{"id":"https://openalex.org/W4322576444","doi":"https://doi.org/10.1109/tgrs.2023.3249230","title":"High-Order Semantic Decoupling Network for Remote Sensing Image Semantic Segmentation","display_name":"High-Order Semantic Decoupling Network for Remote Sensing Image Semantic Segmentation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4322576444","doi":"https://doi.org/10.1109/tgrs.2023.3249230"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3249230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3249230","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/A5084142876","display_name":"Chengyu Zheng","orcid":"https://orcid.org/0000-0002-5948-0032"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyu Zheng","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058652390","display_name":"Jie Nie","orcid":"https://orcid.org/0000-0003-4952-7666"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Nie","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-4952-7666","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101774995","display_name":"Zhaoxin Wang","orcid":"https://orcid.org/0000-0002-8341-2929"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoxin Wang","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101592153","display_name":"Ning Song","orcid":"https://orcid.org/0000-0002-4209-7387"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Song","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058927458","display_name":"Jingyu Wang","orcid":"https://orcid.org/0000-0002-5644-3375"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Wang","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-5644-3375","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079932099","display_name":"Zhiqiang Wei","orcid":"https://orcid.org/0000-0002-2830-8301"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Wei","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China, Qingdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":3.7383,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93895496,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9983000159263611,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7585875988006592},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5525271892547607},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5515524744987488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4719464182853699},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.4216964840888977},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4170319437980652},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.4159046709537506},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35943374037742615},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.20348593592643738},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16100355982780457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7585875988006592},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5525271892547607},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5515524744987488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4719464182853699},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4216964840888977},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4170319437980652},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.4159046709537506},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35943374037742615},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.20348593592643738},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16100355982780457},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3249230","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3249230","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/G267062354","display_name":null,"funder_award_id":"62072418","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G28691574","display_name":null,"funder_award_id":"202042008","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4171417535","display_name":null,"funder_award_id":"2019JZZY020705","funder_id":"https://openalex.org/F4320329857","funder_display_name":"Major Scientific and Technological Innovation Project of Shandong Province"},{"id":"https://openalex.org/G8768018742","display_name":null,"funder_award_id":"62172376","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329857","display_name":"Major Scientific and Technological Innovation Project of Shandong Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1910657905","https://openalex.org/W1990372984","https://openalex.org/W2034906331","https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2563705555","https://openalex.org/W2630837129","https://openalex.org/W2767943769","https://openalex.org/W2787091153","https://openalex.org/W2799166040","https://openalex.org/W2889985731","https://openalex.org/W2922163742","https://openalex.org/W2944418962","https://openalex.org/W2955058313","https://openalex.org/W2963294354","https://openalex.org/W2963319519","https://openalex.org/W2963378109","https://openalex.org/W2963727650","https://openalex.org/W2963881378","https://openalex.org/W2985754018","https://openalex.org/W2989218065","https://openalex.org/W2990775046","https://openalex.org/W2997225633","https://openalex.org/W3008156909","https://openalex.org/W3011248632","https://openalex.org/W3028087865","https://openalex.org/W3036843520","https://openalex.org/W3043645330","https://openalex.org/W3090775239","https://openalex.org/W3099319035","https://openalex.org/W3103092912","https://openalex.org/W3109196706","https://openalex.org/W3109998321","https://openalex.org/W3130788620","https://openalex.org/W3130871950","https://openalex.org/W3161559204","https://openalex.org/W3183174367","https://openalex.org/W3200075728","https://openalex.org/W4205363709","https://openalex.org/W6639780620","https://openalex.org/W6739696289","https://openalex.org/W6751733626","https://openalex.org/W6755002340","https://openalex.org/W6790977014"],"related_works":["https://openalex.org/W2152950565","https://openalex.org/W1617565119","https://openalex.org/W160381218","https://openalex.org/W2512958550","https://openalex.org/W2329266651","https://openalex.org/W3103825105","https://openalex.org/W2004102934","https://openalex.org/W4366455350","https://openalex.org/W4321844193","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Low-order":[0],"features":[1,53,93,160,193,228],"based":[2,40,96],"on":[3,41,97,218,224,243],"convolution":[4],"kernel":[5],"are":[6,229,241],"easy":[7],"to":[8,33,91,138,158,168,173,189,206,210,233,250,265],"be":[9],"distorted":[10],"when":[11,59],"encountering":[12],"dramatic":[13],"view":[14],"angle":[15],"transformation":[16],"and":[17,54,57,71,115,134,162,194,199,223,231,238,279],"atmospheric":[18],"scattering":[19],"in":[20,76,80,275],"remote":[21],"sensing":[22],"(RS)":[23],"images.":[24],"To":[25],"address":[26],"this":[27,29,81],"concern,":[28],"article":[30],"first":[31,102],"proposes":[32],"operate":[34],"semantic":[35,64,85,145,170,177,226,272],"segmentation":[36,283],"of":[37,51,141,255,269],"RS":[38,247,281],"images":[39],"the":[42,48,108,144,252,267,270],"high-order":[43,84,98,113,152,192,257],"information,":[44],"which":[45,149,181,204],"can":[46],"represent":[47],"relative":[49,184],"relationship":[50],"low-order":[52],"is":[55,89,129],"robust":[56],"stable":[58],"suffering":[60],"feature":[61,114,197],"distortion.":[62],"Besides,":[63,259],"decouples":[65],"have":[66,72],"recently":[67],"been":[68],"well":[69],"researched":[70],"achieved":[73],"significant":[74,253],"improvement":[75],"image":[77,248,282],"understanding.":[78],"Thus,":[79],"article,":[82],"a":[83,112,156,174,187],"decoupling":[86,146],"network":[87],"(HSDN)":[88],"proposed":[90,271],"disentangle":[92,171],"by":[94,106,215],"semantics":[95],"features.":[99],"Specifically,":[100],"HSDN":[101],"represents":[103],"each":[104,151],"pixel":[105],"calculating":[107],"pixel-level":[109,183],"affinity":[110],"as":[111,155,167],"then":[116],"clusters":[117],"these":[118],"pixels":[119,209,219],"into":[120],"different":[121,164],"semantics.":[122],"Afterward,":[123],"an":[124],"attention-like":[125],"mask":[126,147,157,179,202],"generation":[127],"module":[128],"designed":[130],"for":[131],"both":[132,220],"intra-semantic":[133],"inter-semantic":[135],"groups,":[136],"leading":[137],"three":[139],"kinds":[140],"masks,":[142],"including":[143],"(SDM),":[148],"utilizes":[150],"cluster":[153,212],"centroid":[154],"compact":[159],"intracluster":[161],"expand":[163],"interclusters,":[165],"so":[166],"improve":[169],"performance":[172,254],"better":[175],"extent;":[176],"enhancement":[178],"(SEM),":[180],"records":[182],"correlation":[185],"within":[186,221],"class":[188],"sufficiently":[190],"exploit":[191],"could":[195],"enhance":[196],"robustness;":[198],"boundary":[200],"supplementary":[201],"(BSM),":[203],"aims":[205],"process":[207],"borderline":[208],"reduce":[211],"errors.":[213],"Finally,":[214],"applying":[216],"masks":[217],"classes":[222],"borderlines,":[225],"decoupled":[227],"generated":[230],"concatenated":[232],"realize":[234],"segmentation.":[235],"The":[236],"quantitative":[237],"qualitative":[239],"experiments":[240,264],"conducted":[242],"two":[244],"large-scale":[245],"fine-resolution":[246],"datasets":[249],"demonstrate":[251],"adopting":[256],"representation.":[258],"we":[260],"also":[261],"implement":[262],"numerous":[263],"validate":[266],"effectiveness":[268],"decouple":[273],"framework":[274],"dealing":[276],"with":[277],"complicated":[278],"distortion-prone":[280],"tasks.":[284]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}