SPRI: simulator of polarimetric radar images
Simulator of polarimetric radar images (SPRI) consists of a suite of image processing programs for producing realistic millimeter-wave (MMW) radar images artificially on a workstation. The heart of the simulation approach is a polarimetric Rayleigh clutter simulator coupled to a clutter database. Th...
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| Veröffentlicht in: | IEEE transactions on aerospace and electronic systems 2002-01, Vol.38 (1), p.251-261 |
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| container_title | IEEE transactions on aerospace and electronic systems |
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| creator | De Roo, R.D. Munn, J. Pierce, L.E. Nashashibi, A.Y. Ulaby, F.T. Samples, G.S. |
| description | Simulator of polarimetric radar images (SPRI) consists of a suite of image processing programs for producing realistic millimeter-wave (MMW) radar images artificially on a workstation. The heart of the simulation approach is a polarimetric Rayleigh clutter simulator coupled to a clutter database. The simulator produces high resolution single-look polarimetric images. Hard targets can then be embedded into this clutter map, and the resultant image can be degraded in resolution, number of looks, polarization, etc. to match that which would be observed by a real sensor. Examples of simulated images, and comparisons of these simulations to actual images, are presented. The MMW Clutter Database is the most comprehensive to-date database of over 3500 Mueller matrices for many kinds of terrestrial clutter measured at 35 and 95 GHz, many of which are at incidence angles close to grazing. The database can be accessed via a World Wide Web flexible interface that enables data to be combined in new and unique ways specified by the user, and displayed in either tabular or graphical format. The structure and access procedure to the database are described. |
| doi_str_mv | 10.1109/7.993244 |
| format | Article |
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The heart of the simulation approach is a polarimetric Rayleigh clutter simulator coupled to a clutter database. The simulator produces high resolution single-look polarimetric images. Hard targets can then be embedded into this clutter map, and the resultant image can be degraded in resolution, number of looks, polarization, etc. to match that which would be observed by a real sensor. Examples of simulated images, and comparisons of these simulations to actual images, are presented. The MMW Clutter Database is the most comprehensive to-date database of over 3500 Mueller matrices for many kinds of terrestrial clutter measured at 35 and 95 GHz, many of which are at incidence angles close to grazing. The database can be accessed via a World Wide Web flexible interface that enables data to be combined in new and unique ways specified by the user, and displayed in either tabular or graphical format. The structure and access procedure to the database are described.</description><identifier>ISSN: 0018-9251</identifier><identifier>EISSN: 1557-9603</identifier><identifier>DOI: 10.1109/7.993244</identifier><identifier>CODEN: IEARAX</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Air traffic control ; Clutter ; Degradation ; Heart ; Image databases ; Image processing ; Image resolution ; Millimeter wave radar ; Radar ; Radar imaging ; Radar polarimetry ; Simulation ; Websites ; Workstations ; World Wide Web</subject><ispartof>IEEE transactions on aerospace and electronic systems, 2002-01, Vol.38 (1), p.251-261</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2002</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c430t-7b0cf3ba1662efb3336321914b3172d1d62451922da05eaaaac5890abf91a19d3</citedby><cites>FETCH-LOGICAL-c430t-7b0cf3ba1662efb3336321914b3172d1d62451922da05eaaaac5890abf91a19d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/993244$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>315,781,785,797,27928,27929,54762</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/993244$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>De Roo, R.D.</creatorcontrib><creatorcontrib>Munn, J.</creatorcontrib><creatorcontrib>Pierce, L.E.</creatorcontrib><creatorcontrib>Nashashibi, A.Y.</creatorcontrib><creatorcontrib>Ulaby, F.T.</creatorcontrib><creatorcontrib>Samples, G.S.</creatorcontrib><title>SPRI: simulator of polarimetric radar images</title><title>IEEE transactions on aerospace and electronic systems</title><addtitle>T-AES</addtitle><description>Simulator of polarimetric radar images (SPRI) consists of a suite of image processing programs for producing realistic millimeter-wave (MMW) radar images artificially on a workstation. The heart of the simulation approach is a polarimetric Rayleigh clutter simulator coupled to a clutter database. The simulator produces high resolution single-look polarimetric images. Hard targets can then be embedded into this clutter map, and the resultant image can be degraded in resolution, number of looks, polarization, etc. to match that which would be observed by a real sensor. Examples of simulated images, and comparisons of these simulations to actual images, are presented. The MMW Clutter Database is the most comprehensive to-date database of over 3500 Mueller matrices for many kinds of terrestrial clutter measured at 35 and 95 GHz, many of which are at incidence angles close to grazing. The database can be accessed via a World Wide Web flexible interface that enables data to be combined in new and unique ways specified by the user, and displayed in either tabular or graphical format. The structure and access procedure to the database are described.</description><subject>Air traffic control</subject><subject>Clutter</subject><subject>Degradation</subject><subject>Heart</subject><subject>Image databases</subject><subject>Image processing</subject><subject>Image resolution</subject><subject>Millimeter wave radar</subject><subject>Radar</subject><subject>Radar imaging</subject><subject>Radar polarimetry</subject><subject>Simulation</subject><subject>Websites</subject><subject>Workstations</subject><subject>World Wide Web</subject><issn>0018-9251</issn><issn>1557-9603</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqF0UtLxDAQB_AgCq6r4NlT8aAe7JrJo8l4k8XHwoLi4xzSNpUu7XZN2oPf3kjFgwc3lyHMj4H5DyHHQGcAFK_UDJEzIXbIBKRUKWaU75IJpaBTZBL2yUEIq_gVWvAJuXx5el5cJ6Fuh8b2nU-6Ktl0jfV163pfF4m3pfVJ3dp3Fw7JXmWb4I5-6pS83d2-zh_S5eP9Yn6zTAvBaZ-qnBYVzy1kGXNVzjnPOAMEkXNQrIQyY0ICMlZaKp2Nr5Aaqc0rBAtY8ik5H-dufPcxuNCbtg6Faxq7dt0QDFKFEiXIKM_-lQyplEyo7VBnIACz7VApzrWiEZ7-gatu8OuYi9ExWs3jghFdjKjwXQjeVWYTk7X-0wA13_cyyoz3ivRkpLVz7pf9NL8AQxaMRA</recordid><startdate>200201</startdate><enddate>200201</enddate><creator>De Roo, R.D.</creator><creator>Munn, J.</creator><creator>Pierce, L.E.</creator><creator>Nashashibi, A.Y.</creator><creator>Ulaby, F.T.</creator><creator>Samples, G.S.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope><scope>F28</scope></search><sort><creationdate>200201</creationdate><title>SPRI: simulator of polarimetric radar images</title><author>De Roo, R.D. ; Munn, J. ; Pierce, L.E. ; Nashashibi, A.Y. ; Ulaby, F.T. ; Samples, G.S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c430t-7b0cf3ba1662efb3336321914b3172d1d62451922da05eaaaac5890abf91a19d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Air traffic control</topic><topic>Clutter</topic><topic>Degradation</topic><topic>Heart</topic><topic>Image databases</topic><topic>Image processing</topic><topic>Image resolution</topic><topic>Millimeter wave radar</topic><topic>Radar</topic><topic>Radar imaging</topic><topic>Radar polarimetry</topic><topic>Simulation</topic><topic>Websites</topic><topic>Workstations</topic><topic>World Wide Web</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>De Roo, R.D.</creatorcontrib><creatorcontrib>Munn, J.</creatorcontrib><creatorcontrib>Pierce, L.E.</creatorcontrib><creatorcontrib>Nashashibi, A.Y.</creatorcontrib><creatorcontrib>Ulaby, F.T.</creatorcontrib><creatorcontrib>Samples, G.S.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on aerospace and electronic systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>De Roo, R.D.</au><au>Munn, J.</au><au>Pierce, L.E.</au><au>Nashashibi, A.Y.</au><au>Ulaby, F.T.</au><au>Samples, G.S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SPRI: simulator of polarimetric radar images</atitle><jtitle>IEEE transactions on aerospace and electronic systems</jtitle><stitle>T-AES</stitle><date>2002-01</date><risdate>2002</risdate><volume>38</volume><issue>1</issue><spage>251</spage><epage>261</epage><pages>251-261</pages><issn>0018-9251</issn><eissn>1557-9603</eissn><coden>IEARAX</coden><abstract>Simulator of polarimetric radar images (SPRI) consists of a suite of image processing programs for producing realistic millimeter-wave (MMW) radar images artificially on a workstation. The heart of the simulation approach is a polarimetric Rayleigh clutter simulator coupled to a clutter database. The simulator produces high resolution single-look polarimetric images. Hard targets can then be embedded into this clutter map, and the resultant image can be degraded in resolution, number of looks, polarization, etc. to match that which would be observed by a real sensor. Examples of simulated images, and comparisons of these simulations to actual images, are presented. The MMW Clutter Database is the most comprehensive to-date database of over 3500 Mueller matrices for many kinds of terrestrial clutter measured at 35 and 95 GHz, many of which are at incidence angles close to grazing. The database can be accessed via a World Wide Web flexible interface that enables data to be combined in new and unique ways specified by the user, and displayed in either tabular or graphical format. The structure and access procedure to the database are described.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/7.993244</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Air traffic control Clutter Degradation Heart Image databases Image processing Image resolution Millimeter wave radar Radar Radar imaging Radar polarimetry Simulation Websites Workstations World Wide Web |
| title | SPRI: simulator of polarimetric radar images |
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