Bandlimited BEMD and application in remote sensing image fusion
This paper presents an alterative bi-dimensional empirical mode decomposition based on the assisted images constructed in advance according to needed bandwidth. Firstly, the given assisted image and its negative counterpart are added to the original image respectively to construct the two images to...
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creator | Zhibo Qian Lijia Zhou Guanlei Xu |
description | This paper presents an alterative bi-dimensional empirical mode decomposition based on the assisted images constructed in advance according to needed bandwidth. Firstly, the given assisted image and its negative counterpart are added to the original image respectively to construct the two images to be decomposed. Secondly, the decomposed IMFs from the two images are added together to get the IMFs, in which the added images are canceled out with less mode-mixing and boundary effects. The contribution of the method lies in the low time-cost and controllable bandwidth, which exist in ASBEMD. Lastly, the efficiency and performance of the method are given through theoretical analysis and its application in remote sensing image fusion, which outperforms some previous approaches. |
doi_str_mv | 10.1109/RSETE.2011.5964940 |
format | Conference Proceeding |
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Firstly, the given assisted image and its negative counterpart are added to the original image respectively to construct the two images to be decomposed. Secondly, the decomposed IMFs from the two images are added together to get the IMFs, in which the added images are canceled out with less mode-mixing and boundary effects. The contribution of the method lies in the low time-cost and controllable bandwidth, which exist in ASBEMD. Lastly, the efficiency and performance of the method are given through theoretical analysis and its application in remote sensing image fusion, which outperforms some previous approaches.</description><identifier>ISBN: 9781424491728</identifier><identifier>ISBN: 142449172X</identifier><identifier>EISBN: 1424491703</identifier><identifier>EISBN: 9781424491711</identifier><identifier>EISBN: 1424491711</identifier><identifier>EISBN: 9781424491704</identifier><identifier>DOI: 10.1109/RSETE.2011.5964940</identifier><language>eng</language><publisher>IEEE</publisher><subject>Assisted Image ; Bandwidth ; Bi-Dimensional Empirical Mode Decomposition (BEMD) ; Frequency modulation ; Graphics ; Image fusion ; Interpolation ; Intrinsic Mode Functions (IMF) ; Pixel ; Remote sensing ; Remote Sensing Image Fusion</subject><ispartof>2011 International Conference on Remote Sensing, Environment and Transportation Engineering, 2011, p.2979-2982</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5964940$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5964940$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zhibo Qian</creatorcontrib><creatorcontrib>Lijia Zhou</creatorcontrib><creatorcontrib>Guanlei Xu</creatorcontrib><title>Bandlimited BEMD and application in remote sensing image fusion</title><title>2011 International Conference on Remote Sensing, Environment and Transportation Engineering</title><addtitle>RSETE</addtitle><description>This paper presents an alterative bi-dimensional empirical mode decomposition based on the assisted images constructed in advance according to needed bandwidth. Firstly, the given assisted image and its negative counterpart are added to the original image respectively to construct the two images to be decomposed. Secondly, the decomposed IMFs from the two images are added together to get the IMFs, in which the added images are canceled out with less mode-mixing and boundary effects. The contribution of the method lies in the low time-cost and controllable bandwidth, which exist in ASBEMD. Lastly, the efficiency and performance of the method are given through theoretical analysis and its application in remote sensing image fusion, which outperforms some previous approaches.</description><subject>Assisted Image</subject><subject>Bandwidth</subject><subject>Bi-Dimensional Empirical Mode Decomposition (BEMD)</subject><subject>Frequency modulation</subject><subject>Graphics</subject><subject>Image fusion</subject><subject>Interpolation</subject><subject>Intrinsic Mode Functions (IMF)</subject><subject>Pixel</subject><subject>Remote sensing</subject><subject>Remote Sensing Image Fusion</subject><isbn>9781424491728</isbn><isbn>142449172X</isbn><isbn>1424491703</isbn><isbn>9781424491711</isbn><isbn>1424491711</isbn><isbn>9781424491704</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j91KxDAUhCMiqGtfQG_yAq05TZrmXIm71h9YEbT3S9KeLJG2W5p64dtb2HVuho-BYYaxWxAZgMD7z6-qrrJcAGQFaoVKnLFrULlSCKWQ5yzB0vxzbi5ZEuO3WKQ1alRX7GFth7YLfZip5evq_YkvzO04dqGxczgMPAx8ov4wE480xDDseejtnrj_iUt8wy687SIlJ1-x-rmqN6_p9uPlbfO4TQOKOSWjBFgA11iSGqVFkCSLEpuydc5L41yptaRGWF94bZz3TYFtSw6lM5rkit0dawMR7cZpmTD97k6X5R9ixkre</recordid><startdate>201106</startdate><enddate>201106</enddate><creator>Zhibo Qian</creator><creator>Lijia Zhou</creator><creator>Guanlei Xu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201106</creationdate><title>Bandlimited BEMD and application in remote sensing image fusion</title><author>Zhibo Qian ; Lijia Zhou ; Guanlei Xu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-e8401a11bcae3693a913e3579c7dbbf38bb7663ec0af5f68bffc59ddeb93b86e3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Assisted Image</topic><topic>Bandwidth</topic><topic>Bi-Dimensional Empirical Mode Decomposition (BEMD)</topic><topic>Frequency modulation</topic><topic>Graphics</topic><topic>Image fusion</topic><topic>Interpolation</topic><topic>Intrinsic Mode Functions (IMF)</topic><topic>Pixel</topic><topic>Remote sensing</topic><topic>Remote Sensing Image Fusion</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhibo Qian</creatorcontrib><creatorcontrib>Lijia Zhou</creatorcontrib><creatorcontrib>Guanlei Xu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhibo Qian</au><au>Lijia Zhou</au><au>Guanlei Xu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Bandlimited BEMD and application in remote sensing image fusion</atitle><btitle>2011 International Conference on Remote Sensing, Environment and Transportation Engineering</btitle><stitle>RSETE</stitle><date>2011-06</date><risdate>2011</risdate><spage>2979</spage><epage>2982</epage><pages>2979-2982</pages><isbn>9781424491728</isbn><isbn>142449172X</isbn><eisbn>1424491703</eisbn><eisbn>9781424491711</eisbn><eisbn>1424491711</eisbn><eisbn>9781424491704</eisbn><abstract>This paper presents an alterative bi-dimensional empirical mode decomposition based on the assisted images constructed in advance according to needed bandwidth. Firstly, the given assisted image and its negative counterpart are added to the original image respectively to construct the two images to be decomposed. Secondly, the decomposed IMFs from the two images are added together to get the IMFs, in which the added images are canceled out with less mode-mixing and boundary effects. The contribution of the method lies in the low time-cost and controllable bandwidth, which exist in ASBEMD. Lastly, the efficiency and performance of the method are given through theoretical analysis and its application in remote sensing image fusion, which outperforms some previous approaches.</abstract><pub>IEEE</pub><doi>10.1109/RSETE.2011.5964940</doi><tpages>4</tpages></addata></record> |
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identifier | ISBN: 9781424491728 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Assisted Image Bandwidth Bi-Dimensional Empirical Mode Decomposition (BEMD) Frequency modulation Graphics Image fusion Interpolation Intrinsic Mode Functions (IMF) Pixel Remote sensing Remote Sensing Image Fusion |
title | Bandlimited BEMD and application in remote sensing image fusion |
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