Multi-scale decomposition for remote sensing image processing
Based on image gradients, an alternative image multi-scale decomposition approach for remote sensing image processing is derived through solving a Poisson equation in this paper. First, the image gradients are obtained. Second, the gradients with given magnitudes are attenuated using some operators....
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| creator | Zhou Lijia Qian Zhibo Xu Guanlei |
| description | Based on image gradients, an alternative image multi-scale decomposition approach for remote sensing image processing is derived through solving a Poisson equation in this paper. First, the image gradients are obtained. Second, the gradients with given magnitudes are attenuated using some operators. Finally, the modified gradients are used to solve a Poisson equation to obtain the smooth base layer and thus the detail layer. This multi-scale decomposition approach is used for remote sensing image enhancement and remote sensing image smoothing, which outperforms the other methods such as bilateral filter (BLF) and weighted least squares based multi-scale decomposition (WLSMD) in edge-preserving image decomposition via experiments. |
| doi_str_mv | 10.1109/CECNET.2011.5768501 |
| format | Conference Proceeding |
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This multi-scale decomposition approach is used for remote sensing image enhancement and remote sensing image smoothing, which outperforms the other methods such as bilateral filter (BLF) and weighted least squares based multi-scale decomposition (WLSMD) in edge-preserving image decomposition via experiments.</description><subject>Attenuation</subject><subject>Equations</subject><subject>Gradient</subject><subject>Image edge detection</subject><subject>Image Enhancement</subject><subject>Multi-Scale Decomposition</subject><subject>Poisson equation</subject><subject>Remote sensing</subject><subject>Remote Sensing Image</subject><subject>Smoothing</subject><subject>Smoothing methods</subject><subject>Variable speed drives</subject><isbn>1612844588</isbn><isbn>9781612844589</isbn><isbn>9781612844572</isbn><isbn>1612844596</isbn><isbn>9781612844596</isbn><isbn>161284457X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1T8tOhEAQHGNM1JUv2As_wNrdDPM4eDAEH8mqF-4bFno2Y4AhDB78ezGudalHJ50qIbYIO0Sw92VVvlf1jgBxV2hlCsALkVhtUCEZKQtNl-L23xhzLZIYP2GFKkgi3oiHt69-8Vlsm57TjtswTCH6xYcxdWFOZx7CwmnkMfrxlPqhOXE6zaHl-BvciSvX9JGTM29E_VTV5Uu2_3h-LR_3mbewZJ0yeceWQEuynbZGEbhVkdMoQZIjs55zReQag1oBH41kA3DU2llN-UZs_956Zj5M81pj_j6cB-c_FlZI8w</recordid><startdate>201104</startdate><enddate>201104</enddate><creator>Zhou Lijia</creator><creator>Qian Zhibo</creator><creator>Xu Guanlei</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201104</creationdate><title>Multi-scale decomposition for remote sensing image processing</title><author>Zhou Lijia ; Qian Zhibo ; Xu Guanlei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-d683de9207429d798620f29d2f714042f28de93622fa81760eb84e800b77f9723</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Attenuation</topic><topic>Equations</topic><topic>Gradient</topic><topic>Image edge detection</topic><topic>Image Enhancement</topic><topic>Multi-Scale Decomposition</topic><topic>Poisson equation</topic><topic>Remote sensing</topic><topic>Remote Sensing Image</topic><topic>Smoothing</topic><topic>Smoothing methods</topic><topic>Variable speed drives</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhou Lijia</creatorcontrib><creatorcontrib>Qian Zhibo</creatorcontrib><creatorcontrib>Xu Guanlei</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>Zhou Lijia</au><au>Qian Zhibo</au><au>Xu Guanlei</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multi-scale decomposition for remote sensing image processing</atitle><btitle>2011 International Conference on Consumer Electronics, Communications and Networks (CECNet)</btitle><stitle>CECNET</stitle><date>2011-04</date><risdate>2011</risdate><spage>4202</spage><epage>4207</epage><pages>4202-4207</pages><isbn>1612844588</isbn><isbn>9781612844589</isbn><eisbn>9781612844572</eisbn><eisbn>1612844596</eisbn><eisbn>9781612844596</eisbn><eisbn>161284457X</eisbn><abstract>Based on image gradients, an alternative image multi-scale decomposition approach for remote sensing image processing is derived through solving a Poisson equation in this paper. 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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Attenuation Equations Gradient Image edge detection Image Enhancement Multi-Scale Decomposition Poisson equation Remote sensing Remote Sensing Image Smoothing Smoothing methods Variable speed drives |
| title | Multi-scale decomposition for remote sensing image processing |
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