{"id":"https://openalex.org/W4221016273","doi":"https://doi.org/10.1109/access.2022.3161978","title":"Change Detection in VHR Imagery With Severe Co-Registration Errors Using Deep Learning: A Comparative Study","display_name":"Change Detection in VHR Imagery With Severe Co-Registration Errors Using Deep Learning: A Comparative Study","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4221016273","doi":"https://doi.org/10.1109/access.2022.3161978"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3161978","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3161978","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09740657.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09740657.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086993315","display_name":"Viktoria Kristollari","orcid":"https://orcid.org/0000-0001-5112-4079"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Viktoria Kristollari","raw_affiliation_strings":["Laboratory of Remote Sensing, School of Rural, Surveying, Geoinformatics Engineering, National Technical University of Athens, Zografou, Greece"],"raw_orcid":"https://orcid.org/0000-0001-5112-4079","affiliations":[{"raw_affiliation_string":"Laboratory of Remote Sensing, School of Rural, Surveying, Geoinformatics Engineering, National Technical University of Athens, Zografou, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073925649","display_name":"Vassilia Karathanassi","orcid":"https://orcid.org/0000-0002-8834-4734"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vassilia Karathanassi","raw_affiliation_strings":["Laboratory of Remote Sensing, School of Rural, Surveying, Geoinformatics Engineering, National Technical University of Athens, Zografou, Greece"],"raw_orcid":"https://orcid.org/0000-0002-8834-4734","affiliations":[{"raw_affiliation_string":"Laboratory of Remote Sensing, School of Rural, Surveying, Geoinformatics Engineering, National Technical University of Athens, Zografou, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.768,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73280257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10","issue":null,"first_page":"33723","last_page":"33741"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/computer-science","display_name":"Computer science","score":0.8103732466697693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7077561020851135},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6387349367141724},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5311611890792847},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5034999251365662},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4827967882156372},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46432700753211975},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.461139053106308},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.45820072293281555},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4343158006668091},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4252394735813141},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4203764796257019},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24982938170433044},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0834474265575409}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8103732466697693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7077561020851135},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6387349367141724},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5311611890792847},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5034999251365662},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4827967882156372},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46432700753211975},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.461139053106308},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.45820072293281555},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4343158006668091},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4252394735813141},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4203764796257019},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24982938170433044},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0834474265575409},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2022.3161978","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3161978","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09740657.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:6516843","is_oa":true,"landing_page_url":"https://zenodo.org/record/6516843","pdf_url":"https://zenodo.org/record/6516843","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:7d44c3721d78406ebc5b1b6a2cb81a93","is_oa":false,"landing_page_url":"https://doaj.org/article/7d44c3721d78406ebc5b1b6a2cb81a93","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 33723-33741 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3161978","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3161978","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9668973/09740657.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3501861995","display_name":null,"funder_award_id":"agreement no. 821054","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G5409191008","display_name":"Development of a Decision Support System for Improved Resilience & Sustainable Reconstruction of historic areas to cope with Climate Change & Extreme Events based on Novel Sensors and Modelling Tools","funder_award_id":"821054","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320330142","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4221016273.pdf","grobid_xml":"https://content.openalex.org/works/W4221016273.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W1491719799","https://openalex.org/W1532362218","https://openalex.org/W1547593631","https://openalex.org/W1584663654","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1979061792","https://openalex.org/W1987736651","https://openalex.org/W2006383776","https://openalex.org/W2029161185","https://openalex.org/W2049805697","https://openalex.org/W2085261163","https://openalex.org/W2088429922","https://openalex.org/W2108262882","https://openalex.org/W2108598243","https://openalex.org/W2111358849","https://openalex.org/W2117228865","https://openalex.org/W2118116484","https://openalex.org/W2119129640","https://openalex.org/W2133059825","https://openalex.org/W2139688603","https://openalex.org/W2150013982","https://openalex.org/W2151103935","https://openalex.org/W2154451793","https://openalex.org/W2155893237","https://openalex.org/W2157026765","https://openalex.org/W2158086406","https://openalex.org/W2167208453","https://openalex.org/W2194775991","https://openalex.org/W2294798173","https://openalex.org/W2313026423","https://openalex.org/W2332183138","https://openalex.org/W2412782625","https://openalex.org/W2464416094","https://openalex.org/W2515866431","https://openalex.org/W2521099477","https://openalex.org/W2529419676","https://openalex.org/W2571440227","https://openalex.org/W2738855634","https://openalex.org/W2751993439","https://openalex.org/W2767778161","https://openalex.org/W2804528682","https://openalex.org/W2805152403","https://openalex.org/W2847088336","https://openalex.org/W2891248708","https://openalex.org/W2896092083","https://openalex.org/W2908320224","https://openalex.org/W2910587630","https://openalex.org/W2921317791","https://openalex.org/W2948648905","https://openalex.org/W2951267175","https://openalex.org/W2966542792","https://openalex.org/W2968065858","https://openalex.org/W2979204512","https://openalex.org/W2980881023","https://openalex.org/W2981266721","https://openalex.org/W2995948778","https://openalex.org/W2996489182","https://openalex.org/W2997043451","https://openalex.org/W3004423752","https://openalex.org/W3009942016","https://openalex.org/W3012456963","https://openalex.org/W3015038817","https://openalex.org/W3027225766","https://openalex.org/W3036453075","https://openalex.org/W3104825134","https://openalex.org/W3105577662","https://openalex.org/W3120467244","https://openalex.org/W3189451737","https://openalex.org/W3200721464","https://openalex.org/W4200000656","https://openalex.org/W4214601273","https://openalex.org/W6632908498","https://openalex.org/W6637373629","https://openalex.org/W6638056985","https://openalex.org/W6713134421","https://openalex.org/W6766978945","https://openalex.org/W6772078644"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W1989735375","https://openalex.org/W2389381914","https://openalex.org/W2376528221","https://openalex.org/W196800607","https://openalex.org/W4375867731","https://openalex.org/W2359428812","https://openalex.org/W3181296946","https://openalex.org/W2082282735"],"abstract_inverted_index":{"Change":[0],"detection":[1],"(CD)":[2],"through":[3],"Earth":[4],"observation":[5],"techniques":[6],"can":[7,23,217],"offer":[8],"very":[9,70],"significant":[10],"information":[11,87],"for":[12,72,183],"monitoring":[13],"tasks":[14],"in":[15,26],"a":[16,41],"time-efficient":[17],"manner.":[18],"Very":[19],"high-resolution":[20],"(VHR)":[21],"images":[22,113,144],"display":[24],"objects":[25],"fine":[27],"detail,":[28],"thus":[29],"making":[30],"it":[31,108],"possible":[32],"to":[33,80,127,220],"rapidly":[34],"perceive":[35],"isolated":[36],"changes.":[37],"However,":[38],"this":[39,124,180],"is":[40,126],"challenging":[42],"task":[43],"because":[44,76,175],"of":[45,77,86,93,123,131,158,176,179,187,231],"the":[46,73,90,121,129,165,177,184,188,199,203,232],"increased":[47,91],"within-class":[48],"variance":[49],"and":[50,60,82,139,208,225,234],"geometric":[51],"registration":[52],"errors":[53],"caused":[54],"by":[55],"different":[56,84],"satellite":[57],"view":[58],"directions":[59],"angles.":[61],"Lately,":[62],"deep":[63],"learning":[64],"(DL)":[65],"CD":[66,74,135,166,189,235],"methods":[67,150,172,236],"have":[68],"proven":[69],"appealing":[71],"problem":[75],"their":[78],"flexibility":[79],"combine":[81],"process":[83],"types":[85],"along":[88],"with":[89,114,145],"availability":[92],"higher":[94],"processing":[95],"power":[96],"systems.":[97],"Even":[98],"though":[99],"previous":[100],"research":[101],"has":[102,109],"developed":[103],"several":[104],"notable":[105],"DL":[106,134],"methodologies,":[107],"mostly":[110],"focused":[111],"on":[112,119,142,153,198],"minor":[115],"co-registration":[116,147,171,206,233],"errors.":[117,148],"Based":[118],"that,":[120],"goal":[122],"study":[125],"evaluate":[128],"performance":[130],"five":[132],"state-of-the-art":[133],"methods,":[136],"two":[137],"unsupervised":[138],"three":[140],"supervised,":[141],"VHR":[143],"severe":[146],"The":[149,229],"are":[151],"implemented":[152],"four":[154,168],"urban":[155],"European":[156],"areas":[157],"versatile":[159],"morphology.":[160],"In":[161],"addition,":[162],"before":[163],"applying":[164],"process,":[167],"popular":[169],"automatic":[170],"were":[173],"evaluated":[174],"importance":[178],"pre-processing":[181],"step":[182],"successful":[185],"output":[186],"problem.":[190],"It":[191],"was":[192],"shown":[193],"that":[194],"phase":[195],"correlation":[196],"used":[197],"Fourier-Mellin":[200],"Transform":[201],"produced":[202],"most":[204,213],"satisfactory":[205],"results":[207],"STANet":[209],"detected":[210],"building-related":[211],"changes":[212],"successfully.":[214],"Its":[215],"success":[216],"be":[218],"attributed":[219],"its":[221,226],"particular":[222],"attention":[223],"mechanism":[224],"training":[227],"dataset.":[228],"rest":[230],"showed":[237],"low":[238],"performance.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-11T18:08:03.149640","created_date":"2025-10-10T00:00:00"}