{"id":"https://openalex.org/W3094666738","doi":"https://doi.org/10.1109/lgrs.2020.3030858","title":"Content-Based Remote Sensing Image Retrieval Based on Fuzzy Rules and a Fuzzy Distance","display_name":"Content-Based Remote Sensing Image Retrieval Based on Fuzzy Rules and a Fuzzy Distance","publication_year":2020,"publication_date":"2020-10-26","ids":{"openalex":"https://openalex.org/W3094666738","doi":"https://doi.org/10.1109/lgrs.2020.3030858","mag":"3094666738"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2020.3030858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.3030858","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5106407132","display_name":"Famao Ye","orcid":"https://orcid.org/0000-0003-1983-7954"},"institutions":[{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Famao Ye","raw_affiliation_strings":["School of Surveying and Mapping Engineering, East China University of Technology, Nanchang, China","Key Laboratory for Digital Land and Resources of Jiangxi Province, East China University of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Mapping Engineering, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674"]},{"raw_affiliation_string":"Key Laboratory for Digital Land and Resources of Jiangxi Province, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090419741","display_name":"Wei Luo","orcid":"https://orcid.org/0000-0002-4711-7543"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Luo","raw_affiliation_strings":["School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110714263","display_name":"Meng Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Dong","raw_affiliation_strings":["School of Information Engineering, Nanchang University, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108866505","display_name":"Dajun Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119674","display_name":"East China University of Technology","ror":"https://ror.org/027385r44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dajun Li","raw_affiliation_strings":["School of Surveying and Mapping Engineering, East China University of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Mapping Engineering, East China University of Technology, Nanchang, China","institution_ids":["https://openalex.org/I4210119674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046155722","display_name":"Weidong Min","orcid":"https://orcid.org/0000-0003-2526-2181"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Min","raw_affiliation_strings":["School of Software, Nanchang University, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Nanchang University, Nanchang, China","institution_ids":["https://openalex.org/I141649914"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5106407132"],"corresponding_institution_ids":["https://openalex.org/I4210119674"],"apc_list":null,"apc_paid":null,"fwci":0.977,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.78559185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"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":0.9991999864578247,"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":0.9991999864578247,"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":0.9973999857902527,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.6517694592475891},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5945271253585815},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5925554037094116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5891075134277344},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5822783708572388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5674455761909485},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5626989603042603},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5563614368438721},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4531087279319763},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4490448236465454},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.4393996596336365},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.41263347864151},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.4049529433250427},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3408587872982025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33432960510253906}],"concepts":[{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.6517694592475891},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5945271253585815},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5925554037094116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5891075134277344},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5822783708572388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5674455761909485},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5626989603042603},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5563614368438721},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4531087279319763},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4490448236465454},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.4393996596336365},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.41263347864151},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.4049529433250427},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3408587872982025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33432960510253906}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2020.3030858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2020.3030858","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4000000059604645,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3070552805","display_name":null,"funder_award_id":"41801288","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5870406515","display_name":null,"funder_award_id":"41261091","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8038993318","display_name":null,"funder_award_id":"41861052","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8102185992","display_name":null,"funder_award_id":"61762061","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W59651660","https://openalex.org/W1967387730","https://openalex.org/W1980038761","https://openalex.org/W2109506130","https://openalex.org/W2194775991","https://openalex.org/W2270443230","https://openalex.org/W2626107033","https://openalex.org/W2734790001","https://openalex.org/W2766671789","https://openalex.org/W2781110478","https://openalex.org/W2843623251","https://openalex.org/W2889420595","https://openalex.org/W2918316070","https://openalex.org/W2919263357","https://openalex.org/W2943507812","https://openalex.org/W3105475654","https://openalex.org/W6637373629","https://openalex.org/W6762014832"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W4242970302","https://openalex.org/W2571050636","https://openalex.org/W1485268022","https://openalex.org/W2331106272","https://openalex.org/W1975005191","https://openalex.org/W3176863924","https://openalex.org/W1542808721","https://openalex.org/W2253053392","https://openalex.org/W173448675"],"abstract_inverted_index":{"The":[0,43,56,69,90,128,146,197],"methods":[1],"in":[2,15,229],"remote":[3],"sensing":[4],"image":[5,81,105,168,172],"retrieval":[6,12,17,37,178,221],"(RSIR)":[7],"usually":[8],"search":[9,30,140,148,155,227],"the":[10,16,28,47,60,72,86,99,125,139,153,162,177,190,194,220,226],"whole":[11],"data":[13,88,205],"set":[14,206],"process,":[18],"which":[19,180],"takes":[20],"much":[21],"time":[22,228],"and":[23,82,102,119,169,189,208],"is":[24,76,106,150,173,181],"unnecessary.":[25],"To":[26],"reduce":[27,225],"overall":[29],"time,":[31],"this":[32],"letter":[33],"proposes":[34],"a":[35,77,103,166,170],"new":[36],"scheme":[38],"based":[39,123],"on":[40,85,124,200],"fuzzy":[41,48,61,92,110,129,135,144,159,163,186],"rules.":[42,160],"proposed":[44,214],"method":[45,215],"calculates":[46],"class":[49,62,84,93,187],"membership":[50,63],"of":[51,202],"images":[52],"using":[53],"two":[54,91,154,195],"ways.":[55],"first":[57],"way":[58],"predicts":[59],"by":[64,152,158],"convolutional":[65],"neural":[66],"network":[67],"(CNN).":[68],"other":[70,232],"uses":[71],"image-to-class":[73],"distance":[74,78,164,192],"that":[75,212],"between":[79,165,193],"an":[80],"each":[83,143],"training":[87],"set.":[89,145],"memberships":[94,188],"are":[95,131],"used":[96,174],"to":[97,134,137,175,184,231],"measure":[98],"classification":[100,114,117,121,126,136],"confidence,":[101],"query":[104,167],"classified":[107],"into":[108],"three":[109],"sets,":[111],"namely,":[112],"\u201clow":[113],"confidence,\u201d":[115,118,122],"\u201cmedium":[116],"\u201chigh":[120],"confidence.":[127],"rules":[130],"built":[132],"according":[133,183],"choose":[138],"space":[141,149],"for":[142],"final":[147],"determined":[151],"spaces":[156],"obtained":[157],"Moreover,":[161],"retrieved":[171],"improve":[176],"performance,":[179],"calculated":[182],"their":[185],"Euclidean":[191],"images.":[196],"experimental":[198],"results":[199],"University":[201],"California,":[203],"Merced":[204],"(UCMD)":[207],"PatternNet":[209],"databases":[210],"show":[211],"our":[213],"can":[216],"not":[217],"only":[218],"enhance":[219],"performance":[222],"but":[223],"also":[224],"comparison":[230],"state-of-the-art":[233],"techniques.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
