{"id":"https://openalex.org/W2113892256","doi":"https://doi.org/10.1109/igarss.2003.1295239","title":"Automated feature selection through relevance feedback","display_name":"Automated feature selection through relevance feedback","publication_year":2004,"publication_date":"2004-06-21","ids":{"openalex":"https://openalex.org/W2113892256","doi":"https://doi.org/10.1109/igarss.2003.1295239","mag":"2113892256"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2003.1295239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2003.1295239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033026453","display_name":"Carsten Tusk","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126054","display_name":"Strategic Insight (United States)","ror":"https://ror.org/0303r7956","country_code":"US","type":"company","lineage":["https://openalex.org/I4210126054"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Tusk","raw_affiliation_strings":["Insightful Corporation, Seattle, WA, USA","Insightful Corp., Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insightful Corporation, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210126054"]},{"raw_affiliation_string":"Insightful Corp., Seattle, WA, USA","institution_ids":["https://openalex.org/I4210126054"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109431736","display_name":"K. Koperski","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126054","display_name":"Strategic Insight (United States)","ror":"https://ror.org/0303r7956","country_code":"US","type":"company","lineage":["https://openalex.org/I4210126054"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. Koperski","raw_affiliation_strings":["Insightful Corporation, Seattle, WA, USA","Insightful Corp., Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insightful Corporation, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210126054"]},{"raw_affiliation_string":"Insightful Corp., Seattle, WA, USA","institution_ids":["https://openalex.org/I4210126054"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003826893","display_name":"Selim Aksoy","orcid":"https://orcid.org/0000-0003-4185-0565"},"institutions":[{"id":"https://openalex.org/I4210126054","display_name":"Strategic Insight (United States)","ror":"https://ror.org/0303r7956","country_code":"US","type":"company","lineage":["https://openalex.org/I4210126054"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Aksoy","raw_affiliation_strings":["Insightful Corporation, Seattle, WA, USA","Insightful Corp., Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insightful Corporation, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210126054"]},{"raw_affiliation_string":"Insightful Corp., Seattle, WA, USA","institution_ids":["https://openalex.org/I4210126054"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049009088","display_name":"Giovanni Marchisio","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126054","display_name":"Strategic Insight (United States)","ror":"https://ror.org/0303r7956","country_code":"US","type":"company","lineage":["https://openalex.org/I4210126054"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. Marchisio","raw_affiliation_strings":["Insightful Corporation, Seattle, WA, USA","Insightful Corp., Seattle, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Insightful Corporation, Seattle, WA, USA","institution_ids":["https://openalex.org/I4210126054"]},{"raw_affiliation_string":"Insightful Corp., Seattle, WA, USA","institution_ids":["https://openalex.org/I4210126054"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210126054"],"apc_list":null,"apc_paid":null,"fwci":0.2378,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.44059986,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"3691","last_page":"3693"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7545396089553833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7323486804962158},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.7047077417373657},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6202000379562378},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.572047233581543},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5657116174697876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41565772891044617},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3222414255142212}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7545396089553833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7323486804962158},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.7047077417373657},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6202000379562378},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.572047233581543},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5657116174697876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41565772891044617},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3222414255142212},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2003.1295239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2003.1295239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.652.6946","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.652.6946","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bilkent.edu.tr/%7Esaksoy/papers/igarss03_feature_selection.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W73128518","https://openalex.org/W2103203315","https://openalex.org/W2132025711","https://openalex.org/W4285719527","https://openalex.org/W6679293086"],"related_works":["https://openalex.org/W1921936017","https://openalex.org/W1971071004","https://openalex.org/W2009716188","https://openalex.org/W1518380457","https://openalex.org/W2001985945","https://openalex.org/W1973132420","https://openalex.org/W2078482661","https://openalex.org/W1968222678","https://openalex.org/W2460037195","https://openalex.org/W2134013435"],"abstract_inverted_index":{"The":[0,69,109,178,304,333],"VisiMine":[1,70,110],"project":[2],"aims":[3],"to":[4,131,312],"provide":[5],"infrastructure":[6],"that":[7,29,52,99,120,170,182,291],"would":[8,53,277],"enable":[9],"the":[10,25,33,45,50,60,63,85,91,95,101,132,137,157,160,165,183,189,213,230,264,316,337],"analysis":[11,133,217],"of":[12,27,32,41,49,59,65,76,84,94,97,114,118,126,134,143,159,175,185,193,200,205,223,232,235,257,274,296,318,325,336],"large":[13,116],"databases":[14,64],"containing":[15],"satellite":[16,127,282],"images.":[17,68],"Our":[18],"work":[19],"addresses":[20],"two":[21],"issues.":[22],"One":[23,83],"is":[24,44,90],"extraction":[26,113],"information":[28,88,161],"enables":[30,112],"reduction":[31],"data":[34,106,141,148,341],"from":[35,62],"multi-spectral":[36],"images":[37],"into":[38],"a":[39,105,115,172,247,322],"number":[40,117],"features.":[42],"Second":[43],"organization":[46],"and":[47,56,81,123,191,209,238,254,300,347],"selection":[48,273,295],"features":[51,98,119,187,211,240,253,297,326],"allow":[54,292],"flexible":[55],"scalable":[57],"discovery":[58],"knowledge":[61],"remotely":[66],"sensed":[67],"architecture":[71],"distinguishes":[72],"between":[73],"three":[74],"types":[75,199],"feature":[77,275],"vectors:":[78],"pixel,":[79],"region":[80,299],"tile.":[82],"challenges":[86],"in":[87,129,315,330,344],"retrieval":[89,162],"proper":[92],"choice":[93],"set":[96,174],"are":[100,267],"best":[102,214],"suited":[103],"for":[104,197,281,293,298,309,320],"mining":[107],"task.":[108],"system":[111,138],"describe":[121],"textural":[122,210,237],"spectral":[124],"properties":[125,145],"information,":[128,136],"addition":[130],"image":[135,144,176,224,258,265,283],"can":[139],"perform":[140],"fusion":[142],"with":[146,164,243,339],"auxiliary":[147,244],"such":[149],"as":[150,227,229],"DEM.":[151],"Tilton":[152],"et":[153],"al.":[154],"(2002)":[155],"presented":[156,180],"results":[158,179,335],"experiments":[163,338],"Hierarchical":[166],"Segmentation":[167],"(HSEG)":[168],"algorithm":[169],"produces":[171],"hierarchical":[173],"segmentations.":[177],"showed":[181],"use":[184,231],"HSEG":[186,206],"improves":[188],"precision":[190,346],"recall":[192,348],"similarity":[194,302],"searches.":[195,303],"However,":[196],"different":[198,203,221,233,252,255],"land":[201],"cover,":[202],"combinations":[204],"segmentation":[207,225,259],"levels":[208,222,256],"provided":[212],"results.":[215],"Image":[216],"applications":[218],"often":[219],"require":[220,251],"detail":[226,260],"well":[228],"mixes":[234],"spectral,":[236],"shape":[239],"combined":[241],"together":[242],"information.":[245],"Furthermore,":[246],"particular":[248],"application":[249],"may":[250,327],"depending":[261],"on":[262],"how":[263],"objects":[266],"being":[268],"analyzed.":[269],"Thus,":[270],"an":[271],"automatic":[272,294],"sets":[276],"be":[278,313,328],"very":[279],"useful":[280],"analysis.":[284],"In":[285],"this":[286],"paper,":[287],"we":[288],"present":[289],"algorithms":[290],"tile":[301],"relevance":[305],"feedback":[306],"technique":[307],"allows":[308],"selective":[310],"choices":[311],"made":[314],"region(s)":[317],"interest":[319],"which":[321],"good":[323],"subset":[324],"found":[329],"real":[331],"time.":[332],"preliminary":[334],"LANDSAT":[340],"show":[342],"improvements":[343],"both":[345],"over":[349],"previously":[350],"used":[351],"methods.":[352]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
