Automated satellite image navigation
This study investigated the automated satellite image navigation method (Auto-Avian) developed and tested by Spaulding (1990) at the Naval Postgraduate School. The Auto-Avian method replaced the manual procedure of selecting Ground Control Points (GCPs) with an autocorrelation process that utilizes...
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Monterey, California. Naval Postgraduate School
1992
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ftnavalpschool:oai:calhoun.nps.edu:10945/23552 2024-06-09T07:48:13+00:00 Automated satellite image navigation Bassett, Robert M. Wash, Carlyle H. Naval Postgraduate School Meteorology Durkee, Philip A. 1992-12 76 p. application/pdf https://hdl.handle.net/10945/23552 en_US eng Monterey, California. Naval Postgraduate School https://hdl.handle.net/10945/23552 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. Image navigation Binary correlation Automated landmarking Thesis 1992 ftnavalpschool 2024-05-15T00:26:04Z This study investigated the automated satellite image navigation method (Auto-Avian) developed and tested by Spaulding (1990) at the Naval Postgraduate School. The Auto-Avian method replaced the manual procedure of selecting Ground Control Points (GCPs) with an autocorrelation process that utilizes the World Vector Shoreline (WVS) provided by the Defense Mapping Agency (DMA) as a "string" of GCPs to rectify satellite images. The automatic cross-correlation of binary references (WVS) and search (image) windows eliminated the subjective error associated with the manual selection of GCPs and produced accuracies comparable to the manual method. This study expanded the scope of Spaulding's (1990) research. The worldwide application of the Auto-Avian method was demonstrated in three world regions (eastern North Pacific Ocean, eastern North Atlantic Ocean, and Persian Gulf). Using five case studies, the performance of the Auto-Avian method on "less than optimum" images (i.e., islands, coastlines affected by lateral distortion and/or cloud cover) was investigated. The result indicated that utilizing the Auto-Avian method on these "less than optimum images" could achieve navigational accuracies approaching those obtained by Spaulding (1990). Approved for public release; distribution is unlimited. Lieutenant Commander, United States Navy http://archive.org/details/automatedsatelli1094523552 Thesis North Atlantic Naval Postgraduate School: Calhoun Pacific |
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Naval Postgraduate School: Calhoun |
op_collection_id |
ftnavalpschool |
language |
English |
topic |
Image navigation Binary correlation Automated landmarking |
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Image navigation Binary correlation Automated landmarking Bassett, Robert M. Automated satellite image navigation |
topic_facet |
Image navigation Binary correlation Automated landmarking |
description |
This study investigated the automated satellite image navigation method (Auto-Avian) developed and tested by Spaulding (1990) at the Naval Postgraduate School. The Auto-Avian method replaced the manual procedure of selecting Ground Control Points (GCPs) with an autocorrelation process that utilizes the World Vector Shoreline (WVS) provided by the Defense Mapping Agency (DMA) as a "string" of GCPs to rectify satellite images. The automatic cross-correlation of binary references (WVS) and search (image) windows eliminated the subjective error associated with the manual selection of GCPs and produced accuracies comparable to the manual method. This study expanded the scope of Spaulding's (1990) research. The worldwide application of the Auto-Avian method was demonstrated in three world regions (eastern North Pacific Ocean, eastern North Atlantic Ocean, and Persian Gulf). Using five case studies, the performance of the Auto-Avian method on "less than optimum" images (i.e., islands, coastlines affected by lateral distortion and/or cloud cover) was investigated. The result indicated that utilizing the Auto-Avian method on these "less than optimum images" could achieve navigational accuracies approaching those obtained by Spaulding (1990). Approved for public release; distribution is unlimited. Lieutenant Commander, United States Navy http://archive.org/details/automatedsatelli1094523552 |
author2 |
Wash, Carlyle H. Naval Postgraduate School Meteorology Durkee, Philip A. |
format |
Thesis |
author |
Bassett, Robert M. |
author_facet |
Bassett, Robert M. |
author_sort |
Bassett, Robert M. |
title |
Automated satellite image navigation |
title_short |
Automated satellite image navigation |
title_full |
Automated satellite image navigation |
title_fullStr |
Automated satellite image navigation |
title_full_unstemmed |
Automated satellite image navigation |
title_sort |
automated satellite image navigation |
publisher |
Monterey, California. Naval Postgraduate School |
publishDate |
1992 |
url |
https://hdl.handle.net/10945/23552 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
https://hdl.handle.net/10945/23552 |
op_rights |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. |
_version_ |
1801379852636389376 |