{"id":"https://openalex.org/W4406610488","doi":"https://doi.org/10.1109/lgrs.2025.3532334","title":"Enhanced-HisSegNet: Improved SAR Image Flood Segmentation With Learnable Histogram Layers and Active Contour Model","display_name":"Enhanced-HisSegNet: Improved SAR Image Flood Segmentation With Learnable Histogram Layers and Active Contour Model","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406610488","doi":"https://doi.org/10.1109/lgrs.2025.3532334"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3532334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3532334","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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 Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5024177595","display_name":"Maryam Asadi","orcid":"https://orcid.org/0000-0002-2510-3722"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Maryam Asadi","raw_affiliation_strings":["Department of Environmental Engineering, University of Tehran, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Environmental Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017391730","display_name":"Soroush Sarabi","orcid":"https://orcid.org/0000-0001-9420-8790"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Soroush Sarabi","raw_affiliation_strings":["Raderon AI Laboratory, Burnaby, BC, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9420-8790","affiliations":[{"raw_affiliation_string":"Raderon AI Laboratory, Burnaby, BC, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107201992","display_name":"Marjan Kordani","orcid":"https://orcid.org/0009-0001-1117-5661"},"institutions":[{"id":"https://openalex.org/I196051555","display_name":"Shahid Chamran University of Ahvaz","ror":"https://ror.org/01k3mbs15","country_code":"IR","type":"education","lineage":["https://openalex.org/I196051555"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Marjan Kordani","raw_affiliation_strings":["Department of Hydrology and Water Resources, Shahid Chamran University of Ahvaz, Ahvaz, Iran"],"raw_orcid":"https://orcid.org/0009-0001-1117-5661","affiliations":[{"raw_affiliation_string":"Department of Hydrology and Water Resources, Shahid Chamran University of Ahvaz, Ahvaz, Iran","institution_ids":["https://openalex.org/I196051555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015241316","display_name":"Mohsen Asghari Ilani","orcid":"https://orcid.org/0000-0003-0189-6956"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohsen Asghari Ilani","raw_affiliation_strings":["School of Electrical and Computer Engineering, The University of Oklahoma, Norman, OK, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, The University of Oklahoma, Norman, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068910901","display_name":"Yaser Mike Banad","orcid":"https://orcid.org/0000-0001-7339-810X"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaser Mike Banad","raw_affiliation_strings":["School of Electrical and Computer Engineering, The University of Oklahoma, Norman, OK, USA"],"raw_orcid":"https://orcid.org/0000-0001-7339-810X","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, The University of Oklahoma, Norman, OK, USA","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.7388,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.9869939,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9940999746322632,"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":0.9940999746322632,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9861000180244446,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.982699990272522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.7885589599609375},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6708968281745911},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6591482758522034},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6427014470100403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6254923939704895},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.597252368927002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.551315188407898},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5104526281356812},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4537737965583801},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3606416583061218},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3591580390930176},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.28950035572052}],"concepts":[{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.7885589599609375},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6708968281745911},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6591482758522034},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6427014470100403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6254923939704895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.597252368927002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.551315188407898},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5104526281356812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4537737965583801},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3606416583061218},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3591580390930176},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.28950035572052}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3532334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3532334","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2092413998","https://openalex.org/W2113891352","https://openalex.org/W2885158046","https://openalex.org/W2961348656","https://openalex.org/W3007268491","https://openalex.org/W3015788359","https://openalex.org/W3036059328","https://openalex.org/W4205652153","https://openalex.org/W4285283611","https://openalex.org/W4311774097","https://openalex.org/W4321232185","https://openalex.org/W4366547754","https://openalex.org/W4376154953","https://openalex.org/W4385859305","https://openalex.org/W4389976290","https://openalex.org/W4391074624","https://openalex.org/W4401879500"],"related_works":["https://openalex.org/W2387003628","https://openalex.org/W123102278","https://openalex.org/W2081609930","https://openalex.org/W2107628111","https://openalex.org/W2365596436","https://openalex.org/W163453029","https://openalex.org/W1522196789","https://openalex.org/W2885157826","https://openalex.org/W2159463658","https://openalex.org/W4388208420"],"abstract_inverted_index":{"The":[0,164],"synthetic":[1],"aperture":[2],"radar":[3],"(SAR)":[4],"imagery":[5],"plays":[6],"a":[7,59],"critical":[8],"role":[9],"in":[10,125],"flood":[11],"mapping":[12],"due":[13],"to":[14,17,97,122,142],"its":[15],"ability":[16],"capture":[18],"data":[19,76],"under":[20],"all-weather":[21],"and":[22,46,147,153,162],"day-and-night":[23],"conditions.":[24],"However,":[25],"the":[26,32,138,145],"existing":[27],"SAR":[28,75,107],"segmentation":[29,93,99,134],"methods,":[30],"including":[31],"state-of-the-art":[33],"HisSegNet,":[34],"face":[35],"challenges,":[36],"such":[37],"as":[38],"limited":[39],"generalization,":[40],"insufficient":[41],"utilization":[42],"of":[43,140],"SAR-specific":[44],"features,":[45],"suboptimal":[47],"performance":[48,118],"on":[49,105,155],"diverse":[50],"datasets.":[51],"To":[52],"address":[53],"these":[54],"limitations,":[55],"we":[56],"propose":[57],"enhanced-HisSegNet,":[58],"multimodal":[60],"fusion":[61],"strategy":[62],"that":[63,132],"builds":[64],"upon":[65],"HisSegNet":[66],"by":[67,136],"integrating":[68],"learnable":[69],"histogram":[70],"layers":[71],"(HLs)":[72],"tailored":[73],"for":[74,82,112,166],"with":[77,120],"active":[78],"contour":[79],"models":[80],"(ACMs)":[81],"precise":[83],"boundary":[84],"refinement.":[85],"These":[86],"components":[87],"are":[88],"embedded":[89],"into":[90],"fine-tuned":[91],"deep":[92],"neural":[94],"networks":[95],"(DSNNs)":[96],"improve":[98],"accuracy.":[100],"Our":[101],"model":[102],"was":[103],"evaluated":[104],"real":[106],"datasets,":[108,157],"employing":[109],"cross-dataset":[110],"validation":[111],"robustness.":[113],"Experimental":[114],"results":[115],"demonstrate":[116],"significant":[117],"gains,":[119],"up":[121],"10%":[123],"improvement":[124],"intersection":[126,141],"over":[127],"union":[128,143],"(IoU)\u2014a":[129],"key":[130],"metric":[131],"measures":[133],"accuracy":[135],"computing":[137],"ratio":[139],"between":[144],"predicted":[146],"ground":[148],"truth":[149],"regions\u2014on":[150],"internal":[151],"datasets":[152],"4%":[154],"external":[156],"showcasing":[158],"enhanced":[159],"accuracy,":[160],"robustness,":[161],"applicability.":[163],"code":[165],"this":[167],"work":[168],"is":[169],"available":[170],"athttps://github.com/Mohsena1990/Enhanced-HistSegNet.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}