Numeric and symbolic data combination for satellite image interpretation
Describes an algorithm allowing cooperation of different approaches and various data sources (image and out-image data) for classification purposes. The authors take into account expert knowledge about the context of each searched class, this context being described using out-image data (Digital Ele...
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container_end_page | 1706 vol.4 |
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container_volume | ol. 4 |
creator | Zahzah, H.E. Desachy, T. |
description | Describes an algorithm allowing cooperation of different approaches and various data sources (image and out-image data) for classification purposes. The authors take into account expert knowledge about the context of each searched class, this context being described using out-image data (Digital Elevation Model, soil map, roads...eventually a Geographical Information System). The expert knowledge is expressed using terms showing uncertainty or frequency value about contexts for the classes. This knowledge is used to produce for each point potentiality degrees for all searched classes. This set of potentiality degrees is considered as one information source (based on expert knowledge and related out-image data). The authors then consider that they have two information sources about the searched classes (potentiality degrees and belonging degrees) to reach the final decision. The combination process uses a Mycinlike certainty factors method or Dempster-Shafer orthogonal rule for combination of uncertain information sources. This approach is used to resolve a particular problem in the frame of a geographical information system and to produce a potentiality map.< > |
doi_str_mv | 10.1109/IGARSS.1993.322434 |
format | Conference Proceeding |
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This approach is used to resolve a particular problem in the frame of a geographical information system and to produce a potentiality map.< ></description><subject>Electronic mail</subject><subject>Expert systems</subject><subject>Frequency</subject><subject>Image resolution</subject><subject>Information systems</subject><subject>Production</subject><subject>Satellites</subject><subject>Soil</subject><subject>Spatial resolution</subject><subject>Vegetation mapping</subject><isbn>0780312406</isbn><isbn>9780780312401</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1993</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkEtrwzAQhAWl0DbNH8jJp97s6mXJOobQJoHQQtOejSyviopfleRD_n1FnTnsMsvHMgxCG4ILQrB6Pu63H-dzQZRiBaOUM36DHrCsMCOUY3GH1iH84CReYsHLe3R4m3vwzmR6aLNw6ZuxS6bVUWdm7Bs36OjGIbOjz4KO0HUuQuZ6_Z3mEMFPHuI_8ohure4CrK97hb5eXz53h_z0vj_utqfcUcxiTttKWkUtViUXShoMxCpVmXQhrJTSCsIVNlIyUVpljWpkVTXEUM4rsMSwFXpa_k5-_J0hxLp3waRgeoBxDjUVhHFKZAI3C-gAoJ58Cu0v9VIK-wMBU1fh</recordid><startdate>1993</startdate><enddate>1993</enddate><creator>Zahzah, H.E.</creator><creator>Desachy, T.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>1993</creationdate><title>Numeric and symbolic data combination for satellite image interpretation</title><author>Zahzah, H.E. ; Desachy, T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i203t-2d87f92f0954697c0e1f998c2f013577f61490c77365f9fc9b788b1c2448ef1c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1993</creationdate><topic>Electronic mail</topic><topic>Expert systems</topic><topic>Frequency</topic><topic>Image resolution</topic><topic>Information systems</topic><topic>Production</topic><topic>Satellites</topic><topic>Soil</topic><topic>Spatial resolution</topic><topic>Vegetation mapping</topic><toplevel>online_resources</toplevel><creatorcontrib>Zahzah, H.E.</creatorcontrib><creatorcontrib>Desachy, T.</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/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zahzah, H.E.</au><au>Desachy, T.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Numeric and symbolic data combination for satellite image interpretation</atitle><btitle>IGARSS '93 : 1993 International Geoscience and Remote Sensing Symposium (IGARSS '93) : better understanding of earth environment</btitle><stitle>IGARSS</stitle><date>1993</date><risdate>1993</risdate><volume>ol. 4</volume><spage>1704</spage><epage>1706 vol.4</epage><pages>1704-1706 vol.4</pages><isbn>0780312406</isbn><isbn>9780780312401</isbn><abstract>Describes an algorithm allowing cooperation of different approaches and various data sources (image and out-image data) for classification purposes. 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identifier | ISBN: 0780312406 |
ispartof | IGARSS '93 : 1993 International Geoscience and Remote Sensing Symposium (IGARSS '93) : better understanding of earth environment, 1993, Vol.ol. 4, p.1704-1706 vol.4 |
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language | eng |
recordid | cdi_proquest_miscellaneous_26134217 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Electronic mail Expert systems Frequency Image resolution Information systems Production Satellites Soil Spatial resolution Vegetation mapping |
title | Numeric and symbolic data combination for satellite image interpretation |
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