{"id":"https://openalex.org/W4391147950","doi":"https://doi.org/10.1109/jstars.2024.3357540","title":"Edge-Enhanced GCIFFNet: A Multiclass Semantic Segmentation Network Based on Edge Enhancement and Multiscale Attention Mechanism","display_name":"Edge-Enhanced GCIFFNet: A Multiclass Semantic Segmentation Network Based on Edge Enhancement and Multiscale Attention Mechanism","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391147950","doi":"https://doi.org/10.1109/jstars.2024.3357540"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3357540","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3357540","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10412635.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10412635.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103236762","display_name":"Long Chen","orcid":"https://orcid.org/0000-0003-0300-5942"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Long Chen","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing (USTB), Beijing, China","Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0300-5942","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing (USTB), Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102961207","display_name":"Zhiyuan Qu","orcid":"https://orcid.org/0009-0005-7309-7573"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyuan Qu","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing (USTB), Beijing, China","Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-7309-7573","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing (USTB), Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446933","display_name":"Yao Zhang","orcid":"https://orcid.org/0000-0001-5371-2392"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yao Zhang","raw_affiliation_strings":["Department of Surgery, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0001-5371-2392","affiliations":[{"raw_affiliation_string":"Department of Surgery, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100723075","display_name":"Jingyang Liu","orcid":"https://orcid.org/0009-0002-2195-1780"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyang Liu","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing (USTB), Beijing, China","Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-2195-1780","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing (USTB), Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103142746","display_name":"Ruwen Wang","orcid":"https://orcid.org/0009-0003-2689-2473"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruwen Wang","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing (USTB), Beijing, China","Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-2689-2473","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing (USTB), Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101567695","display_name":"Dezheng Zhang","orcid":"https://orcid.org/0000-0002-0647-3154"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dezheng Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing (USTB), Beijing, China","Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0647-3154","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, University of Science and Technology Beijing (USTB), Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5103236762"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":3.6327,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.9320573,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"17","issue":null,"first_page":"4450","last_page":"4465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.7977285385131836},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6893727779388428},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.6574978232383728},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6171271800994873},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5788915753364563},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5638601779937744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5256351828575134},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.47181713581085205},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4703871011734009},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4621902406215668},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.4508011043071747},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.43678367137908936},{"id":"https://openalex.org/keywords/upstream","display_name":"Upstream (networking)","score":0.42320799827575684},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38294902443885803},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3233915865421295},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09027433395385742}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7977285385131836},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6893727779388428},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.6574978232383728},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6171271800994873},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5788915753364563},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5638601779937744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5256351828575134},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.47181713581085205},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4703871011734009},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4621902406215668},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.4508011043071747},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43678367137908936},{"id":"https://openalex.org/C191172861","wikidata":"https://www.wikidata.org/wiki/Q7899321","display_name":"Upstream (networking)","level":2,"score":0.42320799827575684},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38294902443885803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3233915865421295},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09027433395385742},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3357540","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3357540","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10412635.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:33670546d4cc4cd6bd13b53266489449","is_oa":true,"landing_page_url":"https://doaj.org/article/33670546d4cc4cd6bd13b53266489449","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4450-4465 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3357540","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3357540","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10412635.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8399999737739563}],"awards":[{"id":"https://openalex.org/G8210159129","display_name":null,"funder_award_id":"2019BFG02009","funder_id":"https://openalex.org/F4320334010","funder_display_name":"Key Research and Development Program of Ningxia"}],"funders":[{"id":"https://openalex.org/F4320334010","display_name":"Key Research and Development Program of Ningxia","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391147950.pdf","grobid_xml":"https://content.openalex.org/works/W4391147950.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1912954554","https://openalex.org/W1930528368","https://openalex.org/W2114268578","https://openalex.org/W2132083787","https://openalex.org/W2145023731","https://openalex.org/W2194775991","https://openalex.org/W2300687442","https://openalex.org/W2362533348","https://openalex.org/W2412782625","https://openalex.org/W2520755910","https://openalex.org/W2560023338","https://openalex.org/W2618530766","https://openalex.org/W2752782242","https://openalex.org/W2787091153","https://openalex.org/W2799166040","https://openalex.org/W2804532080","https://openalex.org/W2895340641","https://openalex.org/W2955058313","https://openalex.org/W2963091558","https://openalex.org/W2963307106","https://openalex.org/W2963351448","https://openalex.org/W2963881378","https://openalex.org/W2981689412","https://openalex.org/W2981899103","https://openalex.org/W2982220924","https://openalex.org/W2992240579","https://openalex.org/W3027201985","https://openalex.org/W3043645330","https://openalex.org/W3103092912","https://openalex.org/W3133531739","https://openalex.org/W3168227666","https://openalex.org/W3170019900","https://openalex.org/W3170841864","https://openalex.org/W3203276063","https://openalex.org/W3211490618","https://openalex.org/W4206573688","https://openalex.org/W4214893857","https://openalex.org/W4289752563","https://openalex.org/W4296079303","https://openalex.org/W4312600819","https://openalex.org/W4385245566","https://openalex.org/W4385261487","https://openalex.org/W6603689490","https://openalex.org/W6637373629","https://openalex.org/W6639118987","https://openalex.org/W6737664043","https://openalex.org/W6797399245","https://openalex.org/W6799579066","https://openalex.org/W6855355072","https://openalex.org/W7018700067"],"related_works":["https://openalex.org/W3187420948","https://openalex.org/W2522537526","https://openalex.org/W4308659218","https://openalex.org/W2998228095","https://openalex.org/W2791535170","https://openalex.org/W4297399633","https://openalex.org/W4378906240","https://openalex.org/W4297798722","https://openalex.org/W4328027240","https://openalex.org/W4388188285"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"remote":[3],"sensing":[4],"images(RSIs)":[5],"have":[6],"witnessed":[7],"significant":[8],"improvements":[9],"in":[10,33,45,99,121,170],"both":[11,174,211],"quality":[12],"and":[13,36,56,93,140,161,177,195],"quantity.":[14],"With":[15],"the":[16,69,100,103,122,136,146,159,192,196,204],"application":[17],"of":[18,89,138],"deep":[19],"learning":[20],"techniques,":[21],"these":[22,84],"RSIs":[23,46],"can":[24],"be":[25],"more":[26],"effectively":[27,183],"utilized":[28],"to":[29,31,82,116,134,149],"harnessed":[30],"aid":[32],"environment":[34],"monitoring":[35],"urban":[37],"planning.":[38],"Semantic":[39],"segmentation,":[40],"as":[41,68],"a":[42,62,94,125,163],"common":[43],"task":[44],"processing,":[47],"confronts":[48],"numerous":[49],"challenges,":[50],"including":[51],"inaccurate":[52],"classification,":[53],"fuzzy":[54],"boundaries,":[55],"other":[57],"problems.":[58],"This":[59,86],"paper":[60,172],"proposes":[61],"novel":[63],"semantic":[64],"segmentation":[65],"network":[66,87,96,168,206],"known":[67],"Edge":[70],"Enhanced":[71,80],"Global":[72],"Contextual":[73],"Information":[74],"Guided":[75],"Feature":[76],"Fusion":[77],"Network":[78],"(Edge":[79],"GCIFFNet)":[81],"address":[83],"challenges.":[85],"consists":[88],"an":[90],"edge-enhanced":[91],"part":[92],"backbone":[95,160],"part.":[97],"Firstly,":[98],"encoding":[101],"stage,":[102,124],"Recurrent":[104],"Criss-Cross":[105],"Attention":[106,127],"(RCCA)":[107],"block":[108],"is":[109,132],"employed,":[110],"which":[111],"incorporates":[112],"spatial":[113,178],"attention,":[114],"mechanisms":[115],"capture":[117],"global":[118],"information.":[119,186],"Secondly,":[120],"decoding":[123],"Channel":[126],"Residual":[128],"Block":[129],"(CARB)":[130],"module":[131],"proposed":[133,169,205],"facilitate":[135],"fusion":[137],"high-level":[139],"low-level":[141],"features.":[142],"Moreover,":[143],"we":[144,188],"enhance":[145],"network's":[147],"ability":[148],"extract":[150],"edge":[151,185],"information":[152],"during":[153],"training":[154],"by":[155],"sharing":[156],"parameters":[157],"between":[158],"employing":[162],"specialized":[164],"loss":[165],"function.":[166],"The":[167,199],"this":[171],"utilises":[173],"channel":[175],"attention":[176,179],"at":[180],"different":[181],"stages,":[182],"utilizing":[184],"Finally,":[187],"conduct":[189],"experiments":[190],"using":[191],"Yinchuan":[193],"dataset":[194],"LoveDA":[197],"dataset.":[198],"experimental":[200],"results":[201],"show":[202],"that":[203],"demonstrates":[207],"excellent":[208],"performance":[209],"on":[210],"datasets.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
