{"id":"https://openalex.org/W4402265207","doi":"https://doi.org/10.1109/igarss53475.2024.10641935","title":"Water Body Extraction from SAR and Multi-Source Data Using Siamese Network-Based Segmentation","display_name":"Water Body Extraction from SAR and Multi-Source Data Using Siamese Network-Based Segmentation","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402265207","doi":"https://doi.org/10.1109/igarss53475.2024.10641935"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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/A5057382261","display_name":"Ting Liu","orcid":"https://orcid.org/0000-0003-3458-6567"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ting Liu","raw_affiliation_strings":["PIESAT Information Technology Co, Ltd.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"PIESAT Information Technology Co, Ltd.,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044581974","display_name":"Mengke Yuan","orcid":"https://orcid.org/0000-0001-9277-2654"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mengke Yuan","raw_affiliation_strings":["PIESAT Information Technology Co, Ltd.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"PIESAT Information Technology Co, Ltd.,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106405784","display_name":"Chaoran Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chaoran Lu","raw_affiliation_strings":["PIESAT Information Technology Co, Ltd.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"PIESAT Information Technology Co, Ltd.,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016005763","display_name":"Kaixuan Lu","orcid":"https://orcid.org/0000-0003-3553-4849"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaixuan Lu","raw_affiliation_strings":["PIESAT Information Technology Co, Ltd.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"PIESAT Information Technology Co, Ltd.,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020161682","display_name":"Baochai Peng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baochai Peng","raw_affiliation_strings":["PIESAT Information Technology Co, Ltd.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"PIESAT Information Technology Co, Ltd.,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058246963","display_name":"Heyang Duan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heyang Duan","raw_affiliation_strings":["PIESAT Information Technology Co, Ltd.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"PIESAT Information Technology Co, Ltd.,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100683217","display_name":"Mengya Li","orcid":"https://orcid.org/0000-0001-6712-1868"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mengya Li","raw_affiliation_strings":["PIESAT Information Technology Co, Ltd.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"PIESAT Information Technology Co, Ltd.,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027620525","display_name":"Pan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pan Zhang","raw_affiliation_strings":["PIESAT Information Technology Co, Ltd.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"PIESAT Information Technology Co, Ltd.,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453690","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0003-3010-9624"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["PIESAT Information Technology Co, Ltd.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"PIESAT Information Technology Co, Ltd.,Beijing,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046677424","display_name":"Tongkui Liao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tongkui Liao","raw_affiliation_strings":["PIESAT Information Technology Co, Ltd.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"PIESAT Information Technology Co, Ltd.,Beijing,China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5057382261"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0242,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75606073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"772","last_page":"775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9678000211715698,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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":0.9668999910354614,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7152711749076843},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.6651862859725952},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6419398784637451},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5216569900512695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4941582977771759},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4538220167160034},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39815571904182434},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34695500135421753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152711749076843},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.6651862859725952},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6419398784637451},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5216569900512695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4941582977771759},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4538220167160034},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39815571904182434},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34695500135421753},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2037206507","https://openalex.org/W2361563943","https://openalex.org/W2884822772","https://openalex.org/W2987934705","https://openalex.org/W3135065966","https://openalex.org/W3138516171","https://openalex.org/W3210789979","https://openalex.org/W4306946093","https://openalex.org/W4312443924","https://openalex.org/W4377079808","https://openalex.org/W4388468943","https://openalex.org/W4402727033","https://openalex.org/W6860367492"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W1522196789","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2082269393"],"abstract_inverted_index":{"Extracting":[0],"water":[1,27],"bodies":[2],"using":[3],"C-band":[4],"synthetic":[5],"aperture":[6],"radar":[7],"(SAR)":[8],"images":[9],"has":[10],"high":[11],"reliability.":[12],"However,":[13],"the":[14,81,89,151,155],"limited":[15],"backscatter":[16],"sensitivity":[17],"of":[18,83,91,171],"SAR":[19],"data":[20,53,85],"makes":[21],"it":[22],"difficult":[23],"to":[24,143],"differentiate":[25],"between":[26],"and":[28,36,58,70,104,140],"other":[29],"features":[30],"such":[31,66,133],"as":[32,61,63,67,134],"roads,":[33],"building":[34],"shadows,":[35],"more.":[37],"To":[38],"tackle":[39],"these":[40,84],"issues,":[41],"we":[42,48,78,95,129],"have":[43,49,79,96,130],"implemented":[44],"several":[45],"strategies:":[46],"Firstly,":[47],"augmented":[50],"our":[51,113,148],"input":[52],"by":[54],"incorporating":[55],"polarized":[56],"VV":[57],"VH":[59],"data,":[60],"well":[62],"additional":[64],"modalities":[65],"DTM,":[68],"DSM,":[69],"land":[71],"use":[72],"information.":[73],"Through":[74],"rigorous":[75],"ablation":[76],"studies,":[77],"validated":[80],"efficacy":[82],"modalities,":[86],"even":[87],"in":[88,125,154],"presence":[90],"potential":[92],"inaccuracies.":[93],"Secondly,":[94],"constructed":[97],"a":[98,122],"Siamese":[99],"network":[100],"for":[101],"feature":[102,118],"extraction":[103,119],"fusion":[105],"across":[106],"multiple":[107],"modalities.":[108],"Experimental":[109],"results":[110],"reveal":[111],"that":[112],"proposed":[114],"framework":[115],"surpasses":[116],"traditional":[117],"methods,":[120],"yielding":[121],"0.8%":[123],"increase":[124],"F1":[126,169],"score.":[127],"Finally,":[128],"employed":[131],"techniques":[132],"stochastic":[135],"multi-scale":[136],"training,":[137,139],"two-stage":[138],"model":[141],"ensemble":[142],"further":[144],"enhance":[145],"performance.":[146],"Notably,":[147],"method":[149],"secured":[150],"second":[152],"position":[153],"2024":[156],"IEEE":[157],"GRSS":[158],"Data":[159],"Fusion":[160],"Contest":[161],"(DFC)":[162],"Track":[163],"1":[164],"test":[165],"phase,":[166],"achieving":[167],"an":[168],"score":[170],"79.170%.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
