Keywords

Imaging systems in meteorology, Optical data processing, Real-time correlation algorithm, Binary map compression and matching, GOES digitally processed imagery, Dedicated correlator hardware implementation, Template-matching for satellite image registration

Abstract

The requirement for a fast automated correlation algorithm for registration of satellite images is discussed. An overview of current registration techniques is presented indicating a correlator, matching binary maps compressed from the original imagery, may provide the required throughput when implemented with a dedicated hardware/processor. An actual registration problem utilizing GOES digitally processed imagery is chosen and defined. The realization of a fast correlator, matching image input data with sampled data base reference image data in real time is considered.

Graduation Date

1978

Degree

Master of Science (M.S.)

College

College of Engineering

Degree Program

Engineering

Format

PDF

Pages

56 pages

Language

English

Rights

Written permission granted by copyright holder to the University of Central Florida Libraries to digitize and distribute for nonprofit, educational purposes.

Length of Campus-only Access

None

Access Status

Masters Thesis (Open Access)

Identifier

DP0003495

Subjects

Imaging systems in meteorology; Optical data processing; Image registration; Digital image correlation; Correlators--Design and construction; Artificial satellites in remote sensing--Data processing; Image processing--Digital techniques--Computer programs

Collection (Linked data)

Retrospective Theses and Dissertations

Accessibility Status

Searchable text

Included in

Engineering Commons

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Accessibility Statement

This item was created or digitized prior to April 24, 2026, or is a reproduction of legacy media created before that date. It is preserved in its original, unmodified state specifically for research, reference, or historical recordkeeping. In accordance with the ADA Title II Final Rule, the University Libraries provides accessible versions of archival materials upon request. To request an accommodation for this item, please submit an accessibility request form.