You are here
An investigation into a least squares method for image registration
- 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. |
![]() ![]() |
---|---|---|
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 |