{"id":"https://openalex.org/W4406921702","doi":"https://doi.org/10.1109/lgrs.2025.3535524","title":"SOLSTM: Multisource Information Fusion Semantic Segmentation Network Based on SAR-OPT Matching Attention and Long Short-Term Memory Network","display_name":"SOLSTM: Multisource Information Fusion Semantic Segmentation Network Based on SAR-OPT Matching Attention and Long Short-Term Memory Network","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406921702","doi":"https://doi.org/10.1109/lgrs.2025.3535524"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3535524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3535524","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/A5101975150","display_name":"Hao Chang","orcid":"https://orcid.org/0000-0002-5142-7181"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Chang","raw_affiliation_strings":["School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5142-7181","affiliations":[{"raw_affiliation_string":"School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052386527","display_name":"Xiongjun Fu","orcid":"https://orcid.org/0000-0002-0607-9296"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongjun Fu","raw_affiliation_strings":["School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0607-9296","affiliations":[{"raw_affiliation_string":"School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024441787","display_name":"Kun-Yi Guo","orcid":"https://orcid.org/0000-0003-2965-5193"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunyi Guo","raw_affiliation_strings":["School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2965-5193","affiliations":[{"raw_affiliation_string":"School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008141914","display_name":"Jian Dong","orcid":"https://orcid.org/0000-0002-3302-4477"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Dong","raw_affiliation_strings":["School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3302-4477","affiliations":[{"raw_affiliation_string":"School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062760943","display_name":"Jialin Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialin Guan","raw_affiliation_strings":["Beijing Institute of Remote Sensing Equipment, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Remote Sensing Equipment, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"last","author":{"id":null,"display_name":"Chuyi Liu","orcid":"https://orcid.org/0009-0001-9210-3028"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuyi Liu","raw_affiliation_strings":["School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-9210-3028","affiliations":[{"raw_affiliation_string":"School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.168,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.98011741,"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/T13018","display_name":"Seismology and Earthquake Studies","score":0.8682000041007996,"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/T13018","display_name":"Seismology and Earthquake Studies","score":0.8682000041007996,"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.8608999848365784,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"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/T11698","display_name":"Underwater Acoustics Research","score":0.8083000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7630700469017029},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6586066484451294},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5064483880996704},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4906877279281616},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4835674464702606},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.44507938623428345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4244902729988098}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7630700469017029},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6586066484451294},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5064483880996704},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4906877279281616},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4835674464702606},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.44507938623428345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4244902729988098},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3535524","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3535524","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2564730549","https://openalex.org/W2787091153","https://openalex.org/W2963881378","https://openalex.org/W4200556575","https://openalex.org/W4229058281","https://openalex.org/W4322631283","https://openalex.org/W4388756939","https://openalex.org/W4389104855","https://openalex.org/W4391100112"],"related_works":["https://openalex.org/W2980611886","https://openalex.org/W42295635","https://openalex.org/W1973996291","https://openalex.org/W2330575325","https://openalex.org/W2163803519","https://openalex.org/W2497592525","https://openalex.org/W3096145648","https://openalex.org/W2355579697","https://openalex.org/W4360871138","https://openalex.org/W3208972923"],"abstract_inverted_index":{"With":[0],"the":[1,9,33,98,170,180,206,227],"significant":[2,85],"advancements":[3],"in":[4,12,62,88,192],"deep":[5],"learning":[6],"technology":[7],"and":[8,29,53,96,112,122,127,164,199,220],"substantial":[10],"improvement":[11],"remote":[13,17,37],"sensing":[14,18,38],"image":[15,150,201,224],"resolution,":[16],"semantic":[19,115],"segmentation":[20,103,116,202],"has":[21,212],"garnered":[22],"widespread":[23],"attention.":[24],"Synthetic":[25],"aperture":[26],"radar":[27],"(SAR)":[28],"optical":[30,57,123],"images":[31,44,58,124],"are":[32,84],"primary":[34],"sources":[35],"of":[36,161,174,230],"data,":[39,177],"offering":[40],"complementary":[41],"information.":[42,166],"SAR":[43,121],"can":[45,71],"capture":[46],"surface":[47,80],"information":[48,75,191],"even":[49],"under":[50],"cloud":[51],"cover":[52],"at":[54],"night,":[55],"whereas":[56],"provide":[59],"higher":[60],"resolution":[61],"clear":[63],"weather":[64],"conditions.":[65],"Deep":[66],"learning-based":[67],"feature":[68,162],"fusion":[69,114,155,229],"methods":[70],"effectively":[72],"integrate":[73],"multisource":[74,89,139,149],"to":[76,94,131,168,187,217],"obtain":[77],"more":[78],"comprehensive":[79,159],"data.":[81],"However,":[82],"there":[83],"spatiotemporal":[86],"differences":[87],"information,":[90],"making":[91],"it":[92],"challenging":[93],"select":[95],"extract":[97],"most":[99],"discriminative":[100],"features":[101,151],"for":[102],"tasks.":[104],"To":[105,137],"address":[106],"this,":[107],"we":[108,142,178],"propose":[109],"a":[110,133],"lightweight":[111],"efficient":[113],"network,":[117],"SOLSTM,":[118],"which":[119,147,183],"mixes":[120],"as":[125],"inputs":[126],"performs":[128],"cyclic":[129],"cross-fusion":[130],"establish":[132],"new":[134],"network":[135],"paradigm.":[136],"tackle":[138],"data":[140],"heterogeneity,":[141],"introduce":[143,179],"SAR-OPT":[144],"matching":[145],"attention,":[146],"aggregates":[148],"by":[152],"adaptively":[153],"adjusting":[154],"weights,":[156],"thereby":[157],"achieving":[158,215],"perception":[160],"channels":[163],"contextual":[165,190],"Additionally,":[167],"mitigate":[169],"high":[171],"computational":[172,197],"complexity":[173,198],"processing":[175],"multidimensional":[176],"mLSTM":[181],"block,":[182],"employs":[184],"linear":[185],"operations":[186],"mine":[188],"global":[189],"fused":[193],"images,":[194],"thus":[195],"reducing":[196],"enhancing":[200],"performance.":[203],"Experiments":[204],"on":[205],"WHU-OPT-SAR":[207],"dataset":[208],"show":[209],"that":[210],"SOLSTM":[211],"excellent":[213],"performance,":[214],"up":[216],"52.9":[218],"mIoU":[219],"outperforming":[221],"single":[222],"source":[223],"segmentation,":[225],"verifying":[226],"effective":[228],"OPT-SAR.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
