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Simulation of Pol-SAR Imaging and Data Analysis of Mini-RF Observation From the Lunar Surface
High circular polarization ratio (CPR) characteristics were found in permanently shaded regions (PSRs) near the lunar poles. High CPR was regarded as a water ice index. The compact-polarimetric (CP) miniature radio frequency (Mini-RF) radar transmits left-circularly polarized signals and receives ho...
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Published in: | IEEE transactions on geoscience and remote sensing 2022, Vol.60, p.1-11 |
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description | High circular polarization ratio (CPR) characteristics were found in permanently shaded regions (PSRs) near the lunar poles. High CPR was regarded as a water ice index. The compact-polarimetric (CP) miniature radio frequency (Mini-RF) radar transmits left-circularly polarized signals and receives horizontally polarized ( S_{\text {HL}} ) and vertically-polarized ( S_{\text {VL}} ) echoes from the lunar surface. Statistics of the CPR data show its relations with the relative phase ( \delta ) between S_{\text {HL}} and S_{\text {VL}} and the degree of polarization ( m ) but few interpretations were provided. The average CPR data reach the maximum and minimum at \delta =\pm 90^{\circ } , respectively. As m becomes very small, the CPR approaches 1. It has been found that CPR is also affected by surface roughness and incidence angle of radar waves. The CPR is now expressed in CP mode to explain the Mini-RF observation. Full-polarimetric radar echoes and CP parameters of the lunar surface are numerically simulated using the bidirectional analytic ray-tracing method. Single-bounce and multiple-bounce scattering components are included in the simulation. Radar images of the lunar crater are simulated with the digital elevation model (DEM) data. The H-\alpha decomposition derived from the full-polarimetric simulation is presented to analyze \delta and m . Simulated radar images with different surface roughness are analyzed statistically to study the functional dependences of \delta , {m} , and CPR on incidence angle and roughness. Relationships a |
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fullrecord | <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_proquest_journals_2610170871</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9387452</ieee_id><sourcerecordid>2610170871</sourcerecordid><originalsourceid>FETCH-LOGICAL-c293t-bc0a00119343ce7a55cbae4c2e06fac9a4a9fc476c394abdb1499647b6b9ec203</originalsourceid><addsrcrecordid>eNo9kF1LwzAUhoMoOKc_QLwJeN2Zk6QfuRzTzcFkss5LKadZOjPWVpNW2L-3pcOrw4HnfXl5CLkHNgFg6mm72KQTzjhMBIskU3BBRhCGSdB98pKMGKgo4Ini1-TG-wNjIEOIR-QztWV7xMbWFa0L-l4fg3S6ocsS97baU6x29BkbpNMKjydvfQ-92coGmzld59643yE7d3VJmy9DV22FjqatK1CbW3JV4NGbu_Mdk4_5y3b2GqzWi-Vsugo0V6IJcs2wWwRKSKFNjGGoczRSc8OirkahRFVoGUdaKIn5LgepVCTjPMqV0ZyJMXkcer9d_dMa32SHunXdZJ_xCBjELImho2CgtKu9d6bIvp0t0Z0yYFlvMestZr3F7GyxyzwMGWuM-eeVSGIZcvEHKehtLg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2610170871</pqid></control><display><type>article</type><title>Simulation of Pol-SAR Imaging and Data Analysis of Mini-RF Observation From the Lunar Surface</title><source>IEEE Electronic Library (IEL) Journals</source><creator>Liu, Niutao ; Jin, Ya-Qiu</creator><creatorcontrib>Liu, Niutao ; Jin, Ya-Qiu</creatorcontrib><description><![CDATA[High circular polarization ratio (CPR) characteristics were found in permanently shaded regions (PSRs) near the lunar poles. High CPR was regarded as a water ice index. The compact-polarimetric (CP) miniature radio frequency (Mini-RF) radar transmits left-circularly polarized signals and receives horizontally polarized (<inline-formula> <tex-math notation="LaTeX">S_{\text {HL}} </tex-math></inline-formula>) and vertically-polarized (<inline-formula> <tex-math notation="LaTeX">S_{\text {VL}} </tex-math></inline-formula>) echoes from the lunar surface. Statistics of the CPR data show its relations with the relative phase (<inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula>) between <inline-formula> <tex-math notation="LaTeX">S_{\text {HL}} </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">S_{\text {VL}} </tex-math></inline-formula> and the degree of polarization (<inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula>) but few interpretations were provided. The average CPR data reach the maximum and minimum at <inline-formula> <tex-math notation="LaTeX">\delta =\pm 90^{\circ } </tex-math></inline-formula>, respectively. As <inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula> becomes very small, the CPR approaches 1. It has been found that CPR is also affected by surface roughness and incidence angle of radar waves. The CPR is now expressed in CP mode to explain the Mini-RF observation. Full-polarimetric radar echoes and CP parameters of the lunar surface are numerically simulated using the bidirectional analytic ray-tracing method. Single-bounce and multiple-bounce scattering components are included in the simulation. Radar images of the lunar crater are simulated with the digital elevation model (DEM) data. The <inline-formula> <tex-math notation="LaTeX">H-\alpha </tex-math></inline-formula> decomposition derived from the full-polarimetric simulation is presented to analyze <inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula>. Simulated radar images with different surface roughness are analyzed statistically to study the functional dependences of <inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">{m} </tex-math></inline-formula>, and CPR on incidence angle and roughness. Relationships among <inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula>, and CPR are used to analyze the effects of incidence angle, roughness, TiO 2 , and rock abundance on the scattering components. The CPR, <inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula> of PSR craters of different ages are compared with those of nonpolar craters. The results indicate that the CPR, <inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula> are unlikely to be unambiguous evidence of water ice.]]></description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/TGRS.2021.3064091</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Circular polarization ; Circular polarization ratio (CPR) ; Components ; CP SAR ; Data analysis ; decomposition ; Digital Elevation Models ; Digital imaging ; Echoes ; Horizontal polarization ; Ice ; Incidence angle ; Lunar craters ; Lunar surface ; miniature radio frequency (Mini-RF) ; Moon ; Polarimetry ; Polarization ; Radar ; Radar clutter ; Radar echoes ; Radar imaging ; Radio frequency ; Ray tracing ; Rough surfaces ; SAR (radar) ; Scattering ; Simulation ; Statistical analysis ; Statistical methods ; Surface roughness ; Synthetic aperture radar ; Titanium dioxide ; Vertical polarization ; water ice</subject><ispartof>IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-11</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-bc0a00119343ce7a55cbae4c2e06fac9a4a9fc476c394abdb1499647b6b9ec203</citedby><cites>FETCH-LOGICAL-c293t-bc0a00119343ce7a55cbae4c2e06fac9a4a9fc476c394abdb1499647b6b9ec203</cites><orcidid>0000-0002-2015-7406 ; 0000-0001-6666-9151</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9387452$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,4024,27923,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Liu, Niutao</creatorcontrib><creatorcontrib>Jin, Ya-Qiu</creatorcontrib><title>Simulation of Pol-SAR Imaging and Data Analysis of Mini-RF Observation From the Lunar Surface</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description><![CDATA[High circular polarization ratio (CPR) characteristics were found in permanently shaded regions (PSRs) near the lunar poles. High CPR was regarded as a water ice index. The compact-polarimetric (CP) miniature radio frequency (Mini-RF) radar transmits left-circularly polarized signals and receives horizontally polarized (<inline-formula> <tex-math notation="LaTeX">S_{\text {HL}} </tex-math></inline-formula>) and vertically-polarized (<inline-formula> <tex-math notation="LaTeX">S_{\text {VL}} </tex-math></inline-formula>) echoes from the lunar surface. Statistics of the CPR data show its relations with the relative phase (<inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula>) between <inline-formula> <tex-math notation="LaTeX">S_{\text {HL}} </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">S_{\text {VL}} </tex-math></inline-formula> and the degree of polarization (<inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula>) but few interpretations were provided. The average CPR data reach the maximum and minimum at <inline-formula> <tex-math notation="LaTeX">\delta =\pm 90^{\circ } </tex-math></inline-formula>, respectively. As <inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula> becomes very small, the CPR approaches 1. It has been found that CPR is also affected by surface roughness and incidence angle of radar waves. The CPR is now expressed in CP mode to explain the Mini-RF observation. Full-polarimetric radar echoes and CP parameters of the lunar surface are numerically simulated using the bidirectional analytic ray-tracing method. Single-bounce and multiple-bounce scattering components are included in the simulation. Radar images of the lunar crater are simulated with the digital elevation model (DEM) data. The <inline-formula> <tex-math notation="LaTeX">H-\alpha </tex-math></inline-formula> decomposition derived from the full-polarimetric simulation is presented to analyze <inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula>. Simulated radar images with different surface roughness are analyzed statistically to study the functional dependences of <inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">{m} </tex-math></inline-formula>, and CPR on incidence angle and roughness. Relationships among <inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula>, and CPR are used to analyze the effects of incidence angle, roughness, TiO 2 , and rock abundance on the scattering components. The CPR, <inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula> of PSR craters of different ages are compared with those of nonpolar craters. The results indicate that the CPR, <inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula> are unlikely to be unambiguous evidence of water ice.]]></description><subject>Circular polarization</subject><subject>Circular polarization ratio (CPR)</subject><subject>Components</subject><subject>CP SAR</subject><subject>Data analysis</subject><subject>decomposition</subject><subject>Digital Elevation Models</subject><subject>Digital imaging</subject><subject>Echoes</subject><subject>Horizontal polarization</subject><subject>Ice</subject><subject>Incidence angle</subject><subject>Lunar craters</subject><subject>Lunar surface</subject><subject>miniature radio frequency (Mini-RF)</subject><subject>Moon</subject><subject>Polarimetry</subject><subject>Polarization</subject><subject>Radar</subject><subject>Radar clutter</subject><subject>Radar echoes</subject><subject>Radar imaging</subject><subject>Radio frequency</subject><subject>Ray tracing</subject><subject>Rough surfaces</subject><subject>SAR (radar)</subject><subject>Scattering</subject><subject>Simulation</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Surface roughness</subject><subject>Synthetic aperture radar</subject><subject>Titanium dioxide</subject><subject>Vertical polarization</subject><subject>water ice</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNo9kF1LwzAUhoMoOKc_QLwJeN2Zk6QfuRzTzcFkss5LKadZOjPWVpNW2L-3pcOrw4HnfXl5CLkHNgFg6mm72KQTzjhMBIskU3BBRhCGSdB98pKMGKgo4Ini1-TG-wNjIEOIR-QztWV7xMbWFa0L-l4fg3S6ocsS97baU6x29BkbpNMKjydvfQ-92coGmzld59643yE7d3VJmy9DV22FjqatK1CbW3JV4NGbu_Mdk4_5y3b2GqzWi-Vsugo0V6IJcs2wWwRKSKFNjGGoczRSc8OirkahRFVoGUdaKIn5LgepVCTjPMqV0ZyJMXkcer9d_dMa32SHunXdZJ_xCBjELImho2CgtKu9d6bIvp0t0Z0yYFlvMestZr3F7GyxyzwMGWuM-eeVSGIZcvEHKehtLg</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Liu, Niutao</creator><creator>Jin, Ya-Qiu</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>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/0000-0002-2015-7406</orcidid><orcidid>https://orcid.org/0000-0001-6666-9151</orcidid></search><sort><creationdate>2022</creationdate><title>Simulation of Pol-SAR Imaging and Data Analysis of Mini-RF Observation From the Lunar Surface</title><author>Liu, Niutao ; Jin, Ya-Qiu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-bc0a00119343ce7a55cbae4c2e06fac9a4a9fc476c394abdb1499647b6b9ec203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Circular polarization</topic><topic>Circular polarization ratio (CPR)</topic><topic>Components</topic><topic>CP SAR</topic><topic>Data analysis</topic><topic>decomposition</topic><topic>Digital Elevation Models</topic><topic>Digital imaging</topic><topic>Echoes</topic><topic>Horizontal polarization</topic><topic>Ice</topic><topic>Incidence angle</topic><topic>Lunar craters</topic><topic>Lunar surface</topic><topic>miniature radio frequency (Mini-RF)</topic><topic>Moon</topic><topic>Polarimetry</topic><topic>Polarization</topic><topic>Radar</topic><topic>Radar clutter</topic><topic>Radar echoes</topic><topic>Radar imaging</topic><topic>Radio frequency</topic><topic>Ray tracing</topic><topic>Rough surfaces</topic><topic>SAR (radar)</topic><topic>Scattering</topic><topic>Simulation</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Surface roughness</topic><topic>Synthetic aperture radar</topic><topic>Titanium dioxide</topic><topic>Vertical polarization</topic><topic>water ice</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Niutao</creatorcontrib><creatorcontrib>Jin, Ya-Qiu</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>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</fulltext></delivery><addata><au>Liu, Niutao</au><au>Jin, Ya-Qiu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simulation of Pol-SAR Imaging and Data Analysis of Mini-RF Observation From the Lunar Surface</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><date>2022</date><risdate>2022</risdate><volume>60</volume><spage>1</spage><epage>11</epage><pages>1-11</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract><![CDATA[High circular polarization ratio (CPR) characteristics were found in permanently shaded regions (PSRs) near the lunar poles. High CPR was regarded as a water ice index. The compact-polarimetric (CP) miniature radio frequency (Mini-RF) radar transmits left-circularly polarized signals and receives horizontally polarized (<inline-formula> <tex-math notation="LaTeX">S_{\text {HL}} </tex-math></inline-formula>) and vertically-polarized (<inline-formula> <tex-math notation="LaTeX">S_{\text {VL}} </tex-math></inline-formula>) echoes from the lunar surface. Statistics of the CPR data show its relations with the relative phase (<inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula>) between <inline-formula> <tex-math notation="LaTeX">S_{\text {HL}} </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">S_{\text {VL}} </tex-math></inline-formula> and the degree of polarization (<inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula>) but few interpretations were provided. The average CPR data reach the maximum and minimum at <inline-formula> <tex-math notation="LaTeX">\delta =\pm 90^{\circ } </tex-math></inline-formula>, respectively. As <inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula> becomes very small, the CPR approaches 1. It has been found that CPR is also affected by surface roughness and incidence angle of radar waves. The CPR is now expressed in CP mode to explain the Mini-RF observation. Full-polarimetric radar echoes and CP parameters of the lunar surface are numerically simulated using the bidirectional analytic ray-tracing method. Single-bounce and multiple-bounce scattering components are included in the simulation. Radar images of the lunar crater are simulated with the digital elevation model (DEM) data. The <inline-formula> <tex-math notation="LaTeX">H-\alpha </tex-math></inline-formula> decomposition derived from the full-polarimetric simulation is presented to analyze <inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula>. Simulated radar images with different surface roughness are analyzed statistically to study the functional dependences of <inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">{m} </tex-math></inline-formula>, and CPR on incidence angle and roughness. Relationships among <inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula>, and CPR are used to analyze the effects of incidence angle, roughness, TiO 2 , and rock abundance on the scattering components. The CPR, <inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula> of PSR craters of different ages are compared with those of nonpolar craters. The results indicate that the CPR, <inline-formula> <tex-math notation="LaTeX">m </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">\delta </tex-math></inline-formula> are unlikely to be unambiguous evidence of water ice.]]></abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TGRS.2021.3064091</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-2015-7406</orcidid><orcidid>https://orcid.org/0000-0001-6666-9151</orcidid></addata></record> |
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subjects | Circular polarization Circular polarization ratio (CPR) Components CP SAR Data analysis decomposition Digital Elevation Models Digital imaging Echoes Horizontal polarization Ice Incidence angle Lunar craters Lunar surface miniature radio frequency (Mini-RF) Moon Polarimetry Polarization Radar Radar clutter Radar echoes Radar imaging Radio frequency Ray tracing Rough surfaces SAR (radar) Scattering Simulation Statistical analysis Statistical methods Surface roughness Synthetic aperture radar Titanium dioxide Vertical polarization water ice |
title | Simulation of Pol-SAR Imaging and Data Analysis of Mini-RF Observation From the Lunar Surface |
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