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An investigation into a least squares method for image registration

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Date Issued:
1978
Abstract/Description:
Florida Technological University College of Engineering Thesis; One of the problems associated with the automatic image processing of satellite photographs such as weather maps is the need for image registration; that is, the fitting of a map that has some translational and rotational bias to a known data base. This paper investigates a least square method of image registration using an image that has been converted into a boundary map with a pixel representation 1 for land, -1 for water and zero for cloud pixels. A sampled correlation array is constructed by shifting the weather map to locations on a given grid, centered around a sampled correlation peak, and performing an accumulation of the pixel-by-pixel comparisons between the weather map and its data base over the whole map or a smaller search window. A least square approximation 0 f the translational and rotational bias is performed using the data from this sampled correlation array, fitted against the shape of an elliptical cone.
Title: An investigation into a least squares method for image registration.
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Name(s): Cordon, Ernest William, Author
Patz, B.W., Committee Chair
Engineering, Degree Grantor
Type of Resource: text
Date Issued: 1978
Publisher: Florida Technological University
Language(s): English
Abstract/Description: Florida Technological University College of Engineering Thesis; One of the problems associated with the automatic image processing of satellite photographs such as weather maps is the need for image registration; that is, the fitting of a map that has some translational and rotational bias to a known data base. This paper investigates a least square method of image registration using an image that has been converted into a boundary map with a pixel representation 1 for land, -1 for water and zero for cloud pixels. A sampled correlation array is constructed by shifting the weather map to locations on a given grid, centered around a sampled correlation peak, and performing an accumulation of the pixel-by-pixel comparisons between the weather map and its data base over the whole map or a smaller search window. A least square approximation 0 f the translational and rotational bias is performed using the data from this sampled correlation array, fitted against the shape of an elliptical cone.
Identifier: CFR0003516 (IID), ucf:53005 (fedora)
Note(s): 1978-08-01
M.S.
Engineering
Masters
This record was generated from author submitted information.
Electronically reproduced by the University of Central Florida from a book held in the John C. Hitt Library at the University of Central Florida, Orlando.
Subject(s): Imaging systems in meteorology
Optical data processing
Persistent Link to This Record: http://purl.flvc.org/ucf/fd/CFR0003516
Restrictions on Access: public
Host Institution: UCF

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