Autocorrelation of Control Points on 11-Band Multispectral Imagery

The use of multispectral imagery with other types of imagery requires that the combined set be accurately registered. This study investigates correlation properties between bands of an 11--channel multispectral scanner for 37 control points in support of interband registration that can later be exte...

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1. Verfasser:	Rand, Robert S
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Sprache:	eng
Schlagworte:	ALGORITHMS Astrophysics AUTOCORRELATION CORRELATION Cybernetics Feature extraction IMAGE PROCESSING IMAGE REGISTRATION Image segmentation MAPPING MULTISPECTRAL PE63701B SEGMENTED SPECTRUM ANALYSIS WUD60
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creator	Rand, Robert S
description	The use of multispectral imagery with other types of imagery requires that the combined set be accurately registered. This study investigates correlation properties between bands of an 11--channel multispectral scanner for 37 control points in support of interband registration that can later be extended to dissimilar image registration. The results show a high degree of correlation between channels 1 through 7, but a lower and unpredictable correlation for other combinations. In addition to providing information about interband registration, the results also have implications for multispectral segmentation algorithms. Keywords: Autocorrelation measures, Image registration, Multispectral imagery, Feature extraction, Image segmentation algorithms.
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This study investigates correlation properties between bands of an 11--channel multispectral scanner for 37 control points in support of interband registration that can later be extended to dissimilar image registration. The results show a high degree of correlation between channels 1 through 7, but a lower and unpredictable correlation for other combinations. In addition to providing information about interband registration, the results also have implications for multispectral segmentation algorithms. Keywords: Autocorrelation measures, Image registration, Multispectral imagery, Feature extraction, Image segmentation algorithms.</description><language>eng</language><subject>ALGORITHMS ; Astrophysics ; AUTOCORRELATION ; CORRELATION ; Cybernetics ; Feature extraction ; IMAGE PROCESSING ; IMAGE REGISTRATION ; Image segmentation ; MAPPING ; MULTISPECTRAL ; PE63701B ; SEGMENTED ; SPECTRUM ANALYSIS ; WUD60</subject><creationdate>1987</creationdate><rights>APPROVED FOR PUBLIC RELEASE</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,776,881,27544,27545</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADA188185$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Rand, Robert S</creatorcontrib><creatorcontrib>ARMY ENGINEER TOPOGRAPHIC LABS FORT BELVOIR VA</creatorcontrib><title>Autocorrelation of Control Points on 11-Band Multispectral Imagery</title><description>The use of multispectral imagery with other types of imagery requires that the combined set be accurately registered. This study investigates correlation properties between bands of an 11--channel multispectral scanner for 37 control points in support of interband registration that can later be extended to dissimilar image registration. The results show a high degree of correlation between channels 1 through 7, but a lower and unpredictable correlation for other combinations. In addition to providing information about interband registration, the results also have implications for multispectral segmentation algorithms. Keywords: Autocorrelation measures, Image registration, Multispectral imagery, Feature extraction, Image segmentation algorithms.</description><subject>ALGORITHMS</subject><subject>Astrophysics</subject><subject>AUTOCORRELATION</subject><subject>CORRELATION</subject><subject>Cybernetics</subject><subject>Feature extraction</subject><subject>IMAGE PROCESSING</subject><subject>IMAGE REGISTRATION</subject><subject>Image segmentation</subject><subject>MAPPING</subject><subject>MULTISPECTRAL</subject><subject>PE63701B</subject><subject>SEGMENTED</subject><subject>SPECTRUM ANALYSIS</subject><subject>WUD60</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>1987</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNrjZHByLC3JT84vKkrNSSzJzM9TyE9TcM7PKynKz1EIyM_MKylWAAoaGuo6JealKPiW5pRkFhekJpcUJeYoeOYmpqcWVfIwsKYl5hSn8kJpbgYZN9cQZw_dlJLM5Pjiksy81JJ4RxdHQwsLQwtTYwLSACNJLsk</recordid><startdate>198708</startdate><enddate>198708</enddate><creator>Rand, Robert S</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>198708</creationdate><title>Autocorrelation of Control Points on 11-Band Multispectral Imagery</title><author>Rand, Robert S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_ADA1881853</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>1987</creationdate><topic>ALGORITHMS</topic><topic>Astrophysics</topic><topic>AUTOCORRELATION</topic><topic>CORRELATION</topic><topic>Cybernetics</topic><topic>Feature extraction</topic><topic>IMAGE PROCESSING</topic><topic>IMAGE REGISTRATION</topic><topic>Image segmentation</topic><topic>MAPPING</topic><topic>MULTISPECTRAL</topic><topic>PE63701B</topic><topic>SEGMENTED</topic><topic>SPECTRUM ANALYSIS</topic><topic>WUD60</topic><toplevel>online_resources</toplevel><creatorcontrib>Rand, Robert S</creatorcontrib><creatorcontrib>ARMY ENGINEER TOPOGRAPHIC LABS FORT BELVOIR VA</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rand, Robert S</au><aucorp>ARMY ENGINEER TOPOGRAPHIC LABS FORT BELVOIR VA</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>Autocorrelation of Control Points on 11-Band Multispectral Imagery</btitle><date>1987-08</date><risdate>1987</risdate><abstract>The use of multispectral imagery with other types of imagery requires that the combined set be accurately registered. This study investigates correlation properties between bands of an 11--channel multispectral scanner for 37 control points in support of interband registration that can later be extended to dissimilar image registration. The results show a high degree of correlation between channels 1 through 7, but a lower and unpredictable correlation for other combinations. In addition to providing information about interband registration, the results also have implications for multispectral segmentation algorithms. Keywords: Autocorrelation measures, Image registration, Multispectral imagery, Feature extraction, Image segmentation algorithms.</abstract><oa>free_for_read</oa></addata></record>
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subjects	ALGORITHMS Astrophysics AUTOCORRELATION CORRELATION Cybernetics Feature extraction IMAGE PROCESSING IMAGE REGISTRATION Image segmentation MAPPING MULTISPECTRAL PE63701B SEGMENTED SPECTRUM ANALYSIS WUD60
title	Autocorrelation of Control Points on 11-Band Multispectral Imagery
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