Radiometric correction of hyperspectral imaging data in spacial dimension and spectral dimension
Because sample are affected by light, lens and sensor in optical channel in hyperspectral imaging system, image quality and spectrums are also affected. The paper proposes the gray correction coefficient algorithm with spatial dimension and spectral dimension to preprocess molecular hyperspectral im...
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| creator | Liu Hongying Guan Yana Li Qingli Liu Jingao Xue Yongqi |
| description | Because sample are affected by light, lens and sensor in optical channel in hyperspectral imaging system, image quality and spectrums are also affected. The paper proposes the gray correction coefficient algorithm with spatial dimension and spectral dimension to preprocess molecular hyperspectral imaging data. The experimental results show that the algorithm can carry out radiometric correction in spatial dimension and spectral dimension and eliminate the effects of light, lens and sensor. Image quality is significantly improved. The spectrum curves indicating true biochemical characteristics of the sample are extracted that classification results based on spectral information are better than uncorrected sample. |
| doi_str_mv | 10.1109/MACE.2011.5987946 |
| format | Conference Proceeding |
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The paper proposes the gray correction coefficient algorithm with spatial dimension and spectral dimension to preprocess molecular hyperspectral imaging data. The experimental results show that the algorithm can carry out radiometric correction in spatial dimension and spectral dimension and eliminate the effects of light, lens and sensor. Image quality is significantly improved. The spectrum curves indicating true biochemical characteristics of the sample are extracted that classification results based on spectral information are better than uncorrected sample.</description><identifier>ISBN: 1424494362</identifier><identifier>ISBN: 9781424494361</identifier><identifier>EISBN: 1424494389</identifier><identifier>EISBN: 9781424494385</identifier><identifier>EISBN: 1424494397</identifier><identifier>EISBN: 9781424494392</identifier><identifier>DOI: 10.1109/MACE.2011.5987946</identifier><language>chi ; eng</language><publisher>IEEE</publisher><subject>Hyperspectral imaging ; Medical diagnostic imaging ; molecular hyperspctral imaging (MHSI) ; Optical filters ; radiometric correction ; Radiometry ; spectral angle mapper</subject><ispartof>2011 Second International Conference on Mechanic Automation and Control Engineering, 2011, p.4265-4268</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/5987946$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5987946$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Liu Hongying</creatorcontrib><creatorcontrib>Guan Yana</creatorcontrib><creatorcontrib>Li Qingli</creatorcontrib><creatorcontrib>Liu Jingao</creatorcontrib><creatorcontrib>Xue Yongqi</creatorcontrib><title>Radiometric correction of hyperspectral imaging data in spacial dimension and spectral dimension</title><title>2011 Second International Conference on Mechanic Automation and Control Engineering</title><addtitle>MACE</addtitle><description>Because sample are affected by light, lens and sensor in optical channel in hyperspectral imaging system, image quality and spectrums are also affected. 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The spectrum curves indicating true biochemical characteristics of the sample are extracted that classification results based on spectral information are better than uncorrected sample.</description><subject>Hyperspectral imaging</subject><subject>Medical diagnostic imaging</subject><subject>molecular hyperspctral imaging (MHSI)</subject><subject>Optical filters</subject><subject>radiometric correction</subject><subject>Radiometry</subject><subject>spectral angle mapper</subject><isbn>1424494362</isbn><isbn>9781424494361</isbn><isbn>1424494389</isbn><isbn>9781424494385</isbn><isbn>1424494397</isbn><isbn>9781424494392</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkNtKw0AQhldEUGsfQLzZF0jcU5KdyxLqASqC9L5OdjZ1pTmwm5u-vRFLnf9i-D9mhuFn7F6KXEoBj2-rep0rIWVegK3AlBfsVhplDBht4fLflOqaLVP6FnOVJYC0N-zzAykMnZ9icNwNMXo3haHnQ8u_jqOPaZxBxAMPHe5Dv-eEE_LQ8zSiCzOn0Pk-_a5gT_w8fsZ37KrFQ_LLU1-w7dN6W79km_fn13q1yQKIKTNCF-ScAkQSCGQr21ZApiIwQNq0TYHWtNi0qLwl1TRGEflZjQMUWi_Yw9_Z4L3fjXF-Nx53p0D0D2zoWAw</recordid><startdate>201107</startdate><enddate>201107</enddate><creator>Liu Hongying</creator><creator>Guan Yana</creator><creator>Li Qingli</creator><creator>Liu Jingao</creator><creator>Xue Yongqi</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201107</creationdate><title>Radiometric correction of hyperspectral imaging data in spacial dimension and spectral dimension</title><author>Liu Hongying ; Guan Yana ; Li Qingli ; Liu Jingao ; Xue Yongqi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-4035dcc29aad0a9d878f79d47d949d34fb5a84fabfa2e8d2bb42ddededbc9a033</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>chi ; eng</language><creationdate>2011</creationdate><topic>Hyperspectral imaging</topic><topic>Medical diagnostic imaging</topic><topic>molecular hyperspctral imaging (MHSI)</topic><topic>Optical filters</topic><topic>radiometric correction</topic><topic>Radiometry</topic><topic>spectral angle mapper</topic><toplevel>online_resources</toplevel><creatorcontrib>Liu Hongying</creatorcontrib><creatorcontrib>Guan Yana</creatorcontrib><creatorcontrib>Li Qingli</creatorcontrib><creatorcontrib>Liu Jingao</creatorcontrib><creatorcontrib>Xue Yongqi</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>Liu Hongying</au><au>Guan Yana</au><au>Li Qingli</au><au>Liu Jingao</au><au>Xue Yongqi</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Radiometric correction of hyperspectral imaging data in spacial dimension and spectral dimension</atitle><btitle>2011 Second International Conference on Mechanic Automation and Control Engineering</btitle><stitle>MACE</stitle><date>2011-07</date><risdate>2011</risdate><spage>4265</spage><epage>4268</epage><pages>4265-4268</pages><isbn>1424494362</isbn><isbn>9781424494361</isbn><eisbn>1424494389</eisbn><eisbn>9781424494385</eisbn><eisbn>1424494397</eisbn><eisbn>9781424494392</eisbn><abstract>Because sample are affected by light, lens and sensor in optical channel in hyperspectral imaging system, image quality and spectrums are also affected. The paper proposes the gray correction coefficient algorithm with spatial dimension and spectral dimension to preprocess molecular hyperspectral imaging data. The experimental results show that the algorithm can carry out radiometric correction in spatial dimension and spectral dimension and eliminate the effects of light, lens and sensor. Image quality is significantly improved. The spectrum curves indicating true biochemical characteristics of the sample are extracted that classification results based on spectral information are better than uncorrected sample.</abstract><pub>IEEE</pub><doi>10.1109/MACE.2011.5987946</doi><tpages>4</tpages></addata></record> |
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| language | chi ; eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Hyperspectral imaging Medical diagnostic imaging molecular hyperspctral imaging (MHSI) Optical filters radiometric correction Radiometry spectral angle mapper |
| title | Radiometric correction of hyperspectral imaging data in spacial dimension and spectral dimension |
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