A Novel Method to Remove Interference Fringes for Hyperspectral SWIR Imagers
A hyperspectral short-wave infrared (SWIR) imager with a HgCdTe focal plane detector usually suffers from interference fringes in spectral and spatial dimension due to the etalon effect. It can cause a modulation of sensitivity higher than 15% when the spectral resolution is higher than 10 nm. In th...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2020-11, Vol.58 (11), p.7580-7588 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 7588 |
|---|---|
| container_issue | 11 |
| container_start_page | 7580 |
| container_title | IEEE transactions on geoscience and remote sensing |
| container_volume | 58 |
| creator | Xu, Yue Xie, Shao-Biao Liang, Jian Sun, De-Xin Qi, Nai-Ming Liu, Yin-Nian |
| description | A hyperspectral short-wave infrared (SWIR) imager with a HgCdTe focal plane detector usually suffers from interference fringes in spectral and spatial dimension due to the etalon effect. It can cause a modulation of sensitivity higher than 15% when the spectral resolution is higher than 10 nm. In this article, a two-step method is proposed and evaluated to remove interference fringes for hyperspectral SWIR imagers. First, we extract the spectral data, conduct harmonic decomposition to suppress the fringes in spectral dimension, and calculate the correction coefficients. Second, we optimize the correction coefficients according to the distribution of the interference fringes in spatial dimension. Sample SWIR images acquired from the Advanced Hyperspectral Imager (AHSI) on China's GaoFen-5 satellite are used to evaluate the performance of the algorithm. It shows that the proposed method can well preserve the original spectral pattern and reduce the peak-to-peak amplitude of spatial fringing from ±15% to ±4%. The method is compared with three other previously proposed methods. It turns out that the newly proposed method has strong adaptability, high accuracy, and high efficiency. |
| doi_str_mv | 10.1109/TGRS.2020.2981640 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_9062576</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9062576</ieee_id><sourcerecordid>2456528402</sourcerecordid><originalsourceid>FETCH-LOGICAL-c293t-a25fc1b66003c3daf3753d752ac5596bbf17af630c2664107ca13fcf8553613d3</originalsourceid><addsrcrecordid>eNqNkFFLwzAQx4MoOKcfQHwJ-Cidl6RJ28cx3FaYCtvEx5JmyezYmppkyr69LRv66tMdx-93x_0RuiUwIASyx-VkvhhQoDCgWUpEDGeoRzhPIxBxfI56QDIR0TSjl-jK-w0AiTlJemg2xC_2S2_xsw4fdoWDxXO9ayc4r4N2RjtdK43HrqrX2mNjHZ4eGu18o1VwcosX7_kc5zu5bmfX6MLIrdc3p9pHb-On5WgazV4n-Wg4ixTNWIgk5UaRUggApthKGpZwtko4lYrzTJSlIYk0goGiQsQEEiUJM8qknDNB2Ir10f1xb-Ps5177UGzs3tXtyYLGXHCaxkBbihwp5az3TpuicdVOukNBoOhCK7rQii604hRa66RH51uX1nhVdd__egDAU5Zy4G0HYlQFGSpbj-y-Dq368H-1pe-OdKX1H5WBoDwR7Aem8YeY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2456528402</pqid></control><display><type>article</type><title>A Novel Method to Remove Interference Fringes for Hyperspectral SWIR Imagers</title><source>IEEE Electronic Library (IEL)</source><creator>Xu, Yue ; Xie, Shao-Biao ; Liang, Jian ; Sun, De-Xin ; Qi, Nai-Ming ; Liu, Yin-Nian</creator><creatorcontrib>Xu, Yue ; Xie, Shao-Biao ; Liang, Jian ; Sun, De-Xin ; Qi, Nai-Ming ; Liu, Yin-Nian</creatorcontrib><description>A hyperspectral short-wave infrared (SWIR) imager with a HgCdTe focal plane detector usually suffers from interference fringes in spectral and spatial dimension due to the etalon effect. It can cause a modulation of sensitivity higher than 15% when the spectral resolution is higher than 10 nm. In this article, a two-step method is proposed and evaluated to remove interference fringes for hyperspectral SWIR imagers. First, we extract the spectral data, conduct harmonic decomposition to suppress the fringes in spectral dimension, and calculate the correction coefficients. Second, we optimize the correction coefficients according to the distribution of the interference fringes in spatial dimension. Sample SWIR images acquired from the Advanced Hyperspectral Imager (AHSI) on China's GaoFen-5 satellite are used to evaluate the performance of the algorithm. It shows that the proposed method can well preserve the original spectral pattern and reduce the peak-to-peak amplitude of spatial fringing from ±15% to ±4%. The method is compared with three other previously proposed methods. It turns out that the newly proposed method has strong adaptability, high accuracy, and high efficiency.</description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/TGRS.2020.2981640</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>PISCATAWAY: IEEE</publisher><subject>Adaptability ; Algorithms ; Cadmium compounds ; Coefficients ; Dimensions ; Engineering ; Engineering, Electrical & Electronic ; Etalons ; Focal plane ; Geochemistry & Geophysics ; Harmonic analysis ; Hyperspectral imaging ; II-VI semiconductor materials ; Image acquisition ; Imaging Science & Photographic Technology ; Interference ; Interference fringes ; Microscopes ; Performance evaluation ; Physical Sciences ; Remote Sensing ; Science & Technology ; Short wave radiation ; short-wave infrared (SWIR) ; Silicon ; Spectra ; Spectral resolution ; Technology</subject><ispartof>IEEE transactions on geoscience and remote sensing, 2020-11, Vol.58 (11), p.7580-7588</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>1</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000583850500006</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c293t-a25fc1b66003c3daf3753d752ac5596bbf17af630c2664107ca13fcf8553613d3</citedby><cites>FETCH-LOGICAL-c293t-a25fc1b66003c3daf3753d752ac5596bbf17af630c2664107ca13fcf8553613d3</cites><orcidid>0000-0002-8791-0044 ; 0000-0002-7988-5862</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9062576$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>315,781,785,797,27928,27929,28252,54762</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9062576$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xu, Yue</creatorcontrib><creatorcontrib>Xie, Shao-Biao</creatorcontrib><creatorcontrib>Liang, Jian</creatorcontrib><creatorcontrib>Sun, De-Xin</creatorcontrib><creatorcontrib>Qi, Nai-Ming</creatorcontrib><creatorcontrib>Liu, Yin-Nian</creatorcontrib><title>A Novel Method to Remove Interference Fringes for Hyperspectral SWIR Imagers</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><addtitle>IEEE T GEOSCI REMOTE</addtitle><description>A hyperspectral short-wave infrared (SWIR) imager with a HgCdTe focal plane detector usually suffers from interference fringes in spectral and spatial dimension due to the etalon effect. It can cause a modulation of sensitivity higher than 15% when the spectral resolution is higher than 10 nm. In this article, a two-step method is proposed and evaluated to remove interference fringes for hyperspectral SWIR imagers. First, we extract the spectral data, conduct harmonic decomposition to suppress the fringes in spectral dimension, and calculate the correction coefficients. Second, we optimize the correction coefficients according to the distribution of the interference fringes in spatial dimension. Sample SWIR images acquired from the Advanced Hyperspectral Imager (AHSI) on China's GaoFen-5 satellite are used to evaluate the performance of the algorithm. It shows that the proposed method can well preserve the original spectral pattern and reduce the peak-to-peak amplitude of spatial fringing from ±15% to ±4%. The method is compared with three other previously proposed methods. It turns out that the newly proposed method has strong adaptability, high accuracy, and high efficiency.</description><subject>Adaptability</subject><subject>Algorithms</subject><subject>Cadmium compounds</subject><subject>Coefficients</subject><subject>Dimensions</subject><subject>Engineering</subject><subject>Engineering, Electrical & Electronic</subject><subject>Etalons</subject><subject>Focal plane</subject><subject>Geochemistry & Geophysics</subject><subject>Harmonic analysis</subject><subject>Hyperspectral imaging</subject><subject>II-VI semiconductor materials</subject><subject>Image acquisition</subject><subject>Imaging Science & Photographic Technology</subject><subject>Interference</subject><subject>Interference fringes</subject><subject>Microscopes</subject><subject>Performance evaluation</subject><subject>Physical Sciences</subject><subject>Remote Sensing</subject><subject>Science & Technology</subject><subject>Short wave radiation</subject><subject>short-wave infrared (SWIR)</subject><subject>Silicon</subject><subject>Spectra</subject><subject>Spectral resolution</subject><subject>Technology</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>AOWDO</sourceid><recordid>eNqNkFFLwzAQx4MoOKcfQHwJ-Cidl6RJ28cx3FaYCtvEx5JmyezYmppkyr69LRv66tMdx-93x_0RuiUwIASyx-VkvhhQoDCgWUpEDGeoRzhPIxBxfI56QDIR0TSjl-jK-w0AiTlJemg2xC_2S2_xsw4fdoWDxXO9ayc4r4N2RjtdK43HrqrX2mNjHZ4eGu18o1VwcosX7_kc5zu5bmfX6MLIrdc3p9pHb-On5WgazV4n-Wg4ixTNWIgk5UaRUggApthKGpZwtko4lYrzTJSlIYk0goGiQsQEEiUJM8qknDNB2Ir10f1xb-Ps5177UGzs3tXtyYLGXHCaxkBbihwp5az3TpuicdVOukNBoOhCK7rQii604hRa66RH51uX1nhVdd__egDAU5Zy4G0HYlQFGSpbj-y-Dq368H-1pe-OdKX1H5WBoDwR7Aem8YeY</recordid><startdate>20201101</startdate><enddate>20201101</enddate><creator>Xu, Yue</creator><creator>Xie, Shao-Biao</creator><creator>Liang, Jian</creator><creator>Sun, De-Xin</creator><creator>Qi, Nai-Ming</creator><creator>Liu, Yin-Nian</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-8791-0044</orcidid><orcidid>https://orcid.org/0000-0002-7988-5862</orcidid></search><sort><creationdate>20201101</creationdate><title>A Novel Method to Remove Interference Fringes for Hyperspectral SWIR Imagers</title><author>Xu, Yue ; Xie, Shao-Biao ; Liang, Jian ; Sun, De-Xin ; Qi, Nai-Ming ; Liu, Yin-Nian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-a25fc1b66003c3daf3753d752ac5596bbf17af630c2664107ca13fcf8553613d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adaptability</topic><topic>Algorithms</topic><topic>Cadmium compounds</topic><topic>Coefficients</topic><topic>Dimensions</topic><topic>Engineering</topic><topic>Engineering, Electrical & Electronic</topic><topic>Etalons</topic><topic>Focal plane</topic><topic>Geochemistry & Geophysics</topic><topic>Harmonic analysis</topic><topic>Hyperspectral imaging</topic><topic>II-VI semiconductor materials</topic><topic>Image acquisition</topic><topic>Imaging Science & Photographic Technology</topic><topic>Interference</topic><topic>Interference fringes</topic><topic>Microscopes</topic><topic>Performance evaluation</topic><topic>Physical Sciences</topic><topic>Remote Sensing</topic><topic>Science & Technology</topic><topic>Short wave radiation</topic><topic>short-wave infrared (SWIR)</topic><topic>Silicon</topic><topic>Spectra</topic><topic>Spectral resolution</topic><topic>Technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Yue</creatorcontrib><creatorcontrib>Xie, Shao-Biao</creatorcontrib><creatorcontrib>Liang, Jian</creatorcontrib><creatorcontrib>Sun, De-Xin</creatorcontrib><creatorcontrib>Qi, Nai-Ming</creatorcontrib><creatorcontrib>Liu, Yin-Nian</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on geoscience and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xu, Yue</au><au>Xie, Shao-Biao</au><au>Liang, Jian</au><au>Sun, De-Xin</au><au>Qi, Nai-Ming</au><au>Liu, Yin-Nian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Novel Method to Remove Interference Fringes for Hyperspectral SWIR Imagers</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><stitle>IEEE T GEOSCI REMOTE</stitle><date>2020-11-01</date><risdate>2020</risdate><volume>58</volume><issue>11</issue><spage>7580</spage><epage>7588</epage><pages>7580-7588</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract>A hyperspectral short-wave infrared (SWIR) imager with a HgCdTe focal plane detector usually suffers from interference fringes in spectral and spatial dimension due to the etalon effect. It can cause a modulation of sensitivity higher than 15% when the spectral resolution is higher than 10 nm. In this article, a two-step method is proposed and evaluated to remove interference fringes for hyperspectral SWIR imagers. First, we extract the spectral data, conduct harmonic decomposition to suppress the fringes in spectral dimension, and calculate the correction coefficients. Second, we optimize the correction coefficients according to the distribution of the interference fringes in spatial dimension. Sample SWIR images acquired from the Advanced Hyperspectral Imager (AHSI) on China's GaoFen-5 satellite are used to evaluate the performance of the algorithm. It shows that the proposed method can well preserve the original spectral pattern and reduce the peak-to-peak amplitude of spatial fringing from ±15% to ±4%. The method is compared with three other previously proposed methods. It turns out that the newly proposed method has strong adaptability, high accuracy, and high efficiency.</abstract><cop>PISCATAWAY</cop><pub>IEEE</pub><doi>10.1109/TGRS.2020.2981640</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-8791-0044</orcidid><orcidid>https://orcid.org/0000-0002-7988-5862</orcidid></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0196-2892 |
| ispartof | IEEE transactions on geoscience and remote sensing, 2020-11, Vol.58 (11), p.7580-7588 |
| issn | 0196-2892 1558-0644 |
| language | eng |
| recordid | cdi_ieee_primary_9062576 |
| source | IEEE Electronic Library (IEL) |
| subjects | Adaptability Algorithms Cadmium compounds Coefficients Dimensions Engineering Engineering, Electrical & Electronic Etalons Focal plane Geochemistry & Geophysics Harmonic analysis Hyperspectral imaging II-VI semiconductor materials Image acquisition Imaging Science & Photographic Technology Interference Interference fringes Microscopes Performance evaluation Physical Sciences Remote Sensing Science & Technology Short wave radiation short-wave infrared (SWIR) Silicon Spectra Spectral resolution Technology |
| title | A Novel Method to Remove Interference Fringes for Hyperspectral SWIR Imagers |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-16T14%3A53%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Novel%20Method%20to%20Remove%20Interference%20Fringes%20for%20Hyperspectral%20SWIR%20Imagers&rft.jtitle=IEEE%20transactions%20on%20geoscience%20and%20remote%20sensing&rft.au=Xu,%20Yue&rft.date=2020-11-01&rft.volume=58&rft.issue=11&rft.spage=7580&rft.epage=7588&rft.pages=7580-7588&rft.issn=0196-2892&rft.eissn=1558-0644&rft.coden=IGRSD2&rft_id=info:doi/10.1109/TGRS.2020.2981640&rft_dat=%3Cproquest_RIE%3E2456528402%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2456528402&rft_id=info:pmid/&rft_ieee_id=9062576&rfr_iscdi=true |