{"id":"https://openalex.org/W3100172320","doi":"https://doi.org/10.1109/tgrs.2020.3035676","title":"Deep Hashing Learning for Visual and Semantic Retrieval of Remote Sensing Images","display_name":"Deep Hashing Learning for Visual and Semantic Retrieval of Remote Sensing Images","publication_year":2020,"publication_date":"2020-11-16","ids":{"openalex":"https://openalex.org/W3100172320","doi":"https://doi.org/10.1109/tgrs.2020.3035676","mag":"3100172320"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3035676","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3035676","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5019995639","display_name":"Weiwei Song","orcid":"https://orcid.org/0000-0001-5089-4127"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Song","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-5089-4127","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067097659","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0585-9848","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035508615","display_name":"J\u00f3n Atli Benediktsson","orcid":"https://orcid.org/0000-0003-0621-9647"},"institutions":[{"id":"https://openalex.org/I165368041","display_name":"University of Iceland","ror":"https://ror.org/01db6h964","country_code":"IS","type":"education","lineage":["https://openalex.org/I165368041"]}],"countries":["IS"],"is_corresponding":false,"raw_author_name":"Jon Atli Benediktsson","raw_affiliation_strings":["Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavk, Iceland"],"raw_orcid":"https://orcid.org/0000-0003-0621-9647","affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavk, Iceland","institution_ids":["https://openalex.org/I165368041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8333,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.94816142,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"59","issue":"11","first_page":"9661","last_page":"9672"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9970999956130981,"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":0.9945999979972839,"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/softmax-function","display_name":"Softmax function","score":0.8738203644752502},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8447201251983643},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7849010229110718},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7601345777511597},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7004779577255249},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5683058500289917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5555009245872498},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4318808913230896},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3278322219848633},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27227771282196045}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.8738203644752502},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8447201251983643},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7849010229110718},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7601345777511597},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7004779577255249},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5683058500289917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5555009245872498},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4318808913230896},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3278322219848633},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27227771282196045},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.3035676","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3035676","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2027762821","display_name":null,"funder_award_id":"61890962","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G898426514","display_name":null,"funder_award_id":"61520106001","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W1912954554","https://openalex.org/W1951304353","https://openalex.org/W1974647172","https://openalex.org/W1978563198","https://openalex.org/W1980038761","https://openalex.org/W1989316905","https://openalex.org/W1992371516","https://openalex.org/W2033242207","https://openalex.org/W2040918046","https://openalex.org/W2054617313","https://openalex.org/W2073301055","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2118187752","https://openalex.org/W2131386954","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2164338181","https://openalex.org/W2169648929","https://openalex.org/W2194775991","https://openalex.org/W2221852422","https://openalex.org/W2249017129","https://openalex.org/W2291068538","https://openalex.org/W2293597654","https://openalex.org/W2293824885","https://openalex.org/W2515866431","https://openalex.org/W2551397753","https://openalex.org/W2554234430","https://openalex.org/W2565611351","https://openalex.org/W2567850185","https://openalex.org/W2599837009","https://openalex.org/W2601869775","https://openalex.org/W2620429297","https://openalex.org/W2736154721","https://openalex.org/W2759518055","https://openalex.org/W2763822693","https://openalex.org/W2766938848","https://openalex.org/W2771872884","https://openalex.org/W2783165089","https://openalex.org/W2792332881","https://openalex.org/W2808376087","https://openalex.org/W2829067510","https://openalex.org/W2901351317","https://openalex.org/W2911305027","https://openalex.org/W2922379874","https://openalex.org/W2940726923","https://openalex.org/W2942454403","https://openalex.org/W2946057160","https://openalex.org/W2962786441","https://openalex.org/W2963173190","https://openalex.org/W2963256013","https://openalex.org/W2963398644","https://openalex.org/W2981537605","https://openalex.org/W2991616716","https://openalex.org/W3100011500","https://openalex.org/W3103722964","https://openalex.org/W3105409087","https://openalex.org/W3105577662","https://openalex.org/W6637373629","https://openalex.org/W6648560114","https://openalex.org/W6679699912","https://openalex.org/W6684181414","https://openalex.org/W6684191040","https://openalex.org/W6688152296","https://openalex.org/W6688844344","https://openalex.org/W6697060382","https://openalex.org/W6697214482","https://openalex.org/W6741481310","https://openalex.org/W6752831347"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W2899027234","https://openalex.org/W4323060069","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Driven":[0],"by":[1],"the":[2,21,75,80,99,158,162,182,187,202,226],"urgent":[3],"demand":[4],"for":[5],"managing":[6],"remote":[7,12,22,220],"sensing":[8,13,23,221],"big":[9],"data,":[10],"large-scale":[11],"image":[14,50,100,207],"retrieval":[15,28,35,56,101,107,232],"(RSIR)":[16],"attracts":[17],"increasing":[18],"attention":[19],"in":[20,94,131],"field.":[24],"In":[25,135,169],"general,":[26],"existing":[27],"methods":[29,57],"can":[30,72,229],"be":[31,70],"regarded":[32],"as":[33,103],"visual-based":[34],"approaches":[36],"that":[37,67,225],"search":[38],"and":[39,88,105,125,208,233],"return":[40],"a":[41,47,52,65,113,132,138,151,171,176,194],"set":[42],"of":[43,79,108,190,205,211,213],"similar":[44,82,123],"images":[45,83,124,214],"to":[46,69,84,121,145,160,185,200],"given":[48],"query":[49],"from":[51],"database.":[53],"Although":[54],"these":[55],"have":[58],"delivered":[59],"good":[60],"results,":[61],"there":[62],"is":[63,143,154,179,197],"still":[64],"question":[66],"needs":[68],"addressed:":[71],"we":[73,97,111],"obtain":[74],"accurate":[76],"semantic":[77,106,128],"labels":[78,129],"returned":[81],"further":[85],"help":[86],"analyzing":[87],"processing":[89],"imagery?":[90],"To":[91],"this":[92,95],"end,":[93],"article,":[96],"redefine":[98],"problem":[102],"visual":[104],"images.":[109],"Especially,":[110],"propose":[112],"novel":[114],"deep":[115,148,163],"hashing":[116],"convolutional":[117,139],"neural":[118,140],"network":[119,141,159],"(DHCNN)":[120],"retrieve":[122],"classify":[126],"their":[127],"simultaneously":[130],"unified":[133],"framework.":[134],"more":[136],"detail,":[137],"(CNN)":[142],"used":[144],"extract":[146],"high-dimensional":[147],"features.":[149],"Then,":[150],"hash":[152,167,183],"layer":[153,174,184],"perfectly":[155],"inserted":[156],"into":[157,165],"transfer":[161],"features":[164],"compact":[166],"codes.":[168],"addition,":[170],"fully":[172],"connected":[173],"with":[175],"softmax":[177],"function":[178,196],"performed":[180],"on":[181,218],"generate":[186],"probability":[188],"distribution":[189],"each":[191,206],"class.":[192],"Finally,":[193],"loss":[195,204,210],"elaborately":[198],"designed":[199],"consider":[201],"label":[203],"similarity":[209],"pairs":[212],"simultaneously.":[215],"Experimental":[216],"results":[217],"three":[219],"data":[222],"sets":[223],"demonstrate":[224],"proposed":[227],"method":[228],"achieve":[230],"state-of-art":[231],"classification":[234],"performance.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}