Remote Sensing Image Fusion Based on Nonlinear IHS and Fast Nonsubsampled Contourlet Transform
The purpose of remote sensing image fusion is to inject the detail image extracted from the panchromatic (PAN) image into the low spatial resolution multispectral (MS) image. A novel remote sensing image fusion method based on fast nonsubsampled contourlet transform (FNSCT) and Nonlinear intensity-h...
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| Veröffentlicht in: | Journal of the Indian Society of Remote Sensing 2018-12, Vol.46 (12), p.2023-2032 |
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| container_issue | 12 |
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| container_title | Journal of the Indian Society of Remote Sensing |
| container_volume | 46 |
| creator | Du, Chaoben Gao, Shesheng |
| description | The purpose of remote sensing image fusion is to inject the detail image extracted from the panchromatic (PAN) image into the low spatial resolution multispectral (MS) image. A novel remote sensing image fusion method based on fast nonsubsampled contourlet transform (FNSCT) and Nonlinear intensity-hue-saturation (IHS) is presented in this paper. Firstly, the Nonlinear IHS transform is performed on the multispectral image, and then the I-component representing the spatial resolution and the panchromatic image is transformed by NSCT to obtain the low frequency and high frequency. Finally, the coefficients are selected using the improved sum-modified-Laplacian (SML) method and the improved Log-Gabor filter in the low frequency and the high frequency, respectively. Experimental results show that the proposed method is the most advanced fusion method in subjective and objective evaluation, can provide more spatial information, and retain more spectral information compared with several other methods. |
| doi_str_mv | 10.1007/s12524-018-0859-y |
| format | Article |
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A novel remote sensing image fusion method based on fast nonsubsampled contourlet transform (FNSCT) and Nonlinear intensity-hue-saturation (IHS) is presented in this paper. Firstly, the Nonlinear IHS transform is performed on the multispectral image, and then the I-component representing the spatial resolution and the panchromatic image is transformed by NSCT to obtain the low frequency and high frequency. Finally, the coefficients are selected using the improved sum-modified-Laplacian (SML) method and the improved Log-Gabor filter in the low frequency and the high frequency, respectively. Experimental results show that the proposed method is the most advanced fusion method in subjective and objective evaluation, can provide more spatial information, and retain more spectral information compared with several other methods.</description><identifier>ISSN: 0255-660X</identifier><identifier>EISSN: 0974-3006</identifier><identifier>DOI: 10.1007/s12524-018-0859-y</identifier><language>eng</language><publisher>New Delhi: Springer India</publisher><subject>Computer vision ; Defense industry ; Detection ; Earth and Environmental Science ; Earth Sciences ; Gabor filters ; High frequencies ; Image processing ; Low frequencies ; Remote sensing ; Remote Sensing/Photogrammetry ; Research Article ; Saturation (color) ; Spatial data ; Spatial resolution</subject><ispartof>Journal of the Indian Society of Remote Sensing, 2018-12, Vol.46 (12), p.2023-2032</ispartof><rights>Indian Society of Remote Sensing 2018</rights><rights>Copyright Springer Science & Business Media 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-579dcbb5dd8c467471000f754528d08ead0cdfcfebeeb57f1cef31d3e1f5fd573</citedby><cites>FETCH-LOGICAL-c316t-579dcbb5dd8c467471000f754528d08ead0cdfcfebeeb57f1cef31d3e1f5fd573</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12524-018-0859-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12524-018-0859-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,41486,42555,51317</link.rule.ids></links><search><creatorcontrib>Du, Chaoben</creatorcontrib><creatorcontrib>Gao, Shesheng</creatorcontrib><title>Remote Sensing Image Fusion Based on Nonlinear IHS and Fast Nonsubsampled Contourlet Transform</title><title>Journal of the Indian Society of Remote Sensing</title><addtitle>J Indian Soc Remote Sens</addtitle><description>The purpose of remote sensing image fusion is to inject the detail image extracted from the panchromatic (PAN) image into the low spatial resolution multispectral (MS) image. 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Experimental results show that the proposed method is the most advanced fusion method in subjective and objective evaluation, can provide more spatial information, and retain more spectral information compared with several other methods.</description><subject>Computer vision</subject><subject>Defense industry</subject><subject>Detection</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Gabor filters</subject><subject>High frequencies</subject><subject>Image processing</subject><subject>Low frequencies</subject><subject>Remote sensing</subject><subject>Remote Sensing/Photogrammetry</subject><subject>Research Article</subject><subject>Saturation (color)</subject><subject>Spatial data</subject><subject>Spatial resolution</subject><issn>0255-660X</issn><issn>0974-3006</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1UMFKAzEUDKJgrX6At4DnaJLdbLZHLdYWioKt4MmQ3byULbtJTXYP_XtTVvDk6Q3DzLz3BqFbRu8ZpfIhMi54TigrCS3FjBzP0ITOZE4ySovzhLkQpCjo5yW6inGfyFwwPkFf79D5HvAGXGzcDq86vQO8GGLjHX7SEQxO4NW7tnGgA14tN1g7gxc69ic6DlXU3aFNurl3vR9CCz3eBu2i9aG7RhdWtxFufucUfSyet_MlWb-9rOaPa1JnrOiJkDNTV5UwpqzzQuYy_UStFLngpaElaENrY2sLFUAlpGU12IyZDJgV1giZTdHdmHsI_nuA2Kt9OsWllYozwUouWM6Sio2qOvgYA1h1CE2nw1Exqk41qrFGlWpUpxrVMXn46IlJ63YQ_pL_N_0A4wR3EQ</recordid><startdate>20181201</startdate><enddate>20181201</enddate><creator>Du, Chaoben</creator><creator>Gao, Shesheng</creator><general>Springer India</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20181201</creationdate><title>Remote Sensing Image Fusion Based on Nonlinear IHS and Fast Nonsubsampled Contourlet Transform</title><author>Du, Chaoben ; Gao, Shesheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-579dcbb5dd8c467471000f754528d08ead0cdfcfebeeb57f1cef31d3e1f5fd573</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Computer vision</topic><topic>Defense industry</topic><topic>Detection</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Gabor filters</topic><topic>High frequencies</topic><topic>Image processing</topic><topic>Low frequencies</topic><topic>Remote sensing</topic><topic>Remote Sensing/Photogrammetry</topic><topic>Research Article</topic><topic>Saturation (color)</topic><topic>Spatial data</topic><topic>Spatial resolution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Du, Chaoben</creatorcontrib><creatorcontrib>Gao, Shesheng</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of the Indian Society of Remote Sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Du, Chaoben</au><au>Gao, Shesheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Remote Sensing Image Fusion Based on Nonlinear IHS and Fast Nonsubsampled Contourlet Transform</atitle><jtitle>Journal of the Indian Society of Remote Sensing</jtitle><stitle>J Indian Soc Remote Sens</stitle><date>2018-12-01</date><risdate>2018</risdate><volume>46</volume><issue>12</issue><spage>2023</spage><epage>2032</epage><pages>2023-2032</pages><issn>0255-660X</issn><eissn>0974-3006</eissn><abstract>The purpose of remote sensing image fusion is to inject the detail image extracted from the panchromatic (PAN) image into the low spatial resolution multispectral (MS) image. A novel remote sensing image fusion method based on fast nonsubsampled contourlet transform (FNSCT) and Nonlinear intensity-hue-saturation (IHS) is presented in this paper. Firstly, the Nonlinear IHS transform is performed on the multispectral image, and then the I-component representing the spatial resolution and the panchromatic image is transformed by NSCT to obtain the low frequency and high frequency. Finally, the coefficients are selected using the improved sum-modified-Laplacian (SML) method and the improved Log-Gabor filter in the low frequency and the high frequency, respectively. Experimental results show that the proposed method is the most advanced fusion method in subjective and objective evaluation, can provide more spatial information, and retain more spectral information compared with several other methods.</abstract><cop>New Delhi</cop><pub>Springer India</pub><doi>10.1007/s12524-018-0859-y</doi><tpages>10</tpages></addata></record> |
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| source | SpringerLink Journals - AutoHoldings |
| subjects | Computer vision Defense industry Detection Earth and Environmental Science Earth Sciences Gabor filters High frequencies Image processing Low frequencies Remote sensing Remote Sensing/Photogrammetry Research Article Saturation (color) Spatial data Spatial resolution |
| title | Remote Sensing Image Fusion Based on Nonlinear IHS and Fast Nonsubsampled Contourlet Transform |
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