{"id":"https://openalex.org/W4403186675","doi":"https://doi.org/10.3390/rs16193728","title":"Semi-Supervised Subcategory Centroid Alignment-Based Scene Classification for High-Resolution Remote Sensing Images","display_name":"Semi-Supervised Subcategory Centroid Alignment-Based Scene Classification for High-Resolution Remote Sensing Images","publication_year":2024,"publication_date":"2024-10-07","ids":{"openalex":"https://openalex.org/W4403186675","doi":"https://doi.org/10.3390/rs16193728"},"language":"en","primary_location":{"id":"doi:10.3390/rs16193728","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16193728","pdf_url":"https://www.mdpi.com/2072-4292/16/19/3728/pdf?version=1728309617","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/16/19/3728/pdf?version=1728309617","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100613887","display_name":"Nan Mo","orcid":"https://orcid.org/0009-0001-6743-9996"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Mo","raw_affiliation_strings":["School of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China"],"affiliations":[{"raw_affiliation_string":"School of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088161362","display_name":"Ruixi Zhu","orcid":"https://orcid.org/0000-0002-5006-0840"},"institutions":[{"id":"https://openalex.org/I4210110458","display_name":"Institute of Electronics","ror":"https://ror.org/01z143507","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210110458"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruixi Zhu","raw_affiliation_strings":["Department of Research, Nanjing Research Institute of Electronic Technology, Nanjing 210039, China"],"affiliations":[{"raw_affiliation_string":"Department of Research, Nanjing Research Institute of Electronic Technology, Nanjing 210039, China","institution_ids":["https://openalex.org/I4210110458"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088161362"],"corresponding_institution_ids":["https://openalex.org/I4210110458"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.4014,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61225665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"16","issue":"19","first_page":"3728","last_page":"3728"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9575999975204468,"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"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9575999975204468,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9514999985694885,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.6667282581329346},{"id":"https://openalex.org/keywords/subcategory","display_name":"Subcategory","score":0.6567378044128418},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6034291982650757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5887750387191772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5622959733009338},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5293259024620056},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.45896410942077637},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40567246079444885},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22339922189712524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15078207850456238}],"concepts":[{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.6667282581329346},{"id":"https://openalex.org/C2780617661","wikidata":"https://www.wikidata.org/wiki/Q541563","display_name":"Subcategory","level":2,"score":0.6567378044128418},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6034291982650757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5887750387191772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5622959733009338},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5293259024620056},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.45896410942077637},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40567246079444885},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22339922189712524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15078207850456238},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16193728","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16193728","pdf_url":"https://www.mdpi.com/2072-4292/16/19/3728/pdf?version=1728309617","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c965cf9c89eb4219850001d957604a0c","is_oa":true,"landing_page_url":"https://doaj.org/article/c965cf9c89eb4219850001d957604a0c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 19, p 3728 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16193728","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16193728","pdf_url":"https://www.mdpi.com/2072-4292/16/19/3728/pdf?version=1728309617","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4109759720","display_name":null,"funder_award_id":"24KJB420004","funder_id":"https://openalex.org/F4320324207","funder_display_name":"Jiangsu Provincial Department of Education"}],"funders":[{"id":"https://openalex.org/F4320324207","display_name":"Jiangsu Provincial Department of Education","ror":"https://ror.org/059md9404"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403186675.pdf"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1526295910","https://openalex.org/W1731081199","https://openalex.org/W1784617778","https://openalex.org/W1980038761","https://openalex.org/W1982696459","https://openalex.org/W2008213480","https://openalex.org/W2042873848","https://openalex.org/W2067441435","https://openalex.org/W2136568768","https://openalex.org/W2140797190","https://openalex.org/W2163352848","https://openalex.org/W2168026118","https://openalex.org/W2194775991","https://openalex.org/W2274622268","https://openalex.org/W2289846183","https://openalex.org/W2330762779","https://openalex.org/W2340427832","https://openalex.org/W2343756965","https://openalex.org/W2567257788","https://openalex.org/W2592737629","https://openalex.org/W2592962403","https://openalex.org/W2593768305","https://openalex.org/W2767581044","https://openalex.org/W2792088634","https://openalex.org/W2793461576","https://openalex.org/W2798681837","https://openalex.org/W2909431441","https://openalex.org/W2957972995","https://openalex.org/W2963299736","https://openalex.org/W3012326541","https://openalex.org/W3022140654","https://openalex.org/W3119231693","https://openalex.org/W4213218297","https://openalex.org/W4285188159","https://openalex.org/W4288076010","https://openalex.org/W4296363273","https://openalex.org/W4304481541","https://openalex.org/W4313063910","https://openalex.org/W4377263991","https://openalex.org/W4379229760","https://openalex.org/W4379528713","https://openalex.org/W4387267624","https://openalex.org/W4395096404","https://openalex.org/W4401510282","https://openalex.org/W6618372016","https://openalex.org/W6637618735","https://openalex.org/W6694954494","https://openalex.org/W6750109254","https://openalex.org/W6852797657","https://openalex.org/W6865102614"],"related_works":["https://openalex.org/W4226068787","https://openalex.org/W2963366818","https://openalex.org/W3157916708","https://openalex.org/W1547238018","https://openalex.org/W2178926482","https://openalex.org/W2009701419","https://openalex.org/W2148211421","https://openalex.org/W1514356479","https://openalex.org/W2168847017","https://openalex.org/W3022351392"],"abstract_inverted_index":{"It":[0],"is":[1,84,89],"usually":[2],"hard":[3],"to":[4,28,41,112,128,153],"obtain":[5],"adequate":[6],"annotated":[7,26],"data":[8,27],"for":[9,35],"delivering":[10],"satisfactory":[11,36,67],"scene":[12,16,61,81,139],"classification":[13,17,37,62,68,82],"results.":[14,38],"Semi-supervised":[15],"approaches":[18,147,170],"can":[19],"transfer":[20],"the":[21,42,96,103,114,125,130,161],"knowledge":[22],"learned":[23],"from":[24],"previously":[25],"remote":[29,52,120],"sensing":[30,53,121],"images":[31,54],"with":[32],"scarce":[33],"samples":[34],"However,":[39],"due":[40],"differences":[43],"between":[44],"sensors,":[45],"environments,":[46],"seasons,":[47],"and":[48,102,144],"geographical":[49],"locations,":[50],"cross-domain":[51,138],"exhibit":[55],"feature":[56,99],"distribution":[57],"deviations.":[58],"Therefore,":[59],"semi-supervised":[60,76],"methods":[63],"may":[64],"not":[65],"achieve":[66],"accuracy.":[69,177],"To":[70],"address":[71],"this":[72],"problem,":[73],"a":[74],"novel":[75],"subcategory":[77,105],"centroid":[78,106],"alignment":[79,107],"(SSCA)-based":[80],"approach":[83,164],"proposed.":[85],"The":[86,109,141,157],"SSCA":[87,142,163],"framework":[88],"made":[90],"up":[91],"of":[92,116,132],"two":[93,151],"components,":[94],"namely":[95],"rotation-robust":[97],"convolutional":[98],"extractor":[100],"(RCFE)":[101],"neighbor-based":[104],"(NSCA).":[108],"RCFE":[110],"aims":[111,127],"suppress":[113],"impact":[115,131],"rotation":[117],"changes":[118],"on":[119,137,150],"image":[122],"representation,":[123],"while":[124],"NSCA":[126],"decrease":[129],"intra-category":[133],"variety":[134],"across":[135],"domains":[136],"classification.":[140],"algorithm":[143],"several":[145],"competitive":[146,169],"are":[148],"validated":[149],"datasets":[152],"demonstrate":[154],"its":[155],"effectiveness.":[156],"results":[158],"prove":[159],"that":[160],"proposed":[162],"performs":[165],"better":[166],"than":[167,174],"most":[168],"by":[171],"no":[172],"less":[173],"2%":[175],"overall":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
