{"id":"https://openalex.org/W4402992168","doi":"https://doi.org/10.3390/rs16193642","title":"Siamese InternImage for Change Detection","display_name":"Siamese InternImage for Change Detection","publication_year":2024,"publication_date":"2024-09-29","ids":{"openalex":"https://openalex.org/W4402992168","doi":"https://doi.org/10.3390/rs16193642"},"language":"en","primary_location":{"id":"doi:10.3390/rs16193642","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16193642","pdf_url":"https://www.mdpi.com/2072-4292/16/19/3642/pdf","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/2072-4292/16/19/3642/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009988932","display_name":"Jing Shen","orcid":"https://orcid.org/0000-0001-6157-8293"},"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Shen","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China","State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047574411","display_name":"Chunlei Huo","orcid":"https://orcid.org/0000-0002-6748-6709"},"institutions":[{"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/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlei Huo","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China","School of Information Engineering, Capital Normal University, Beijing 100048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Information Engineering, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040673285","display_name":"Shiming Xiang","orcid":"https://orcid.org/0000-0002-2089-9733"},"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/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiming Xiang","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China","State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China"],"raw_orcid":"https://orcid.org/0000-0002-2089-9733","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.3892,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84315436,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"16","issue":"19","first_page":"3642","last_page":"3642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9853000044822693,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9853000044822693,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9721999764442444,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9298999905586243,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.36374199390411377},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19972839951515198}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36374199390411377},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19972839951515198}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16193642","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16193642","pdf_url":"https://www.mdpi.com/2072-4292/16/19/3642/pdf","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:dc46022e19404bbdaf98f0bc8ad32044","is_oa":true,"landing_page_url":"https://doaj.org/article/dc46022e19404bbdaf98f0bc8ad32044","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":"Remote Sensing, Vol 16, Iss 19, p 3642 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16193642","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16193642","pdf_url":"https://www.mdpi.com/2072-4292/16/19/3642/pdf","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":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402992168.pdf","grobid_xml":"https://content.openalex.org/works/W4402992168.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W2020141522","https://openalex.org/W2029161185","https://openalex.org/W2144552105","https://openalex.org/W2531409750","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2601202827","https://openalex.org/W2601564443","https://openalex.org/W2884436604","https://openalex.org/W2884822772","https://openalex.org/W2891222095","https://openalex.org/W2891248708","https://openalex.org/W2966926453","https://openalex.org/W3009942016","https://openalex.org/W3027225766","https://openalex.org/W3036453075","https://openalex.org/W3130754787","https://openalex.org/W3186032668","https://openalex.org/W4226305459","https://openalex.org/W4312350143","https://openalex.org/W4312528255","https://openalex.org/W4312549298","https://openalex.org/W4360930410","https://openalex.org/W4362653113","https://openalex.org/W4377079808","https://openalex.org/W4381789302","https://openalex.org/W4386076222","https://openalex.org/W4386160455","https://openalex.org/W4388145495","https://openalex.org/W6657696318","https://openalex.org/W6799693294"],"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/W2095126257","https://openalex.org/W2085738998","https://openalex.org/W2031511989","https://openalex.org/W1606936601"],"abstract_inverted_index":{"For":[0],"some":[1],"time,":[2],"CNN":[3],"was":[4],"the":[5,46,49,69,111,149],"de":[6],"facto":[7],"state-of-the-art":[8],"method":[9],"in":[10,53,65,91],"remote":[11],"sensing":[12],"image":[13],"change":[14,96,114],"detection.":[15],"Although":[16],"transformer-based":[17],"models":[18,22],"have":[19],"surpassed":[20],"CNN-based":[21,95,113],"due":[23],"to":[24,39,72,133],"their":[25,32,35],"larger":[26],"receptive":[27,51],"fields,":[28],"CNNs":[29],"still":[30],"retain":[31],"value":[33],"for":[34,59],"efficiency":[36],"and":[37,125,151],"ability":[38,71],"extract":[40],"precise":[41],"local":[42,135],"features.":[43],"To":[44],"overcome":[45],"limitations":[47],"of":[48,62,121],"restricted":[50],"fields":[52],"standard":[54],"CNNs,":[55],"deformable":[56,82,105],"convolution":[57,83,106],"allows":[58],"dynamic":[60],"adjustment":[61],"sampling":[63],"locations":[64],"convolutional":[66],"kernels,":[67],"improving":[68],"network\u2019s":[70],"model":[73,100,118],"global":[74,126],"contexts.":[75],"InternImage":[76,109],"is":[77,101,119,131,140],"an":[78],"architecture":[79],"built":[80],"upon":[81],"as":[84],"its":[85],"foundational":[86],"operation.":[87],"Motivated":[88],"by":[89],"InternImage,":[90],"this":[92],"paper,":[93],"a":[94],"detection":[97,115],"vision":[98,116],"foundation":[99,117],"proposed.":[102],"By":[103],"introducing":[104],"into":[107],"Siamese":[108],"architecture,":[110],"proposed":[112,143],"capable":[120],"capturing":[122],"long-range":[123],"dependencies":[124],"information.":[127],"A":[128],"refinement":[129],"block":[130],"utilized":[132],"merge":[134],"detail,":[136],"where":[137],"channel":[138],"attention":[139],"incorporated.":[141],"The":[142],"approach":[144],"achieved":[145],"excellent":[146],"performance":[147],"on":[148],"LEVIR-CD":[150],"WHU-CD":[152],"datasets.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}