQuest or My Research username / password.