{"id":"https://openalex.org/W4408353726","doi":"https://doi.org/10.1109/icassp49660.2025.10888896","title":"UV-Mamba: A DCN-Enhanced State Space Model for Urban Village Boundary Identification in High-Resolution Remote Sensing Images","display_name":"UV-Mamba: A DCN-Enhanced State Space Model for Urban Village Boundary Identification in High-Resolution Remote Sensing Images","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408353726","doi":"https://doi.org/10.1109/icassp49660.2025.10888896"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101896847","display_name":"Lulin Li","orcid":"https://orcid.org/0000-0003-3063-4293"},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lulin Li","raw_affiliation_strings":["Qinghai University,School of Computer Technology and Applications,Xining,China"],"affiliations":[{"raw_affiliation_string":"Qinghai University,School of Computer Technology and Applications,Xining,China","institution_ids":["https://openalex.org/I116265982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428803","display_name":"Ben M. Chen","orcid":"https://orcid.org/0000-0002-3839-5787"},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ben Chen","raw_affiliation_strings":["Qinghai University,School of Computer Technology and Applications,Xining,China"],"affiliations":[{"raw_affiliation_string":"Qinghai University,School of Computer Technology and Applications,Xining,China","institution_ids":["https://openalex.org/I116265982"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035082721","display_name":"Xuechao Zou","orcid":"https://orcid.org/0000-0002-3743-7738"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuechao Zou","raw_affiliation_strings":["Beijing Jiaotong University,School of Computer Science and Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,School of Computer Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076090670","display_name":"Junliang Xing","orcid":"https://orcid.org/0000-0001-6801-0510"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junliang Xing","raw_affiliation_strings":["Tsinghua University,Department of Computer Science and Technology,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Computer Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062306214","display_name":"Pin Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I116265982","display_name":"Qinghai University","ror":"https://ror.org/05h33bt13","country_code":"CN","type":"education","lineage":["https://openalex.org/I116265982"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pin Tao","raw_affiliation_strings":["Qinghai University,School of Computer Technology and Applications,Xining,China"],"affiliations":[{"raw_affiliation_string":"Qinghai University,School of Computer Technology and Applications,Xining,China","institution_ids":["https://openalex.org/I116265982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101896847"],"corresponding_institution_ids":["https://openalex.org/I116265982"],"apc_list":null,"apc_paid":null,"fwci":8.403,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.9739032,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.979200005531311,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9161999821662903,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/identification","display_name":"Identification (biology)","score":0.7111020684242249},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6325914263725281},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6120433807373047},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5224451422691345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5023436546325684},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4714958071708679},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.42566120624542236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40519773960113525},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23690152168273926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15027207136154175},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0797460675239563}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7111020684242249},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6325914263725281},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6120433807373047},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5224451422691345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5023436546325684},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4714958071708679},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.42566120624542236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40519773960113525},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23690152168273926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15027207136154175},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0797460675239563},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1901129140","https://openalex.org/W1979895227","https://openalex.org/W2032306335","https://openalex.org/W2069282142","https://openalex.org/W2075804492","https://openalex.org/W2135868906","https://openalex.org/W2340897893","https://openalex.org/W2344091130","https://openalex.org/W2560023338","https://openalex.org/W2601564443","https://openalex.org/W2744389347","https://openalex.org/W2962914239","https://openalex.org/W2968308528","https://openalex.org/W2982671374","https://openalex.org/W3025050498","https://openalex.org/W3031127588","https://openalex.org/W3202330794","https://openalex.org/W3211490618","https://openalex.org/W4294643358","https://openalex.org/W4385245566","https://openalex.org/W4386076222","https://openalex.org/W4387171313","https://openalex.org/W4389618384","https://openalex.org/W4390874575","https://openalex.org/W4392910325","https://openalex.org/W4393160910","https://openalex.org/W4400448280","https://openalex.org/W4401328303","https://openalex.org/W4401418507","https://openalex.org/W4402727033","https://openalex.org/W4402979727","https://openalex.org/W6757817989","https://openalex.org/W6771497439","https://openalex.org/W6792695861","https://openalex.org/W6842806116","https://openalex.org/W6859298233","https://openalex.org/W6861342692","https://openalex.org/W6861387779","https://openalex.org/W6863679278"],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W2898732673","https://openalex.org/W2410053581","https://openalex.org/W1987967678","https://openalex.org/W2383658677","https://openalex.org/W3123203398","https://openalex.org/W1517180214","https://openalex.org/W2633218168","https://openalex.org/W2082780921"],"abstract_inverted_index":{"Due":[0],"to":[1,100],"the":[2,11,50,102,128,142],"diverse":[3],"geographical":[4],"environments,":[5],"intricate":[6],"landscapes,":[7],"and":[8,32,80,97,124,130,138,154,162],"high-density":[9],"settlements,":[10],"automatic":[12],"identification":[13],"of":[14,136],"urban":[15],"village":[16],"boundaries":[17],"using":[18],"remote":[19,45],"sensing":[20,46],"images":[21],"remains":[22],"a":[23,30,98],"highly":[24],"challenging":[25],"task.":[26],"This":[27],"paper":[28],"proposes":[29],"novel":[31],"efficient":[33,93],"neural":[34],"network":[35],"model":[36,121,145],"called":[37],"UV-Mamba":[38,48,115],"for":[39,92],"accurate":[40],"boundary":[41],"detection":[42],"in":[43,54,60,151,157],"high-resolution":[44],"images.":[47],"mitigates":[49],"memory":[51],"loss":[52],"problem":[53],"lengthy":[55],"sequence":[56],"modeling,":[57],"which":[58],"arises":[59],"state":[61,87],"space":[62,88],"models":[63,164],"(SSM)":[64],"with":[65,84],"increasing":[66],"image":[67],"size,":[68],"by":[69],"incorporating":[70],"deformable":[71,86],"convolutions":[72],"(DCN).":[73],"Its":[74],"architecture":[75],"utilizes":[76],"an":[77,82],"encoder-decoder":[78],"framework":[79],"includes":[81],"encoder":[83],"four":[85],"augmentation":[89],"(DSSA)":[90],"blocks":[91],"multi-level":[94],"semantic":[95,104],"extraction":[96],"decoder":[99],"integrate":[101],"extracted":[103],"information.":[105],"We":[106],"conducted":[107],"experiments":[108],"on":[109,127],"two":[110],"large":[111],"datasets":[112],"showing":[113],"that":[114],"achieves":[116,122],"state-of-the-art":[117],"performance.":[118],"Specifically,":[119],"our":[120],"73.3%":[123],"78.1%":[125],"IoU":[126,140],"Beijing":[129],"Xi\u2019an":[131],"datasets,":[132],"respectively,":[133],"representing":[134],"improvements":[135],"1.2%":[137],"3.4%":[139],"over":[141],"previous":[143],"best":[144],"while":[146],"also":[147],"being":[148],"6\u00d7":[149],"faster":[150],"inference":[152],"speed":[153],"40\u00d7":[155],"smaller":[156],"parameter":[158],"count.":[159],"Source":[160],"code":[161],"pre-trained":[163],"are":[165],"available":[166],"at":[167],"https://github.com/Devin-Egber/UV-Mamba.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
