{"id":"https://openalex.org/W4411799377","doi":"https://doi.org/10.1109/jstars.2025.3584546","title":"An Improved MAE-Based Pretraining Method for Urban Public Space Monitoring with Optical Remote Sensing Imagery","display_name":"An Improved MAE-Based Pretraining Method for Urban Public Space Monitoring with Optical Remote Sensing Imagery","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411799377","doi":"https://doi.org/10.1109/jstars.2025.3584546"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3584546","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3584546","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2025.3584546","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Wentao Wei","orcid":"https://orcid.org/0009-0008-3968-8929"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wentao Wei","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-3968-8929","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101802315","display_name":"Huan Chen","orcid":"https://orcid.org/0009-0008-8302-3887"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Chen","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-8302-3887","affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100784112","display_name":"Jiang Yu","orcid":"https://orcid.org/0000-0002-4436-707X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Jiang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101474262","display_name":"Fu Li","orcid":"https://orcid.org/0000-0001-7530-6336"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Fu","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003271371","display_name":"Ping Yao","orcid":"https://orcid.org/0000-0002-0192-9546"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Yao","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18985426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9984999895095825,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7046912908554077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5787918567657471},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5423714518547058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.498258113861084},{"id":"https://openalex.org/keywords/public-space","display_name":"Public space","score":0.4384714663028717},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.436473548412323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3275664150714874},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17663273215293884},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11108642816543579}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7046912908554077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5787918567657471},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5423714518547058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.498258113861084},{"id":"https://openalex.org/C2984866010","wikidata":"https://www.wikidata.org/wiki/Q294440","display_name":"Public space","level":2,"score":0.4384714663028717},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.436473548412323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3275664150714874},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17663273215293884},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11108642816543579},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3584546","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3584546","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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:9aaacba9fd784868828ebdc124276c1f","is_oa":true,"landing_page_url":"https://doaj.org/article/9aaacba9fd784868828ebdc124276c1f","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 18, Pp 16929-16941 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3584546","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3584546","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1541771177","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W1949726038","https://openalex.org/W2102673432","https://openalex.org/W2108598243","https://openalex.org/W2412782625","https://openalex.org/W2416190443","https://openalex.org/W2560023338","https://openalex.org/W2630837129","https://openalex.org/W2783363232","https://openalex.org/W2787091153","https://openalex.org/W2793116851","https://openalex.org/W2800903797","https://openalex.org/W2884822772","https://openalex.org/W2892096486","https://openalex.org/W2896457183","https://openalex.org/W2908510526","https://openalex.org/W2963263347","https://openalex.org/W3009561768","https://openalex.org/W3010018332","https://openalex.org/W3035524453","https://openalex.org/W3094502228","https://openalex.org/W3121898985","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3145450063","https://openalex.org/W3155902738","https://openalex.org/W3170863103","https://openalex.org/W3171007011","https://openalex.org/W3200870516","https://openalex.org/W3213836217","https://openalex.org/W4214893857","https://openalex.org/W4224269597","https://openalex.org/W4292779060","https://openalex.org/W4296079303","https://openalex.org/W4312795296","https://openalex.org/W4312804044","https://openalex.org/W4312815172","https://openalex.org/W4313156423","https://openalex.org/W4323557053","https://openalex.org/W4372259934","https://openalex.org/W4385245566","https://openalex.org/W4386766670","https://openalex.org/W4389980781","https://openalex.org/W4400488159","https://openalex.org/W4402510585","https://openalex.org/W4405489263","https://openalex.org/W4406890612","https://openalex.org/W4407186126"],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W1987967678","https://openalex.org/W2633218168","https://openalex.org/W4235897794","https://openalex.org/W2059707233","https://openalex.org/W1983126463","https://openalex.org/W2085738998","https://openalex.org/W2038436165","https://openalex.org/W52872166"],"abstract_inverted_index":{"Monitoring":[0],"urban":[1,10,24,206],"public":[2,25,192,207],"spaces":[3,26],"is":[4,101],"a":[5,116,146],"vital":[6],"component":[7],"of":[8,23,30,42,65,125,142,158,188,200],"scientific":[9],"planning.":[11],"This":[12,144],"paper":[13],"proposes":[14],"an":[15,186],"improved":[16],"MAE-based":[17,171],"pretraining":[18,85],"method":[19,50,83,167,203],"for":[20,204],"automatic":[21],"monitoring":[22,205],"with":[27,46],"semantic":[28],"segmentation":[29],"optical":[31],"satellite":[32],"remote":[33,61,89],"sensing":[34,62,90],"imagery.":[35],"Different":[36],"from":[37],"most":[38],"existing":[39],"image":[40,110,159],"encoders":[41],"vision":[43,172],"Transformer":[44,173],"pretrained":[45],"Masked":[47],"Autoencoder":[48],"(MAE)":[49],"on":[51,79,87,181],"natural":[52,72],"images,":[53],"which":[54],"have":[55],"difficulty":[56,137],"in":[57,194],"transferring":[58],"to":[59,71,92,106,119,134,149],"small-scale":[60],"dataset":[63],"because":[64],"its":[66,95],"large":[67],"domain":[68],"gap":[69],"relative":[70],"images":[73],"and":[74,123,128,156],"limit":[75],"the":[76,108,121,130,139,154,165,182,189,198,201],"fine-tuning":[77],"performance":[78],"downstream":[80],"tasks,":[81],"our":[82],"performs":[84],"directly":[86],"target":[88],"imagery":[91],"better":[93],"capture":[94],"feature":[96,126],"distribution.":[97],"Specifically,":[98],"label":[99],"information":[100],"filled":[102],"into":[103],"masked":[104],"regions":[105],"enhance":[107],"model's":[109],"reconstruction":[111,136],"capabilities.":[112],"Additionally,":[113],"we":[114],"design":[115],"momentum":[117],"branch":[118],"ensure":[120],"stability":[122],"consistency":[124],"updates":[127],"adopt":[129],"dynamic":[131],"masking":[132],"strategy":[133],"reduce":[135],"during":[138],"initial":[140],"stages":[141],"pretraining.":[143],"ensures":[145],"smooth":[147],"transition":[148],"later":[150],"stages,":[151],"significantly":[152,168],"improving":[153],"accuracy":[155],"efficiency":[157],"generation.":[160],"Experimental":[161],"results":[162],"demonstrate":[163],"that":[164],"proposed":[166,202],"outperforms":[169],"competing":[170],"approaches":[174],"as":[175,177],"well":[176],"state-of-the-art":[178],"CNN-based":[179],"methods":[180],"test":[183],"dataset.":[184],"Furthermore,":[185],"analysis":[187],"per":[190],"capita":[191],"space":[193],"Haikou":[195],"City":[196],"validates":[197],"effectiveness":[199],"spaces.":[208]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}