{"id":"https://openalex.org/W4400275952","doi":"https://doi.org/10.1109/jstars.2024.3421990","title":"ROI-Guided Attention Learning for Remote Sensing Image Retrieval","display_name":"ROI-Guided Attention Learning for Remote Sensing Image Retrieval","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400275952","doi":"https://doi.org/10.1109/jstars.2024.3421990"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3421990","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3421990","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2024.3421990","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100652535","display_name":"Lili Li","orcid":"https://orcid.org/0000-0003-4972-1848"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Li","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-4972-1848","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026466081","display_name":"Guozheng Xu","orcid":"https://orcid.org/0009-0000-2870-602X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guozheng Xu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0000-2870-602X","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107808363","display_name":"Xinyan Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyan Zhou","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0001-3175-1152","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011274467","display_name":"Jian Yao","orcid":"https://orcid.org/0000-0002-9134-5084"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210105229","display_name":"City University of Hong Kong, Shenzhen Research Institute","ror":"https://ror.org/00xc0ma20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105229"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yao","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","Wuhan University Shenzhen Research Institute, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9134-5084","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Wuhan University Shenzhen Research Institute, Shenzhen, China","institution_ids":["https://openalex.org/I4210105229","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.4306,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82368816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"17","issue":null,"first_page":"14752","last_page":"14761"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9991999864578247,"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":0.9944000244140625,"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/computer-science","display_name":"Computer science","score":0.83349609375},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6608930230140686},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5697289705276489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5451592206954956},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5412966012954712},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.5071671009063721},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4881916642189026},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.44758668541908264},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.43486952781677246},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39363425970077515},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38686275482177734},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33136504888534546}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.83349609375},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6608930230140686},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5697289705276489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5451592206954956},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5412966012954712},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.5071671009063721},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4881916642189026},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.44758668541908264},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43486952781677246},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39363425970077515},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38686275482177734},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33136504888534546},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3421990","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3421990","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:af9ab87d531149f6b0a48ca373bb8cc5","is_oa":true,"landing_page_url":"https://doaj.org/article/af9ab87d531149f6b0a48ca373bb8cc5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14752-14761 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3421990","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3421990","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2897154430","display_name":null,"funder_award_id":"U22A2009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G52577230","display_name":null,"funder_award_id":"42271445","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5893548409","display_name":null,"funder_award_id":"2024A1515010218","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1560922506","https://openalex.org/W1977072130","https://openalex.org/W1980038761","https://openalex.org/W2044465660","https://openalex.org/W2108598243","https://openalex.org/W2125148312","https://openalex.org/W2128956605","https://openalex.org/W2144923075","https://openalex.org/W2163352848","https://openalex.org/W2194775991","https://openalex.org/W2340690086","https://openalex.org/W2412588858","https://openalex.org/W2515440612","https://openalex.org/W2530376879","https://openalex.org/W2592962403","https://openalex.org/W2626107033","https://openalex.org/W2886702754","https://openalex.org/W2889420595","https://openalex.org/W2940726923","https://openalex.org/W2945385604","https://openalex.org/W2963256013","https://openalex.org/W2963436667","https://openalex.org/W2965696320","https://openalex.org/W2981537605","https://openalex.org/W2993616601","https://openalex.org/W2997852262","https://openalex.org/W2998052623","https://openalex.org/W3008439211","https://openalex.org/W3011801827","https://openalex.org/W3080167796","https://openalex.org/W3093905312","https://openalex.org/W3096818755","https://openalex.org/W3105079884","https://openalex.org/W3188851454","https://openalex.org/W3198422076","https://openalex.org/W4221086150","https://openalex.org/W4287367114","https://openalex.org/W4296501431","https://openalex.org/W4297810817","https://openalex.org/W4315778358","https://openalex.org/W4360981386","https://openalex.org/W4384820298","https://openalex.org/W4386071807","https://openalex.org/W4390873055","https://openalex.org/W6631190155","https://openalex.org/W6638444622","https://openalex.org/W6753038380","https://openalex.org/W6763760716","https://openalex.org/W6766931891"],"related_works":["https://openalex.org/W2063218608","https://openalex.org/W4386105885","https://openalex.org/W2071180033","https://openalex.org/W2184288218","https://openalex.org/W2947282851","https://openalex.org/W2374066281","https://openalex.org/W4387423606","https://openalex.org/W2036058638","https://openalex.org/W2513891871","https://openalex.org/W2528082075"],"abstract_inverted_index":{"In":[0],"the":[1,8,141,164,167,173,182,187,193,202,216],"burgeoning":[2],"remote":[3,47,63,82,149],"sensing":[4,48,64,83,150],"image":[5,53,138,190,211],"data":[6],"era,":[7],"swift":[9],"and":[10,34,39,73,88,192],"precise":[11],"retrieval":[12,54,90,237],"of":[13,52,108,121,166,197,221],"images":[14,65],"from":[15,68,81,181],"extensive":[16],"databases":[17],"has":[18,92],"emerged":[19],"as":[20,32],"a":[21,94,106,126,133,209],"critical":[22],"challenge.":[23],"This":[24,123],"need":[25],"is":[26,225],"particularly":[27],"pronounced":[28],"in":[29,101,236],"applications":[30],"such":[31],"environmental":[33],"disaster":[35],"monitoring,":[36,42],"resource":[37],"investigation,":[38],"ground":[40],"target":[41,217],"all":[43],"heavily":[44],"reliant":[45],"on":[46,57,230],"images.":[49],"The":[50,169,219],"efficacy":[51,220],"hinges":[55],"significantly":[56],"advanced":[58],"feature":[59],"extraction":[60],"methods.":[61],"However,":[62],"often":[66],"suffer":[67],"disturbances":[69],"caused":[70],"by":[71,178],"rich":[72],"complex":[74],"backgrounds.":[75],"How":[76],"to":[77,116,147,162,175,207],"extract":[78],"key":[79,118],"regions":[80,120],"images,":[84],"reduce":[85],"background":[86],"interference,":[87],"improve":[89],"accuracy":[91],"become":[93],"hot":[95],"research":[96],"topic.":[97],"Addressing":[98],"this":[99,102],"challenge,":[100],"paper,":[103],"we":[104],"propose":[105],"region":[107],"interest":[109],"(ROI)":[110],"guided":[111],"attention":[112,170,203],"network":[113,124],"(RGAN)":[114],"designed":[115],"detect":[117],"category":[119,154,174],"targets.":[122],"integrates":[125],"Class":[127],"Activation":[128],"Map":[129],"(CAM)":[130],"module":[131,161,171],"into":[132,158],"deep":[134],"learning":[135],"framework":[136],"for":[137,214],"retrieval.":[139],"Firstly,":[140],"CAM":[142],"identifies":[143],"multiple":[144,153],"categories":[145,199],"corresponding":[146],"different":[148],"categories.":[151],"Secondly,":[152],"features":[155,191,196],"are":[156,205],"fed":[157],"an":[159,234],"ROI-attention":[160],"distinguish":[163],"importance":[165],"category.":[168],"highlights":[172],"be":[176],"detected":[177],"suppressing":[179],"interference":[180],"background.":[183],"Finally,":[184],"two":[185],"branches,":[186],"globally":[188],"extracted":[189,195],"locally":[194],"important":[198],"obtained":[200],"through":[201,227],"module,":[204],"integrated":[206],"form":[208],"comprehensive":[210],"representation":[212],"optimized":[213],"retrieving":[215],"object.":[218],"our":[222],"proposed":[223],"method":[224],"validated":[226],"experiments":[228],"conducted":[229],"diverse":[231],"datasets,":[232],"demonstrating":[233],"improvement":[235],"accuracy.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
