A hierarchical expert system for updating forestry maps with Landsat data
This paper reports upon the design of an expert system at the Canada Centre for Remote Sensing for updating maps of forested areas using Landsat imagery. The system is decomposed into a number of specialist experts organized in a hierarchical fashion around a series of blackboards which are used for...
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| Veröffentlicht in: | Proceedings of the IEEE 1985-01, Vol.73 (6), p.1054-1063 |
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| container_issue | 6 |
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| container_title | Proceedings of the IEEE |
| container_volume | 73 |
| creator | Goldberg, M. Goodenough, D.G. Alvo, M. Karam, G.M. |
| description | This paper reports upon the design of an expert system at the Canada Centre for Remote Sensing for updating maps of forested areas using Landsat imagery. The system is decomposed into a number of specialist experts organized in a hierarchical fashion around a series of blackboards which are used for communications between the different levels. At the lowest level in the hierarchy, is an expert which acts as the interface to the low-level, procedural-based, image processing algorithms. A short review of expert systems, with special emphasis on the analysis of remotely sensed imagery, is first given. Various approaches to treating uncertainty in expert systems are then discussed, in particular, the approach based upon the theory of evidence. The forestry map updating problem is described and the classical solution presented. Our hierarchically organized expert system is then presented in the context of this problem. Finally, an expert interface to the image processing algorithms is described. |
| doi_str_mv | 10.1109/PROC.1985.13236 |
| format | Article |
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Finally, an expert interface to the image processing algorithms is described.</description><identifier>ISSN: 0018-9219</identifier><identifier>EISSN: 1558-2256</identifier><identifier>DOI: 10.1109/PROC.1985.13236</identifier><identifier>CODEN: IEEPAD</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Biological and medical sciences ; Biomedical imaging ; Dendrometry. Forest inventory ; Expert systems ; Forestry ; Fundamental and applied biological sciences. 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The system is decomposed into a number of specialist experts organized in a hierarchical fashion around a series of blackboards which are used for communications between the different levels. At the lowest level in the hierarchy, is an expert which acts as the interface to the low-level, procedural-based, image processing algorithms. A short review of expert systems, with special emphasis on the analysis of remotely sensed imagery, is first given. Various approaches to treating uncertainty in expert systems are then discussed, in particular, the approach based upon the theory of evidence. The forestry map updating problem is described and the classical solution presented. Our hierarchically organized expert system is then presented in the context of this problem. Finally, an expert interface to the image processing algorithms is described.</description><subject>Biological and medical sciences</subject><subject>Biomedical imaging</subject><subject>Dendrometry. Forest inventory</subject><subject>Expert systems</subject><subject>Forestry</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Image analysis</subject><subject>Image databases</subject><subject>Image processing</subject><subject>Image segmentation</subject><subject>Medical expert systems</subject><subject>Remote sensing</subject><subject>Satellites</subject><issn>0018-9219</issn><issn>1558-2256</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1985</creationdate><recordtype>article</recordtype><recordid>eNpFkE1Lw0AQhhdRsFbPHrzsQbyl3Y9Mkj2W4kehUJHel-lmY1eSNO6maP-9G1v0NMzwvC_DQ8gtZxPOmZq-vq3mE64KmHApZHZGRhygSISA7JyMGONFogRXl-QqhA_GmIRMjshiRrfOevRm6wzW1H531vc0HEJvG1rtPN13JfaufR8WG3p_oA12gX65fkuX2JYBexoJvCYXFdbB3pzmmKyfHtfzl2S5el7MZ8vEyAz6xFbMQLXJixTKsjQMMEfECoWSpQKOwnDLWJkxMClPWa5Ks8nTeBRFhpjJMXk41nZ-97mPD-nGBWPrGlu72wctUlAcFERwegSN34XgbaU77xr0B82ZHozpwZgejOlfYzFxf6rGEF1UHlvjwl-syBWPAiN2d8Sctfa_NIUcWCp_AE1TdPE</recordid><startdate>19850101</startdate><enddate>19850101</enddate><creator>Goldberg, M.</creator><creator>Goodenough, D.G.</creator><creator>Alvo, M.</creator><creator>Karam, G.M.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>19850101</creationdate><title>A hierarchical expert system for updating forestry maps with Landsat data</title><author>Goldberg, M. ; Goodenough, D.G. ; Alvo, M. ; Karam, G.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-ef0c5fb7845dddc05a7aaafa293d951a2c1e00d605c414079dcb74c1e286aa63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1985</creationdate><topic>Biological and medical sciences</topic><topic>Biomedical imaging</topic><topic>Dendrometry. Forest inventory</topic><topic>Expert systems</topic><topic>Forestry</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Image analysis</topic><topic>Image databases</topic><topic>Image processing</topic><topic>Image segmentation</topic><topic>Medical expert systems</topic><topic>Remote sensing</topic><topic>Satellites</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Goldberg, M.</creatorcontrib><creatorcontrib>Goodenough, D.G.</creatorcontrib><creatorcontrib>Alvo, M.</creatorcontrib><creatorcontrib>Karam, G.M.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications 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><jtitle>Proceedings of the IEEE</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Goldberg, M.</au><au>Goodenough, D.G.</au><au>Alvo, M.</au><au>Karam, G.M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A hierarchical expert system for updating forestry maps with Landsat data</atitle><jtitle>Proceedings of the IEEE</jtitle><stitle>JPROC</stitle><date>1985-01-01</date><risdate>1985</risdate><volume>73</volume><issue>6</issue><spage>1054</spage><epage>1063</epage><pages>1054-1063</pages><issn>0018-9219</issn><eissn>1558-2256</eissn><coden>IEEPAD</coden><abstract>This paper reports upon the design of an expert system at the Canada Centre for Remote Sensing for updating maps of forested areas using Landsat imagery. The system is decomposed into a number of specialist experts organized in a hierarchical fashion around a series of blackboards which are used for communications between the different levels. At the lowest level in the hierarchy, is an expert which acts as the interface to the low-level, procedural-based, image processing algorithms. A short review of expert systems, with special emphasis on the analysis of remotely sensed imagery, is first given. Various approaches to treating uncertainty in expert systems are then discussed, in particular, the approach based upon the theory of evidence. The forestry map updating problem is described and the classical solution presented. Our hierarchically organized expert system is then presented in the context of this problem. Finally, an expert interface to the image processing algorithms is described.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/PROC.1985.13236</doi><tpages>10</tpages></addata></record> |
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| ispartof | Proceedings of the IEEE, 1985-01, Vol.73 (6), p.1054-1063 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Biological and medical sciences Biomedical imaging Dendrometry. Forest inventory Expert systems Forestry Fundamental and applied biological sciences. Psychology Image analysis Image databases Image processing Image segmentation Medical expert systems Remote sensing Satellites |
| title | A hierarchical expert system for updating forestry maps with Landsat data |
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