{"id":"https://openalex.org/W4414165886","doi":"https://doi.org/10.1109/jstars.2025.3607852","title":"Multiscale Feature Enhancement for Water Body Segmentation in High-Resolution Remote Sensing Images","display_name":"Multiscale Feature Enhancement for Water Body Segmentation in High-Resolution Remote Sensing Images","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414165886","doi":"https://doi.org/10.1109/jstars.2025.3607852"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3607852","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3607852","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2025.3607852","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yonghong Zhang","orcid":"https://orcid.org/0009-0008-2863-5573"},"institutions":[{"id":"https://openalex.org/I2801670068","display_name":"American Society for Photogrammetry and Remote Sensing","ror":"https://ror.org/041v7ky66","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2801670068"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yonghong Zhang","raw_affiliation_strings":["First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x2019;an, China","First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0008-2863-5573","affiliations":[{"raw_affiliation_string":"First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I2801670068"]},{"raw_affiliation_string":"First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I2801670068"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hongtao Han","orcid":null},"institutions":[{"id":"https://openalex.org/I2801670068","display_name":"American Society for Photogrammetry and Remote Sensing","ror":"https://ror.org/041v7ky66","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2801670068"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongtao Han","raw_affiliation_strings":["First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x2019;an, China","First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x0027;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I2801670068"]},{"raw_affiliation_string":"First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I2801670068"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100749538","display_name":"Peng Xu","orcid":"https://orcid.org/0000-0002-1531-5078"},"institutions":[{"id":"https://openalex.org/I2801670068","display_name":"American Society for Photogrammetry and Remote Sensing","ror":"https://ror.org/041v7ky66","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2801670068"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peigang Xu","raw_affiliation_strings":["First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x2019;an, China","First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x0027;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I2801670068"]},{"raw_affiliation_string":"First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I2801670068"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Longsi Ran","orcid":null},"institutions":[{"id":"https://openalex.org/I2801670068","display_name":"American Society for Photogrammetry and Remote Sensing","ror":"https://ror.org/041v7ky66","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2801670068"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Longsi Ran","raw_affiliation_strings":["First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x2019;an, China","First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x0027;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I2801670068"]},{"raw_affiliation_string":"First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I2801670068"]}]},{"author_position":"last","author":{"id":null,"display_name":"Youzheng Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I2801670068","display_name":"American Society for Photogrammetry and Remote Sensing","ror":"https://ror.org/041v7ky66","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2801670068"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Youzheng Sun","raw_affiliation_strings":["First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x2019;an, China","First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x0027;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I2801670068"]},{"raw_affiliation_string":"First Institute of Photogrammetry and Remote Sensing, Ministry of Natural Resources, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I2801670068"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2801670068"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":2.0184,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88573863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"18","issue":null,"first_page":"25781","last_page":"25793"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.968500018119812,"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"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.968500018119812,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9373999834060669,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9294000267982483,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6854000091552734},{"id":"https://openalex.org/keywords/water-body","display_name":"Water body","score":0.6621999740600586},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5940999984741211},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.590499997138977},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5577999949455261},{"id":"https://openalex.org/keywords/remote-sensing-application","display_name":"Remote sensing application","score":0.5386000275611877},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5382999777793884},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.48649999499320984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7630000114440918},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7368999719619751},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6854000091552734},{"id":"https://openalex.org/C2986309107","wikidata":"https://www.wikidata.org/wiki/Q15324","display_name":"Water body","level":2,"score":0.6621999740600586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6140999794006348},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5940999984741211},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.590499997138977},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5577999949455261},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.5386000275611877},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5382999777793884},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.48649999499320984},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4514999985694885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4447000026702881},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.43860000371932983},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4343000054359436},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3612000048160553},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.35850000381469727},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.3418000042438507},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26759999990463257},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2653999924659729},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26179999113082886}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3607852","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3607852","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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:db9dfb88e7804a3caea217b5fe2bcc4a","is_oa":true,"landing_page_url":"https://doaj.org/article/db9dfb88e7804a3caea217b5fe2bcc4a","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 18, Pp 25781-25793 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3607852","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3607852","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"study":[1],"addresses":[2],"the":[3,54,65,113],"challenges":[4],"of":[5,14,87,106,119,127,140,147],"limited":[6],"automation":[7],"in":[8,21,73,157],"water":[9,38,75,159,179,184],"body":[10,39,76,160,180],"extraction,":[11],"inadequate":[12],"delineation":[13],"edge":[15,77],"details,":[16],"and":[17,63,97,121,134,142,144,149,165,173,182],"insufficient":[18],"feature":[19,36,61],"extraction":[20],"multiregional":[22,178],"high-resolution":[23,45,90],"remote":[24,46,91,196],"sensing":[25,47,92,197],"images.":[26,48],"To":[27],"address":[28],"these":[29],"issues,":[30],"we":[31],"propose":[32],"a":[33,84,103,190],"novel":[34],"multiscale":[35,60],"enhancement":[37],"segmentation":[40,71,200],"(MSFE-WaterSeg)":[41],"framework,":[42],"tailored":[43],"for":[44,59,177,194],"The":[49,79,109,152],"method":[50,115,153],"uses":[51],"ConvNeXt":[52],"as":[53],"backbone":[55],"network,":[56],"integrates":[57],"UPerNet":[58],"fusion,":[62],"introduces":[64],"LovaszLoss":[66],"loss":[67],"function":[68],"to":[69,130],"enhance":[70],"precision":[72],"complex":[74],"areas.":[78],"model":[80],"is":[81],"trained":[82],"on":[83,99],"custom-built":[85],"dataset":[86],"80":[88],"000":[89],"images":[93,101],"from":[94],"multiple":[95],"countries,":[96],"evaluated":[98],"8500":[100],"at":[102],"cartographic":[104],"scale":[105],"1:50":[107],"000.":[108],"results":[110],"demonstrate":[111],"that":[112],"MSFE-WaterSeg":[114,136],"achieves":[116],"an":[117,122],"accuracy":[118],"99.43%":[120],"intersection":[123],"over":[124],"union":[125],"(IoU)":[126],"90.20%.":[128],"Compared":[129],"benchmark":[131],"models":[132],"UPerNet-Swin-T":[133],"UPerNet-ResNet-34,":[135],"yields":[137],"IoU":[138],"improvements":[139],"1.29%":[141],"6.8%":[143],"F1-Score":[145],"gains":[146],"0.71%":[148],"4.34%,":[150],"respectively.":[151],"exhibits":[154],"superior":[155],"performance":[156],"intricate":[158],"boundaries,":[161],"narrow":[162],"fluvial":[163],"structures,":[164],"water\u2013land":[166],"transition":[167],"zones.":[168],"These":[169],"findings":[170],"offer":[171],"efficient":[172],"reliable":[174],"technical":[175],"support":[176],"interpretation":[181],"global":[183],"resource":[185],"monitoring,":[186],"while":[187],"also":[188],"providing":[189],"feasible":[191],"optimization":[192],"strategy":[193],"large-scale":[195],"image":[198],"semantic":[199],"tasks.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-22T09:01:20.584952","created_date":"2025-10-10T00:00:00"}
