{"id":"https://openalex.org/W4411631832","doi":"https://doi.org/10.1145/3731715.3733285","title":"CCDCNet: Cross-Modal Change Detection CNN for Flood Mapping","display_name":"CCDCNet: Cross-Modal Change Detection CNN for Flood Mapping","publication_year":2025,"publication_date":"2025-06-25","ids":{"openalex":"https://openalex.org/W4411631832","doi":"https://doi.org/10.1145/3731715.3733285"},"language":"en","primary_location":{"id":"doi:10.1145/3731715.3733285","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731715.3733285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053505132","display_name":"Y. Li","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yacheng Li","raw_affiliation_strings":["Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0009-0005-2830-3921","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108048107","display_name":"Juan Luo","orcid":"https://orcid.org/0000-0002-0858-427X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Luo","raw_affiliation_strings":["Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-0858-427X","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kexuan Feng","orcid":"https://orcid.org/0009-0001-6670-9819"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kexuan Feng","raw_affiliation_strings":["Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0009-0001-6670-9819","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109622140","display_name":"S. H. Teng","orcid":"https://orcid.org/0000-0003-1665-3797"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyang Teng","raw_affiliation_strings":["Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0003-1665-3797","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028914255","display_name":"Ying Qiao","orcid":"https://orcid.org/0000-0001-5142-9577"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Qiao","raw_affiliation_strings":["Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-5142-9577","affiliations":[{"raw_affiliation_string":"Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053505132"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.8761,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7316682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"743","last_page":"751"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9842000007629395,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/modal","display_name":"Modal","score":0.740555465221405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6839061975479126},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6059843897819519},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.4896734058856964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4285355806350708},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15350988507270813}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.740555465221405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6839061975479126},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6059843897819519},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.4896734058856964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4285355806350708},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15350988507270813},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3731715.3733285","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731715.3733285","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2772136803","https://openalex.org/W2884585870","https://openalex.org/W2901919361","https://openalex.org/W2914661773","https://openalex.org/W2950493522","https://openalex.org/W2964309882","https://openalex.org/W2967822867","https://openalex.org/W3087408134","https://openalex.org/W3170089617","https://openalex.org/W3199198838","https://openalex.org/W3210281071","https://openalex.org/W4200538468","https://openalex.org/W4200556575","https://openalex.org/W4200575156","https://openalex.org/W4225379495","https://openalex.org/W4285197663","https://openalex.org/W4296871854","https://openalex.org/W4311774097","https://openalex.org/W4313032421","https://openalex.org/W4317566050","https://openalex.org/W4389742473","https://openalex.org/W4390746878","https://openalex.org/W4399990274","https://openalex.org/W4401412509"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345"],"abstract_inverted_index":{"Flood":[0],"mapping":[1],"using":[2],"satellite":[3],"remote":[4,36],"sensing":[5,37],"images":[6],"plays":[7],"an":[8,161],"important":[9],"role":[10],"in":[11,25,60,120,150],"disaster":[12],"monitoring":[13],"and":[14,31,65,157],"emergency":[15],"response.":[16],"However,":[17],"traditional":[18],"change":[19,48,57],"detection":[20,49,58],"methods":[21],"encounter":[22],"dual":[23],"challenges":[24],"complex":[26,111],"environments:":[27],"ambiguous":[28],"flood":[29,56,90,167],"delineation":[30],"inadequate":[32],"fusion":[33],"of":[34],"multi-source":[35],"data.":[38],"To":[39],"address":[40],"these":[41],"limitations,":[42],"we":[43],"propose":[44],"the":[45,81,85,106,114,121,137],"improved":[46],"cross-modal":[47,55,165],"CNN":[50],"(CCDCNet),":[51],"specifically":[52],"designed":[53,76,99],"for":[54,129,164],"tasks":[59],"synthetic":[61],"aperture":[62],"radar":[63],"(SAR)":[64],"multispectral":[66],"images.":[67],"This":[68],"network":[69,86],"adopts":[70],"a":[71],"dual-stream":[72],"encoder-decoder":[73],"structure.":[74],"We":[75],"RS_DBlock":[77],"module":[78,97],"to":[79,87,100,109,144],"expand":[80],"receptive":[82],"field,":[83],"enabling":[84],"capture":[88],"more":[89],"region":[91],"information":[92],"at":[93,174],"once.":[94],"The":[95,169],"RDC":[96],"is":[98,118],"achieve":[101],"multi-scale":[102],"feature":[103,131],"extraction,":[104],"enhancing":[105],"model's":[107],"ability":[108],"understand":[110],"scenes.":[112],"Additionally,":[113],"CBAM":[115],"residual":[116],"structure":[117],"introduced":[119],"decoding":[122],"part,":[123],"which":[124],"implements":[125],"channel-spatial":[126],"attention":[127],"mechanisms":[128],"adaptive":[130],"selection.":[132],"Experimental":[133],"results":[134],"demonstrate":[135],"that":[136],"proposed":[138],"method":[139],"achieves":[140],"performance":[141],"enhancement":[142],"compared":[143],"baseline":[145],"methods,":[146],"with":[147],"notable":[148],"improvements":[149],"key":[151],"metrics":[152],"such":[153],"as":[154],"mIoU,":[155],"Precision":[156],"F1":[158],"score,":[159],"providing":[160],"effective":[162],"solution":[163],"high-precision":[166],"mapping.":[168],"source":[170],"codes":[171],"are":[172],"available":[173],"https://github.com/llya6/CCDCNet.git":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-22T09:01:20.584952","created_date":"2025-10-10T00:00:00"}
