{"id":"https://openalex.org/W4416203306","doi":"https://doi.org/10.1109/jstars.2025.3631340","title":"SCFNet: A Swin-CNN Synergistic Fusion Network for Urban and Rural Water Extraction in Remote Sensing Images","display_name":"SCFNet: A Swin-CNN Synergistic Fusion Network for Urban and Rural Water Extraction in Remote Sensing Images","publication_year":2025,"publication_date":"2025-11-10","ids":{"openalex":"https://openalex.org/W4416203306","doi":"https://doi.org/10.1109/jstars.2025.3631340"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3631340","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3631340","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2025.3631340","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhicheng Pan","orcid":"https://orcid.org/0009-0002-4382-3931"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicheng Pan","raw_affiliation_strings":["Remote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0002-4382-3931","affiliations":[{"raw_affiliation_string":"Remote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108831689","display_name":"Xiaopeng Wang","orcid":"https://orcid.org/0009-0005-8965-7758"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaopeng Wang","raw_affiliation_strings":["Remote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0005-8965-7758","affiliations":[{"raw_affiliation_string":"Remote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752524","display_name":"Jiahua Zhang","orcid":"https://orcid.org/0000-0002-2894-9627"},"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/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":"Jiahua Zhang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2894-9627","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019546610","display_name":"Xiaodi Shang","orcid":"https://orcid.org/0000-0002-0133-8447"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodi Shang","raw_affiliation_strings":["Remote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-0133-8447","affiliations":[{"raw_affiliation_string":"Remote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weichao Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weichao Zhao","raw_affiliation_strings":["Remote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104493451","display_name":"G.H Gong","orcid":"https://orcid.org/0009-0006-4052-4177"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gu Gong","raw_affiliation_strings":["Remote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0006-4052-4177","affiliations":[{"raw_affiliation_string":"Remote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Huipeng Wang","orcid":"https://orcid.org/0009-0007-5645-2152"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huipeng Wang","raw_affiliation_strings":["Remote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0007-5645-2152","affiliations":[{"raw_affiliation_string":"Remote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101907348","display_name":"Jingcheng Li","orcid":"https://orcid.org/0000-0003-1846-9977"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingcheng Li","raw_affiliation_strings":["Remote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Information and Digital Earth Center, College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":["https://openalex.org/I108688024"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20337138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"1336","last_page":"1358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.974399983882904,"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":0.974399983882904,"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/T10647","display_name":"Coastal and Marine Dynamics","score":0.004600000102072954,"subfield":{"id":"https://openalex.org/subfields/1904","display_name":"Earth-Surface Processes"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12543","display_name":"Groundwater and Watershed Analysis","score":0.0020000000949949026,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5806000232696533},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5142999887466431},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4740000069141388},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43939998745918274},{"id":"https://openalex.org/keywords/water-resources","display_name":"Water resources","score":0.42750000953674316},{"id":"https://openalex.org/keywords/remote-sensing-application","display_name":"Remote sensing application","score":0.39419999718666077},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.3930000066757202},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.39010000228881836},{"id":"https://openalex.org/keywords/water-extraction","display_name":"Water extraction","score":0.3684000074863434}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6801000237464905},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.678600013256073},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5806000232696533},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5142999887466431},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4740000069141388},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43939998745918274},{"id":"https://openalex.org/C153823671","wikidata":"https://www.wikidata.org/wiki/Q1049799","display_name":"Water resources","level":2,"score":0.42750000953674316},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.39419999718666077},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3930000066757202},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.39010000228881836},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.382999986410141},{"id":"https://openalex.org/C2778395939","wikidata":"https://www.wikidata.org/wiki/Q2160967","display_name":"Water extraction","level":3,"score":0.3684000074863434},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3580999970436096},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.35030001401901245},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3409999907016754},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.33230000734329224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32919999957084656},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3028999865055084},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.290800005197525},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C1284942","wikidata":"https://www.wikidata.org/wiki/Q1929501","display_name":"Water level","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.26030001044273376}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3631340","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3631340","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2e400a57e6964c48b40bb86b0bca09c4","is_oa":true,"landing_page_url":"https://doaj.org/article/2e400a57e6964c48b40bb86b0bca09c4","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 19, Pp 1336-1358 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3631340","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3631340","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1892826682","display_name":null,"funder_award_id":"ZR2020QF067","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7638315570","display_name":null,"funder_award_id":"ZR2024LQX005","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"monitoring":[1],"of":[2,34,167],"water":[3,37,59,156,174,183,196,211],"resources":[4],"is":[5,82],"essential":[6],"for":[7,145,154],"disaster":[8],"risk":[9],"reduction":[10],"and":[11,54,110,115,125,151,193,209],"sustainable":[12],"development":[13],"amid":[14],"global":[15,108],"climate":[16],"change.":[17],"At":[18],"present,":[19],"various":[20],"methods":[21],"based":[22],"on":[23,130],"convolutional":[24,41],"neural":[25,42],"networks":[26],"are":[27],"widely":[28],"used":[29],"in":[30,84,171,202],"the":[31,138,159,165,168],"research":[32],"field":[33],"remote":[35,133],"sensing":[36,134],"extraction.":[38],"However,":[39],"traditional":[40],"network-based":[43],"methods,":[44],"constrained":[45],"by":[46],"limited":[47],"receptive":[48],"fields,":[49],"often":[50],"yield":[51],"discontinuous":[52],"boundaries":[53,175,188],"fail":[55],"to":[56,66,95,103,119,189],"detect":[57],"fragmented":[58,194],"regions,":[60],"while":[61],"Transformer-based":[62],"models":[63],"lack":[64],"sensitivity":[65],"capture":[67],"fine-grained":[68],"spatial":[69,97],"features.":[70],"To":[71],"address":[72],"these":[73],"above":[74],"limitations,":[75],"a":[76,91,99],"novel":[77],"Swin-CNN":[78],"Synergistic":[79],"Fusion":[80,93,116],"Network":[81],"proposed":[83,139,169],"this":[85],"study,which":[86],"integrates":[87],"three":[88],"core":[89],"modules:":[90],"Cross-Window":[92],"Module":[94,117],"enhance":[96],"continuity,":[98],"Bidirectional":[100],"Feature":[101],"Bridge":[102],"connect":[104],"local":[105],"details":[106],"with":[107],"semantics,":[109],"an":[111],"Adaptive":[112],"Multi-level":[113],"Alignment":[114],"strategy":[118],"mitigate":[120],"semantic":[121],"inconsistency":[122],"between":[123],"deep":[124],"shallow":[126],"layers.":[127],"Experiments":[128],"conducted":[129],"two":[131],"benchmark":[132],"datasets":[135],"demonstrate":[136],"that":[137],"method":[140,170],"achieves":[141],"97.84%":[142],"segmentation":[143],"accuracy":[144,153],"coastline":[146],"delineation":[147],"using":[148,158],"GF":[149],"dataset,":[150],"96.29%":[152],"inland":[155],"extraction":[157],"GID-WD":[160],"dataset.":[161],"These":[162],"results":[163],"highlight":[164],"effectiveness":[166],"accurately":[172],"extracting":[173],"under":[176],"complex":[177],"environmental":[178],"conditions,":[179],"enabling":[180],"precise":[181],"multi-scale":[182],"extraction\u2014ranging":[184],"from":[185],"decameter-level":[186],"coastal":[187,206],"meter-level":[190],"lakes,":[191],"rivers,":[192],"small":[195],"bodies\u2014and":[197],"underscore":[198],"its":[199],"potential":[200],"applications":[201],"flood":[203],"early":[204],"warning,":[205],"zone":[207],"protection,":[208],"urban":[210],"resource":[212],"management.":[213]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-11-10T00:00:00"}