{"id":"https://openalex.org/W2901605794","doi":"https://doi.org/10.1109/igarss.2018.8519393","title":"Circular Relevance Feedback for Remote Sensing Image Retrieval","display_name":"Circular Relevance Feedback for Remote Sensing Image Retrieval","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901605794","doi":"https://doi.org/10.1109/igarss.2018.8519393","mag":"2901605794"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8519393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8519393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","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/A5059262797","display_name":"Xu Tang","orcid":"https://orcid.org/0000-0003-1375-0778"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Tang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi\u2019 an, Shaanxi, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi' an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi\u2019 an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi' an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049776440","display_name":"Xiangrong Zhang","orcid":"https://orcid.org/0000-0003-0379-2042"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangrong Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi\u2019 an, Shaanxi, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi' an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi\u2019 an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi' an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453033","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0001-9752-9530"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi\u2019 an, Shaanxi, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi' an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi\u2019 an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi' an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi\u2019 an, Shaanxi, China","Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi' an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi\u2019 an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi' an, Shaanxi, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059262797"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.46878767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"8953","last_page":"8956"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9993000030517578,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.8316378593444824},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7006572484970093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6483428478240967},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6371130347251892},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48027873039245605},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46550896763801575},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44660714268684387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36806848645210266},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3528957664966583},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12531939148902893}],"concepts":[{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.8316378593444824},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7006572484970093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6483428478240967},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6371130347251892},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48027873039245605},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46550896763801575},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44660714268684387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36806848645210266},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3528957664966583},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12531939148902893},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8519393","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8519393","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1555459384","https://openalex.org/W1981413807","https://openalex.org/W1989316905","https://openalex.org/W2101927381","https://openalex.org/W2111993661","https://openalex.org/W2115799903","https://openalex.org/W2153635508","https://openalex.org/W2165484066","https://openalex.org/W2248723555","https://openalex.org/W2249017129","https://openalex.org/W2590149631","https://openalex.org/W2736154721","https://openalex.org/W4285719527","https://openalex.org/W6653695713"],"related_works":["https://openalex.org/W1973132420","https://openalex.org/W1536471031","https://openalex.org/W2293311120","https://openalex.org/W2292718061","https://openalex.org/W2978691715","https://openalex.org/W2047710669","https://openalex.org/W2058238168","https://openalex.org/W2064149692","https://openalex.org/W2060898520","https://openalex.org/W2088097596"],"abstract_inverted_index":{"Relevance":[0],"feedback":[1,36],"(RF)":[2],"is":[3,131],"a":[4,29,112],"popular":[5],"reranking":[6],"technique,":[7],"which":[8],"aims":[9],"at":[10],"improving":[11],"the":[12,19,40,50,55,61,68,71,82,97,102,121,135],"performance":[13,136],"of":[14,42,49,104,137],"image":[15,45,125],"retrieval":[16,46],"by":[17],"taking":[18],"user's":[20],"opinions":[21],"into":[22],"account.":[23],"In":[24,139],"this":[25],"paper,":[26],"we":[27,59,90],"introduce":[28],"new":[30],"RF":[31,57,77,99,107,145],"method,":[32,58],"named":[33],"circular":[34,113],"relevance":[35],"(CRF),":[37],"to":[38,66,80,95],"enhance":[39],"behavior":[41],"remote":[43],"sensing":[44],"(RSIR).":[47],"Instead":[48],"manual":[51],"selection":[52],"used":[53],"in":[54,75],"common":[56],"adopt":[60],"active":[62],"learning":[63],"(AL)":[64],"algorithm":[65],"select":[67],"samples":[69],"from":[70],"initial":[72],"results":[73,119],"automatically":[74],"each":[76],"iteration.":[78],"Moreover,":[79],"ensure":[81],"selected":[83],"images":[84],"are":[85,109],"representative":[86],"and":[87],"informative":[88],"enough,":[89],"choose":[91],"different":[92,98],"AL":[93],"algorithms":[94],"complete":[96],"processes.":[100],"Finally,":[101],"contributions":[103],"all":[105],"AL-driven":[106],"methods":[108],"integrated":[110],"using":[111],"fusion":[114],"scheme.":[115],"The":[116],"encouraging":[117],"experimental":[118],"on":[120],"ground":[122],"truth":[123],"RS":[124],"archive":[126],"illustrate":[127],"that":[128],"our":[129,147],"CRF":[130,148],"useful":[132],"for":[133],"enhancing":[134],"RSIR.":[138],"addition,":[140],"compared":[141],"with":[142],"many":[143],"existing":[144],"methods,":[146],"achieves":[149],"improved":[150],"behavior.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}