{"id":"https://openalex.org/W4392231743","doi":"https://doi.org/10.3390/rs16050844","title":"DTT-CGINet: A Dual Temporal Transformer Network with Multi-Scale Contour-Guided Graph Interaction for Change Detection","display_name":"DTT-CGINet: A Dual Temporal Transformer Network with Multi-Scale Contour-Guided Graph Interaction for Change Detection","publication_year":2024,"publication_date":"2024-02-28","ids":{"openalex":"https://openalex.org/W4392231743","doi":"https://doi.org/10.3390/rs16050844"},"language":"en","primary_location":{"id":"doi:10.3390/rs16050844","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16050844","pdf_url":"https://www.mdpi.com/2072-4292/16/5/844/pdf?version=1709133077","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/2072-4292/16/5/844/pdf?version=1709133077","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001312854","display_name":"Ming Chen","orcid":"https://orcid.org/0009-0003-9835-9432"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Chen","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074950607","display_name":"Wanshou Jiang","orcid":"https://orcid.org/0000-0002-3162-0566"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wanshou Jiang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103019932","display_name":"Zhou Yuan","orcid":"https://orcid.org/0000-0001-5559-0296"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zhou","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074950607"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.9439,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76475589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"16","issue":"5","first_page":"844","last_page":"844"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9872000217437744,"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/computer-science","display_name":"Computer science","score":0.8405131101608276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6513605117797852},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5707755088806152},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5600681900978088},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5488829612731934},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5123387575149536},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4510100781917572},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42124512791633606},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.41579416394233704},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3479864299297333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8405131101608276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6513605117797852},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5707755088806152},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5600681900978088},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5488829612731934},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5123387575149536},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4510100781917572},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42124512791633606},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.41579416394233704},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3479864299297333},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16050844","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16050844","pdf_url":"https://www.mdpi.com/2072-4292/16/5/844/pdf?version=1709133077","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:cf1ba009c0f740ed8f26cf9b3c651ff7","is_oa":true,"landing_page_url":"https://doaj.org/article/cf1ba009c0f740ed8f26cf9b3c651ff7","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 5, p 844 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16050844","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16050844","pdf_url":"https://www.mdpi.com/2072-4292/16/5/844/pdf?version=1709133077","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":"Reduced inequalities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1968332295","display_name":null,"funder_award_id":"06-Y30F04-9001-20/22","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8377523479","display_name":null,"funder_award_id":"42371452","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392231743.pdf"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W1139185857","https://openalex.org/W1979061792","https://openalex.org/W1997413270","https://openalex.org/W1998595580","https://openalex.org/W2006383776","https://openalex.org/W2015780366","https://openalex.org/W2076576187","https://openalex.org/W2132222679","https://openalex.org/W2134969826","https://openalex.org/W2138334515","https://openalex.org/W2138621090","https://openalex.org/W2162703409","https://openalex.org/W2163605009","https://openalex.org/W2166508941","https://openalex.org/W2169966850","https://openalex.org/W2170140722","https://openalex.org/W2194775991","https://openalex.org/W2221448138","https://openalex.org/W2248723555","https://openalex.org/W2497075055","https://openalex.org/W2540777836","https://openalex.org/W2804528682","https://openalex.org/W2805152403","https://openalex.org/W2884585870","https://openalex.org/W2890779863","https://openalex.org/W2891248708","https://openalex.org/W2896092083","https://openalex.org/W2908320224","https://openalex.org/W2922027847","https://openalex.org/W2944851425","https://openalex.org/W2951991161","https://openalex.org/W2963351448","https://openalex.org/W2983391997","https://openalex.org/W3004423752","https://openalex.org/W3027225766","https://openalex.org/W3036453075","https://openalex.org/W3099503507","https://openalex.org/W3107591966","https://openalex.org/W3120467244","https://openalex.org/W3130754787","https://openalex.org/W3139912591","https://openalex.org/W3144483443","https://openalex.org/W3152747703","https://openalex.org/W3159493336","https://openalex.org/W3165647589","https://openalex.org/W3176330035","https://openalex.org/W3186032668","https://openalex.org/W3193414609","https://openalex.org/W3214719104","https://openalex.org/W4206815672","https://openalex.org/W4220999688","https://openalex.org/W4226246368","https://openalex.org/W4226305459","https://openalex.org/W4226361741","https://openalex.org/W4285298122","https://openalex.org/W4285301526","https://openalex.org/W4311970716","https://openalex.org/W4312549298","https://openalex.org/W4318767292","https://openalex.org/W4381789302","https://openalex.org/W4385245566","https://openalex.org/W6684191040","https://openalex.org/W6739901393","https://openalex.org/W6754309021","https://openalex.org/W6790731625","https://openalex.org/W6791926410","https://openalex.org/W6794759749","https://openalex.org/W6796242362","https://openalex.org/W6797500923","https://openalex.org/W6799693294","https://openalex.org/W6800135027","https://openalex.org/W6804355222","https://openalex.org/W6810987806","https://openalex.org/W6849954485"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2568858292","https://openalex.org/W2183246718","https://openalex.org/W2099261052","https://openalex.org/W1515964938","https://openalex.org/W3209204065","https://openalex.org/W2389381914","https://openalex.org/W1755711892","https://openalex.org/W2160907113","https://openalex.org/W3135697610"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"has":[2],"dramatically":[3],"enhanced":[4],"remote":[5],"sensing":[6],"change":[7,35,190,196],"detection.":[8],"However,":[9],"existing":[10],"neural":[11],"network":[12],"models":[13],"often":[14,38],"face":[15],"challenges":[16],"like":[17,26],"false":[18],"positives":[19],"and":[20,31,67,153,179,192,221],"missed":[21],"detections":[22],"due":[23],"to":[24,40,72,81,103,146,163,182],"factors":[25],"lighting":[27],"changes,":[28],"scale":[29,118],"differences,":[30],"noise":[32],"interruptions.":[33],"Additionally,":[34],"detection":[36],"results":[37],"fail":[39],"capture":[41,104,147],"target":[42],"contours":[43],"accurately.":[44],"To":[45],"address":[46],"these":[47],"issues,":[48],"we":[49,59,77,95,129,157],"propose":[50],"a":[51,69,79,97,136],"novel":[52],"transformer-based":[53],"hybrid":[54],"network.":[55],"In":[56],"this":[57,74],"study,":[58],"analyze":[60],"the":[61,83,87,110,116,125,131,154,159,165,169,187,194,199],"structural":[62],"relationship":[63],"in":[64,216],"bi-temporal":[65,88],"images":[66],"introduce":[68],"cross-attention-based":[70],"transformer":[71,100],"model":[73,209],"relationship.":[75],"First,":[76],"use":[78,96,158],"tokenizer":[80],"express":[82],"high-level":[84],"features":[85,113,134],"of":[86,168,198,218],"image":[89],"into":[90,121,135],"several":[91],"semantic":[92,148],"tokens.":[93,111],"Then,":[94,156],"dual":[98],"temporal":[99],"(DTT)":[101],"encoder":[102],"dense":[105],"spatiotemporal":[106],"contextual":[107],"relationships":[108,149],"among":[109],"The":[112,171],"extracted":[114],"at":[115],"coarse":[117],"are":[119],"refined":[120],"finer":[122],"details":[123],"through":[124],"DTT":[126],"decoder.":[127],"Concurrently,":[128],"input":[130],"backbone\u2019s":[132],"low-level":[133],"contour-guided":[137],"graph":[138],"interaction":[139],"module":[140],"(CGIM)":[141],"that":[142,207],"utilizes":[143],"joint":[144],"attention":[145,174,181],"between":[150],"object":[151],"regions":[152],"contour.":[155],"feature":[160,184,201],"pyramid":[161],"decoder":[162],"integrate":[164],"multi-scale":[166],"outputs":[167],"CGIM.":[170],"convolutional":[172],"block":[173],"modules":[175],"(CBAMs)":[176],"employ":[177],"channel":[178],"spatial":[180],"reweight":[183],"maps.":[185],"Finally,":[186],"classifier":[188],"discriminates":[189],"pixels":[191],"generates":[193],"final":[195],"map":[197],"difference":[200],"map.":[202],"Several":[203],"experiments":[204],"have":[205],"demonstrated":[206],"our":[208],"shows":[210],"significant":[211],"advantages":[212],"over":[213],"other":[214],"methods":[215],"terms":[217],"efficiency,":[219],"accuracy,":[220],"visual":[222],"effects.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
