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 (GCP's) with an autocorrelation process that uti...
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ftdtic:ADA262868 2023-05-15T17:30:24+02:00 Automated Satellite Image Navigation Bassett, Robert M. NAVAL POSTGRADUATE SCHOOL MONTEREY CA 1992-12 text/html http://www.dtic.mil/docs/citations/ADA262868 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA262868 en eng http://www.dtic.mil/docs/citations/ADA262868 Approved for public release; distribution is unlimited. DTIC AND NTIS Navigation and Guidance Unmanned Spacecraft *AUTOMATION *AUTOCORRELATION *NAVIGATION SATELLITES GULFS CASE STUDIES ARTIFICIAL SATELLITES OCEANS PACIFIC OCEAN SELECTION CROSS CORRELATION NORTH PACIFIC OCEAN NORTH ATLANTIC OCEAN ATLANTIC OCEAN MAPPING ERRORS IMAGES THESES PERSIAN GULF IMAGE NAVIGATION BINARY CORRELATION AUTOMATED LANDMARKING SATELLITE IMAGES Text 1992 ftdtic 2016-02-22T10:28:01Z 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 (GCP's) with an autocorrelation process that utilizes the World Vector Shoreline (WVS) provided by the Defense Mapping Agency (DMA) as a string of GCP's to rectify satellite images. The automatic cross- correlation of binary reference (WVS) and search (image) windows eliminated the subjective error associated with the manual selection of GCP's 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. Text North Atlantic Defense Technical Information Center: DTIC Technical Reports database Pacific |
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Defense Technical Information Center: DTIC Technical Reports database |
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English |
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Navigation and Guidance Unmanned Spacecraft *AUTOMATION *AUTOCORRELATION *NAVIGATION SATELLITES GULFS CASE STUDIES ARTIFICIAL SATELLITES OCEANS PACIFIC OCEAN SELECTION CROSS CORRELATION NORTH PACIFIC OCEAN NORTH ATLANTIC OCEAN ATLANTIC OCEAN MAPPING ERRORS IMAGES THESES PERSIAN GULF IMAGE NAVIGATION BINARY CORRELATION AUTOMATED LANDMARKING SATELLITE IMAGES |
spellingShingle |
Navigation and Guidance Unmanned Spacecraft *AUTOMATION *AUTOCORRELATION *NAVIGATION SATELLITES GULFS CASE STUDIES ARTIFICIAL SATELLITES OCEANS PACIFIC OCEAN SELECTION CROSS CORRELATION NORTH PACIFIC OCEAN NORTH ATLANTIC OCEAN ATLANTIC OCEAN MAPPING ERRORS IMAGES THESES PERSIAN GULF IMAGE NAVIGATION BINARY CORRELATION AUTOMATED LANDMARKING SATELLITE IMAGES Bassett, Robert M. Automated Satellite Image Navigation |
topic_facet |
Navigation and Guidance Unmanned Spacecraft *AUTOMATION *AUTOCORRELATION *NAVIGATION SATELLITES GULFS CASE STUDIES ARTIFICIAL SATELLITES OCEANS PACIFIC OCEAN SELECTION CROSS CORRELATION NORTH PACIFIC OCEAN NORTH ATLANTIC OCEAN ATLANTIC OCEAN MAPPING ERRORS IMAGES THESES PERSIAN GULF IMAGE NAVIGATION BINARY CORRELATION AUTOMATED LANDMARKING SATELLITE IMAGES |
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 (GCP's) with an autocorrelation process that utilizes the World Vector Shoreline (WVS) provided by the Defense Mapping Agency (DMA) as a string of GCP's to rectify satellite images. The automatic cross- correlation of binary reference (WVS) and search (image) windows eliminated the subjective error associated with the manual selection of GCP's 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. |
author2 |
NAVAL POSTGRADUATE SCHOOL MONTEREY CA |
format |
Text |
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 |
publishDate |
1992 |
url |
http://www.dtic.mil/docs/citations/ADA262868 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA262868 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
DTIC AND NTIS |
op_relation |
http://www.dtic.mil/docs/citations/ADA262868 |
op_rights |
Approved for public release; distribution is unlimited. |
_version_ |
1766126792589967360 |