{"id":"https://openalex.org/W3131509946","doi":"https://doi.org/10.1109/igarss39084.2020.9323667","title":"Street View Image Retrieval with Average Pooling Features","display_name":"Street View Image Retrieval with Average Pooling Features","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3131509946","doi":"https://doi.org/10.1109/igarss39084.2020.9323667","mag":"3131509946"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 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/A5059896497","display_name":"Tianyou Chu","orcid":"https://orcid.org/0009-0000-3956-1313"},"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":"Tianyou Chu","raw_affiliation_strings":["School of Resource and Environment Science, Wuhan University,Wuhan,China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Science, Wuhan University,Wuhan,China,430079","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726524","display_name":"Yumin Chen","orcid":"https://orcid.org/0000-0001-5045-6418"},"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":"Yumin Chen","raw_affiliation_strings":["School of Resource and Environment Science, Wuhan University,Wuhan,China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Science, Wuhan University,Wuhan,China,430079","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082858058","display_name":"Liheng Huang","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":"Liheng Huang","raw_affiliation_strings":["School of Resource and Environment Science, Wuhan University,Wuhan,China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Science, Wuhan University,Wuhan,China,430079","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013985411","display_name":"Huangyuan Tan","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":"Huangyuan Tan","raw_affiliation_strings":["School of Resource and Environment Science, Wuhan University,Wuhan,China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Science, Wuhan University,Wuhan,China,430079","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055542411","display_name":"Jiping Cao","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":"Jiping Cao","raw_affiliation_strings":["School of Resource and Environment Science, Wuhan University,Wuhan,China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Science, Wuhan University,Wuhan,China,430079","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101799658","display_name":"Zhiqiang Xu","orcid":"https://orcid.org/0000-0002-5693-8933"},"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":"Zhiqiang Xu","raw_affiliation_strings":["School of Resource and Environment Science, Wuhan University,Wuhan,China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Science, Wuhan University,Wuhan,China,430079","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.1958,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.5309692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1205","last_page":"1208"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9970999956130981,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9933000206947327,"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":0.7958337068557739},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7321645021438599},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7078247666358948},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6826722621917725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6796626448631287},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.591189980506897},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5277534127235413},{"id":"https://openalex.org/keywords/visual-word","display_name":"Visual Word","score":0.5113396048545837},{"id":"https://openalex.org/keywords/perspective-distortion","display_name":"Perspective distortion","score":0.5045052766799927},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4608208239078522},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4445958733558655},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43423306941986084},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42738622426986694},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3613537549972534},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35700100660324097}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7958337068557739},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7321645021438599},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7078247666358948},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6826722621917725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6796626448631287},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.591189980506897},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5277534127235413},{"id":"https://openalex.org/C189391414","wikidata":"https://www.wikidata.org/wiki/Q7936579","display_name":"Visual Word","level":4,"score":0.5113396048545837},{"id":"https://openalex.org/C2779989122","wikidata":"https://www.wikidata.org/wiki/Q15889487","display_name":"Perspective distortion","level":3,"score":0.5045052766799927},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4608208239078522},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4445958733558655},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43423306941986084},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42738622426986694},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3613537549972534},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35700100660324097},{"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":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1833123814","https://openalex.org/W1883248133","https://openalex.org/W1987488988","https://openalex.org/W2151103935","https://openalex.org/W2194775991","https://openalex.org/W2295537791","https://openalex.org/W2802080802","https://openalex.org/W2963588253","https://openalex.org/W6637400245","https://openalex.org/W6638556758"],"related_works":["https://openalex.org/W2083358477","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/W2147874738","https://openalex.org/W2036058638"],"abstract_inverted_index":{"Street":[0],"view":[1,44,91,115,122,176],"image":[2,45,130,166,177],"retrieval":[3,46,66,105,112,149],"is":[4,98],"a":[5,19,42,88],"challenging":[6],"subject":[7],"due":[8],"to":[9,85,106,127],"the":[10,13,74,78,95,101,120,128,145,158,163,169,173],"complexity":[11],"of":[12,22,62,77,103,136],"street":[14,43,90,114,175],"view.":[15],"Such":[16],"images":[17,64,116,123,137],"contain":[18],"large":[20],"number":[21],"similarly":[23],"structured":[24],"buildings":[25],"and":[26,35,53,144],"are":[27,83,117,125,138],"obscured":[28],"by":[29,132,151,171],"other":[30],"objects":[31],"such":[32],"as":[33],"pedestrians":[34],"vehicles.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40],"present":[41],"system":[47,143],"based":[48],"on":[49,87,100],"average":[50,69],"pooling":[51,70],"features":[52,71],"SIFT":[54,96],"(Scale-invariant":[55],"feature":[56],"transform),":[57],"which":[58],"extract":[59],"location":[60],"information":[61],"query":[63,129],"from":[65,73],"results.":[67],"The":[68,154],"extracted":[72],"middle":[75],"layer":[76],"convolutional":[79],"neural":[80],"networks":[81],"(CNNs)":[82],"used":[84],"retrieve":[86],"large-scale":[89,174],"dataset":[92],"firstly,":[93],"then":[94],"Re-ranking":[97,146],"performing":[99,111],"results":[102,155],"former":[104],"improve":[107],"precision.":[108],"Besides,":[109],"before":[110],"panorama":[113],"projected":[118],"into":[119],"perspective":[121],"that":[124,157],"similar":[126],"captured":[131,167],"mobile.":[133],"Finally,":[134],"82.14%":[135],"correctly":[139],"retrieved":[140],"through":[141],"our":[142],"method":[147,159],"increases":[148],"performance":[150],"about":[152],"12.5%.":[153],"show":[156],"can":[160],"effectively":[161],"locate":[162],"mobile":[164],"phone":[165],"in":[168],"city":[170],"retrieving":[172],"dataset.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}