Polarimetric laser radar target classification
Imaging laser radar (ladar) systems have been developed for automatic target identification in surveillance systems. Ladar uses the range value at the target pixels to estimate the target's 3-D shape and identify the target. For targets in clutter and partially hidden targets, there are ambigui...
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| Veröffentlicht in: | Optics letters 2005-07, Vol.30 (14), p.1806-1808 |
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| container_title | Optics letters |
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| creator | CHUN, Cornell S. L SADJADI, Firooz A |
| description | Imaging laser radar (ladar) systems have been developed for automatic target identification in surveillance systems. Ladar uses the range value at the target pixels to estimate the target's 3-D shape and identify the target. For targets in clutter and partially hidden targets, there are ambiguities in determining which pixels are on target that lead to uncertainties in determining the target's 3-D shape. An improvement is to use the polarization components of the reflected light. We describe the operation and preliminary evaluation of a polarization diverse imaging ladar system. Using a combination of intensity, range, and degree of polarization, we are better able to identify and distinguish the target from other objects of the same class. |
| doi_str_mv | 10.1364/OL.30.001806 |
| format | Article |
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L</creatorcontrib><creatorcontrib>SADJADI, Firooz A</creatorcontrib><title>Polarimetric laser radar target classification</title><title>Optics letters</title><addtitle>Opt Lett</addtitle><description>Imaging laser radar (ladar) systems have been developed for automatic target identification in surveillance systems. Ladar uses the range value at the target pixels to estimate the target's 3-D shape and identify the target. For targets in clutter and partially hidden targets, there are ambiguities in determining which pixels are on target that lead to uncertainties in determining the target's 3-D shape. An improvement is to use the polarization components of the reflected light. We describe the operation and preliminary evaluation of a polarization diverse imaging ladar system. Using a combination of intensity, range, and degree of polarization, we are better able to identify and distinguish the target from other objects of the same class.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Artificial Intelligence</subject><subject>Cluster Analysis</subject><subject>Exact sciences and technology</subject><subject>Fundamental areas of phenomenology (including applications)</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Imaging and optical processing</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Information Storage and Retrieval - methods</subject><subject>Instruments, apparatus, components and techniques common to several branches of physics and astronomy</subject><subject>Lasers</subject><subject>Optical instruments, equipment and techniques</subject><subject>Optics</subject><subject>Pattern recognition</subject><subject>Pattern Recognition, Automated - methods</subject><subject>Physics</subject><subject>Polarimeters and ellipsometers</subject><subject>Radar</subject><subject>Refractometry - methods</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Services and terminals of telecommunications</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Telemetry. Remote supervision. Telewarning. Remote control</subject><subject>Telemetry: remote control, remote sensing; radar</subject><issn>0146-9592</issn><issn>1539-4794</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpN0M1Lw0AQBfBFFFurN8-Si55MnNmvZI9S_IJAPeh5mWw2Ekmbupse_O-b0oCeBoYfD95j7BohQ6Hlw6rMBGQAWIA-YXNUwqQyN_KUzQGlTo0yfMYuYvwGAJ0Lcc5mqMFwoficZe99R6Fd-yG0Luko-pAEqikkA4UvPyRu_MW2aR0Nbb-5ZGcNddFfTXfBPp-fPpavabl6eVs-lqkTmg-p1DV5BCdqKXnDK4NKVxVUqGpX1YUy2HhURYMcKll7oAKkFyhyIR1BTmLB7o6529D_7Hwc7LqNzncdbXy_i1YXUmuucIT3R-hCH2Pwjd2ObSj8WgR72MeuSivAHvcZ-c2Uu6vWvv7D0yAjuJ0ARUddE2jj2vjPGSUObg8namwE</recordid><startdate>20050715</startdate><enddate>20050715</enddate><creator>CHUN, Cornell S. 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L ; SADJADI, Firooz A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-46dae10c3d442f2b9156bb0b15dcbd8591fe158f120b4de0a804e313734ca07a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Algorithms</topic><topic>Applied sciences</topic><topic>Artificial Intelligence</topic><topic>Cluster Analysis</topic><topic>Exact sciences and technology</topic><topic>Fundamental areas of phenomenology (including applications)</topic><topic>Image Enhancement - methods</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Imaging and optical processing</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Information Storage and Retrieval - methods</topic><topic>Instruments, apparatus, components and techniques common to several branches of physics and astronomy</topic><topic>Lasers</topic><topic>Optical instruments, equipment and techniques</topic><topic>Optics</topic><topic>Pattern recognition</topic><topic>Pattern Recognition, Automated - methods</topic><topic>Physics</topic><topic>Polarimeters and ellipsometers</topic><topic>Radar</topic><topic>Refractometry - methods</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Services and terminals of telecommunications</topic><topic>Systems, networks and services of telecommunications</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Telemetry. Remote supervision. Telewarning. Remote control</topic><topic>Telemetry: remote control, remote sensing; radar</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>CHUN, Cornell S. L</creatorcontrib><creatorcontrib>SADJADI, Firooz A</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Optics letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>CHUN, Cornell S. L</au><au>SADJADI, Firooz A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Polarimetric laser radar target classification</atitle><jtitle>Optics letters</jtitle><addtitle>Opt Lett</addtitle><date>2005-07-15</date><risdate>2005</risdate><volume>30</volume><issue>14</issue><spage>1806</spage><epage>1808</epage><pages>1806-1808</pages><issn>0146-9592</issn><eissn>1539-4794</eissn><coden>OPLEDP</coden><abstract>Imaging laser radar (ladar) systems have been developed for automatic target identification in surveillance systems. Ladar uses the range value at the target pixels to estimate the target's 3-D shape and identify the target. For targets in clutter and partially hidden targets, there are ambiguities in determining which pixels are on target that lead to uncertainties in determining the target's 3-D shape. An improvement is to use the polarization components of the reflected light. We describe the operation and preliminary evaluation of a polarization diverse imaging ladar system. Using a combination of intensity, range, and degree of polarization, we are better able to identify and distinguish the target from other objects of the same class.</abstract><cop>Washington, DC</cop><pub>Optical Society of America</pub><pmid>16092352</pmid><doi>10.1364/OL.30.001806</doi><tpages>3</tpages></addata></record> |
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| ispartof | Optics letters, 2005-07, Vol.30 (14), p.1806-1808 |
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| source | MEDLINE; Optica Publishing Group Journals |
| subjects | Algorithms Applied sciences Artificial Intelligence Cluster Analysis Exact sciences and technology Fundamental areas of phenomenology (including applications) Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Imaging and optical processing Imaging, Three-Dimensional - methods Information Storage and Retrieval - methods Instruments, apparatus, components and techniques common to several branches of physics and astronomy Lasers Optical instruments, equipment and techniques Optics Pattern recognition Pattern Recognition, Automated - methods Physics Polarimeters and ellipsometers Radar Refractometry - methods Reproducibility of Results Sensitivity and Specificity Services and terminals of telecommunications Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Telemetry. Remote supervision. Telewarning. Remote control Telemetry: remote control, remote sensing radar |
| title | Polarimetric laser radar target classification |
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