{"id":"https://openalex.org/W4290755378","doi":"https://doi.org/10.3390/rs14153775","title":"MDESNet: Multitask Difference-Enhanced Siamese Network for Building Change Detection in High-Resolution Remote Sensing Images","display_name":"MDESNet: Multitask Difference-Enhanced Siamese Network for Building Change Detection in High-Resolution Remote Sensing Images","publication_year":2022,"publication_date":"2022-08-06","ids":{"openalex":"https://openalex.org/W4290755378","doi":"https://doi.org/10.3390/rs14153775"},"language":"en","primary_location":{"id":"doi:10.3390/rs14153775","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14153775","pdf_url":"https://www.mdpi.com/2072-4292/14/15/3775/pdf?version=1659950094","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/2072-4292/14/15/3775/pdf?version=1659950094","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113969178","display_name":"Jiaxiang Zheng","orcid":"https://orcid.org/0009-0007-0755-067X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxiang Zheng","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031808797","display_name":"Yichen Tian","orcid":"https://orcid.org/0000-0002-0044-5777"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichen Tian","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008708998","display_name":"Chao Yuan","orcid":"https://orcid.org/0000-0001-6044-2925"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yuan","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625574","display_name":"Kai Yin","orcid":"https://orcid.org/0000-0003-1245-3528"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kai Yin","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406152","display_name":"Feifei Zhang","orcid":"https://orcid.org/0000-0003-1382-2911"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifei Zhang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064122109","display_name":"Fangmiao Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangmiao Chen","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102932191","display_name":"Qiang Chen","orcid":"https://orcid.org/0000-0002-5720-2338"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Chen","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100625574"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.1928,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.92777077,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"14","issue":"15","first_page":"3775","last_page":"3775"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9959999918937683,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8201174139976501},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.8125203847885132},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.6818169951438904},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5964333415031433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5578603744506836},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48564210534095764},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.47841864824295044},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4597907066345215},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44084277749061584},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43233978748321533},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4272160828113556},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4153320789337158},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.337035596370697},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3220096230506897},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3042931854724884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07431459426879883},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0714188814163208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8201174139976501},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.8125203847885132},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.6818169951438904},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5964333415031433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5578603744506836},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48564210534095764},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.47841864824295044},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4597907066345215},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44084277749061584},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43233978748321533},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4272160828113556},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4153320789337158},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.337035596370697},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3220096230506897},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3042931854724884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07431459426879883},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0714188814163208},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14153775","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14153775","pdf_url":"https://www.mdpi.com/2072-4292/14/15/3775/pdf?version=1659950094","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:ecc487500ab74f5cb3dede6e4ad6d1c5","is_oa":true,"landing_page_url":"https://doaj.org/article/ecc487500ab74f5cb3dede6e4ad6d1c5","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 14, Iss 15, p 3775 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/15/3775/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14153775","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 15; Pages: 3775","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14153775","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14153775","pdf_url":"https://www.mdpi.com/2072-4292/14/15/3775/pdf?version=1659950094","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":[{"display_name":"Sustainable cities and communities","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4290755378.pdf","grobid_xml":"https://content.openalex.org/works/W4290755378.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1991129673","https://openalex.org/W2001142757","https://openalex.org/W2029316659","https://openalex.org/W2034378841","https://openalex.org/W2036798369","https://openalex.org/W2073134030","https://openalex.org/W2100290662","https://openalex.org/W2103192805","https://openalex.org/W2127589108","https://openalex.org/W2134012403","https://openalex.org/W2136251662","https://openalex.org/W2144552105","https://openalex.org/W2148063443","https://openalex.org/W2157364932","https://openalex.org/W2160544350","https://openalex.org/W2194775991","https://openalex.org/W2274749644","https://openalex.org/W2318037162","https://openalex.org/W2364640743","https://openalex.org/W2431738724","https://openalex.org/W2474948075","https://openalex.org/W2549139847","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2752782242","https://openalex.org/W2769491841","https://openalex.org/W2791127439","https://openalex.org/W2884436604","https://openalex.org/W2884561390","https://openalex.org/W2904981602","https://openalex.org/W2908320224","https://openalex.org/W2910628332","https://openalex.org/W2914666560","https://openalex.org/W2919115771","https://openalex.org/W2963727650","https://openalex.org/W2963794428","https://openalex.org/W2964309882","https://openalex.org/W2980586448","https://openalex.org/W2989622715","https://openalex.org/W3009942016","https://openalex.org/W3015038817","https://openalex.org/W3034427230","https://openalex.org/W3130754787","https://openalex.org/W3142599962","https://openalex.org/W3189451737","https://openalex.org/W3200803613","https://openalex.org/W3207949352","https://openalex.org/W3208795173","https://openalex.org/W4210544941","https://openalex.org/W4211188460","https://openalex.org/W4220756528","https://openalex.org/W6720981769","https://openalex.org/W6790731625","https://openalex.org/W6798945365"],"related_works":["https://openalex.org/W2373577936","https://openalex.org/W3095575180","https://openalex.org/W2389596151","https://openalex.org/W4221148444","https://openalex.org/W4226054107","https://openalex.org/W4387678054","https://openalex.org/W4306784355","https://openalex.org/W2784004155","https://openalex.org/W4246226292","https://openalex.org/W2150768546"],"abstract_inverted_index":{"Building":[0],"change":[1,18,104,161,173,193],"detection":[2,19,84,105,162,174,194],"is":[3],"a":[4,14,133],"prominent":[5],"topic":[6],"in":[7,58,106,155],"remote":[8,23,60,108,189],"sensing":[9,24,61,109,190],"applications.":[10],"Scholars":[11],"have":[12],"proposed":[13,132],"variety":[15],"of":[16,40,76],"fully-convolutional-network-based":[17],"methods":[20,35],"for":[21,102,187],"high-resolution":[22,59,107,188],"images,":[25],"achieving":[26,176],"impressive":[27],"results":[28],"on":[29,92],"several":[30],"building":[31,103,160,192],"datasets.":[32],"However,":[33],"existing":[34],"cannot":[36],"solve":[37],"the":[38,74,77,141,159,177],"problem":[39],"pseudo-changes":[41,81],"caused":[42],"by":[43,117],"factors":[44],"such":[45],"as":[46],"\u201csame":[47],"object":[48],"with":[49,55],"different":[50],"spectrums\u201d":[51,57],"and":[52,82,121,138,147,181],"\u201cdifferent":[53],"objects":[54],"same":[56],"images":[62],"because":[63],"their":[64],"networks":[65],"are":[66],"constructed":[67],"using":[68],"simple":[69],"similarity":[70,134],"measures.":[71],"To":[72],"increase":[73],"ability":[75,116],"model":[78],"to":[79,151],"resist":[80],"improve":[83],"accuracy,":[85],"we":[86,131,165],"propose":[87],"an":[88],"improved":[89,112],"method":[90,169],"based":[91],"fully":[93],"convolutional":[94],"network,":[95],"called":[96,140],"multitask":[97],"difference-enhanced":[98],"Siamese":[99],"network":[100],"(MDESNet)":[101],"images.":[110],"We":[111],"its":[113,127,153,185],"feature":[114,142],"extraction":[115],"adding":[118],"semantic":[119],"constraints":[120],"effectively":[122],"utilized":[123],"features":[124],"while":[125],"improving":[126],"recognition":[128],"performance.":[129],"Furthermore,":[130],"measure":[135],"combining":[136],"concatenation":[137],"difference,":[139],"difference":[143],"enhancement":[144],"(FDE)":[145],"module,":[146],"designed":[148],"comparative":[149],"experiments":[150],"demonstrate":[152,166],"effectiveness":[154],"resisting":[156],"pseudo-changes.":[157],"Using":[158],"dataset":[163],"(BCDD),":[164],"that":[167],"our":[168],"outperforms":[170],"other":[171],"state-of-the-art":[172],"methods,":[175],"highest":[178],"F1-score":[179],"(0.9124)":[180],"OA":[182],"(0.9874),":[183],"indicating":[184],"advantages":[186],"image":[191],"tasks.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-08-09T00:00:00"}