{"id":"https://openalex.org/W4401879130","doi":"https://doi.org/10.1109/tgrs.2024.3446628","title":"DESformer: A Dual-Branch Encoding Strategy for Semantic Segmentation of Very-High-Resolution Remote Sensing Images Based on Feature Interaction and Multiscale Context Fusion","display_name":"DESformer: A Dual-Branch Encoding Strategy for Semantic Segmentation of Very-High-Resolution Remote Sensing Images Based on Feature Interaction and Multiscale Context Fusion","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401879130","doi":"https://doi.org/10.1109/tgrs.2024.3446628"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3446628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3446628","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5111062470","display_name":"Wenshu Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenshu Liu","raw_affiliation_strings":["College of Life Sciences and Environment and the College of Ethnology and Sociology, Minzu University of China, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-8299-5886","affiliations":[{"raw_affiliation_string":"College of Life Sciences and Environment and the College of Ethnology and Sociology, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085557608","display_name":"Nan Cui","orcid":"https://orcid.org/0000-0003-0432-5841"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Nan Cui","raw_affiliation_strings":["Department of Geography, National University of Singapore, Queenstown, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, National University of Singapore, Queenstown, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112108946","display_name":"Luo Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luo Guo","raw_affiliation_strings":["College of Life Sciences and Environment and the College of Ethnology and Sociology, Minzu University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Life Sciences and Environment and the College of Ethnology and Sociology, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111254211","display_name":"Shihong Du","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihong Du","raw_affiliation_strings":["College of Urban and Environmental Sciences, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0832-0864","affiliations":[{"raw_affiliation_string":"College of Urban and Environmental Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035835212","display_name":"Weiyin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyin Wang","raw_affiliation_strings":["College of Life Sciences and Environment and the College of Ethnology and Sociology, Minzu University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Life Sciences and Environment and the College of Ethnology and Sociology, Minzu University of China, Beijing, China","institution_ids":["https://openalex.org/I145897649"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5826,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90706981,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9973999857902527,"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":0.9973999857902527,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9948999881744385,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9944000244140625,"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/computer-science","display_name":"Computer science","score":0.7514356970787048},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6081393957138062},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5964877605438232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5612145662307739},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5364397764205933},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5231826901435852},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.46335697174072266},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.46031424403190613},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4516840875148773},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4392154812812805},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43153858184814453},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.41804391145706177},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37948572635650635},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1551404595375061},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08964386582374573},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08848482370376587}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7514356970787048},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6081393957138062},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5964877605438232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5612145662307739},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5364397764205933},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5231826901435852},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.46335697174072266},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46031424403190613},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4516840875148773},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4392154812812805},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43153858184814453},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.41804391145706177},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37948572635650635},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1551404595375061},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08964386582374573},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08848482370376587},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3446628","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3446628","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8121238286","display_name":null,"funder_award_id":"2022YFF1303001","funder_id":"https://openalex.org/F4320335505","funder_display_name":"Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320335505","display_name":"Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W1967381020","https://openalex.org/W2051135580","https://openalex.org/W2073056054","https://openalex.org/W2073134030","https://openalex.org/W2079475820","https://openalex.org/W2114843229","https://openalex.org/W2117060272","https://openalex.org/W2132054709","https://openalex.org/W2257307118","https://openalex.org/W2266390837","https://openalex.org/W2323766577","https://openalex.org/W2395611524","https://openalex.org/W2560023338","https://openalex.org/W2592939477","https://openalex.org/W2592962403","https://openalex.org/W2630837129","https://openalex.org/W2750722971","https://openalex.org/W2787091153","https://openalex.org/W2793268137","https://openalex.org/W2804860796","https://openalex.org/W2910121883","https://openalex.org/W2910628332","https://openalex.org/W2936614765","https://openalex.org/W2955058313","https://openalex.org/W2962702674","https://openalex.org/W2962749812","https://openalex.org/W2963101867","https://openalex.org/W2963351448","https://openalex.org/W2963378109","https://openalex.org/W2963691928","https://openalex.org/W2963727650","https://openalex.org/W2972516102","https://openalex.org/W2981689412","https://openalex.org/W2989928722","https://openalex.org/W2991488782","https://openalex.org/W3003394660","https://openalex.org/W3011248632","https://openalex.org/W3033210410","https://openalex.org/W3034307881","https://openalex.org/W3036981345","https://openalex.org/W3095064240","https://openalex.org/W3100321043","https://openalex.org/W3109998321","https://openalex.org/W3114304902","https://openalex.org/W3127595489","https://openalex.org/W3128399798","https://openalex.org/W3129544296","https://openalex.org/W3138516171","https://openalex.org/W3144332889","https://openalex.org/W3160694286","https://openalex.org/W3162018314","https://openalex.org/W3180045188","https://openalex.org/W3183174367","https://openalex.org/W3206114874","https://openalex.org/W4205138939","https://openalex.org/W4226216909","https://openalex.org/W4283450732","https://openalex.org/W4294962688","https://openalex.org/W4312603774","https://openalex.org/W4312815172","https://openalex.org/W4382936196","https://openalex.org/W4385245566","https://openalex.org/W4386634500","https://openalex.org/W4387211165","https://openalex.org/W4388157208","https://openalex.org/W4388927523","https://openalex.org/W4389041134","https://openalex.org/W4390284997","https://openalex.org/W4393115925","https://openalex.org/W4393906060","https://openalex.org/W6739696289","https://openalex.org/W6763251565","https://openalex.org/W6779248606","https://openalex.org/W6797399245","https://openalex.org/W6798837711","https://openalex.org/W6842819862","https://openalex.org/W6858156147"],"related_works":["https://openalex.org/W4235381733","https://openalex.org/W2355022049","https://openalex.org/W2060429446","https://openalex.org/W4379231730","https://openalex.org/W2741782512","https://openalex.org/W3011302839","https://openalex.org/W4389858081","https://openalex.org/W2392958391","https://openalex.org/W3155227409","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Global":[0],"contextual":[1,50],"information":[2,51,75,152,164],"is":[3,63,185],"crucial":[4],"for":[5,133],"the":[6,15,28,53,109,120,137,148,155,173,203,216,222,226,231,234,242],"semantic":[7,217],"segmentation":[8,218],"of":[9,17,122,136,219,233],"remote":[10],"sensing":[11],"(RS)":[12],"images.":[13,54],"However,":[14],"majority":[16],"current":[18],"approaches":[19],"depend":[20],"on":[21,162,206,212],"convolutional":[22,34],"neural":[23],"networks":[24,37],"(CNNs).":[25],"Due":[26],"to":[27,47,69,90,111,168],"local":[29,92,113],"receptive":[30],"fields":[31],"inherent":[32],"in":[33,52,115,221,247],"operations,":[35],"these":[36],"typically":[38],"capture":[39,71,112],"image":[40],"features":[41,93,114,169,176],"within":[42],"limited":[43],"areas":[44],"and":[45,76,100,118,165,193,225,251],"struggle":[46],"comprehend":[48],"broader":[49],"In":[55,81,179],"this":[56],"study,":[57],"a":[58,85,129,182,188],"dual-branch":[59],"encoding":[60],"approach,":[61],"DESformer,":[62],"proposed,":[64],"integrating":[65],"transformers":[66,99],"with":[67,94,191],"CNN,":[68,101],"effectively":[70],"global":[72,95,134],"multiscale":[73],"context":[74],"enhance":[77],"edge":[78,254],"feature":[79,86,139],"extraction.":[80],"addition,":[82,180],"DESformer":[83],"incorporates":[84],"interaction":[87],"module":[88],"(FIM)":[89],"combine":[91],"representations":[96],"extracted":[97],"by":[98,146],"respectively,":[102],"across":[103],"different":[104],"resolutions.":[105],"This":[106,198],"approach":[107,132],"enhances":[108],"capability":[110],"RS":[116],"images":[117,250],"improves":[119],"understanding":[121],"extensive":[123],"spatial":[124],"relationships.":[125],"Subsequently,":[126],"we":[127],"employ":[128],"novel":[130],"top-down":[131],"supervision":[135],"traditional":[138],"pyramid":[140],"multilevel":[141],"visual":[142,150],"integration":[143],"(MVI)":[144],"module,":[145],"harnessing":[147],"clear":[149],"center":[151],"obtained":[153],"from":[154],"deepest":[156],"internal":[157],"features.":[158,255],"To":[159],"successfully":[160],"concentrate":[161],"important":[163],"preserve":[166],"sensitivity":[167],"at":[170],"various":[171],"scales,":[172],"preceding":[174],"shallow":[175],"are":[177],"muted.":[178],"FIAB-Loss,":[181],"loss":[183,190,196,200],"function":[184,201],"introduced,":[186],"combining":[187],"focal":[189],"IOU":[192],"active":[194],"boundary":[195],"(ABL).":[197],"composite":[199],"strengthens":[202],"model\u2019s":[204],"focus":[205],"challenging-to-distinguish":[207],"categories.":[208],"Extensive":[209],"experiments":[210],"conducted":[211],"three":[213],"datasets,":[214],"including":[215],"lakes":[220],"Tibetan":[223],"Plateau":[224],"ISPRS\u2019s":[227],"Vaihingen":[228],"benchmark,":[229],"validate":[230],"efficacy":[232],"proposed":[235],"method.":[236],"The":[237],"experimental":[238],"results":[239],"indicate":[240],"that":[241],"network":[243],"exhibits":[244],"exceptional":[245],"performance":[246],"processing":[248],"VHR":[249],"accurately":[252],"extracting":[253]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
