{"id":"https://openalex.org/W4311729051","doi":"https://doi.org/10.3390/rs14246193","title":"LightFGCNet: A Lightweight and Focusing on Global Context Information Semantic Segmentation Network for Remote Sensing Imagery","display_name":"LightFGCNet: A Lightweight and Focusing on Global Context Information Semantic Segmentation Network for Remote Sensing Imagery","publication_year":2022,"publication_date":"2022-12-07","ids":{"openalex":"https://openalex.org/W4311729051","doi":"https://doi.org/10.3390/rs14246193"},"language":"en","primary_location":{"id":"doi:10.3390/rs14246193","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14246193","pdf_url":"https://www.mdpi.com/2072-4292/14/24/6193/pdf?version=1670404033","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/24/6193/pdf?version=1670404033","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102909463","display_name":"Yan Chen","orcid":"https://orcid.org/0000-0001-9294-0128"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Chen","raw_affiliation_strings":["Institute of Applied Optimization, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"Institute of Applied Optimization, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091116952","display_name":"Wenxiang Jiang","orcid":"https://orcid.org/0000-0001-9450-3415"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenxiang Jiang","raw_affiliation_strings":["Institute of Applied Optimization, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"Institute of Applied Optimization, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048887507","display_name":"Mengyuan Wang","orcid":"https://orcid.org/0000-0002-1337-6862"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyuan Wang","raw_affiliation_strings":["Institute of Applied Optimization, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"Institute of Applied Optimization, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013077309","display_name":"Menglei Kang","orcid":"https://orcid.org/0000-0002-1077-0813"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Menglei Kang","raw_affiliation_strings":["Department of Big Data and Information Engineering, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"Department of Big Data and Information Engineering, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010827013","display_name":"Thomas Weise","orcid":"https://orcid.org/0000-0002-9687-8509"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Thomas Weise","raw_affiliation_strings":["Institute of Applied Optimization, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"Institute of Applied Optimization, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333215","display_name":"Xiaofeng Wang","orcid":"https://orcid.org/0000-0001-7592-277X"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Wang","raw_affiliation_strings":["Department of Big Data and Information Engineering, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"Department of Big Data and Information Engineering, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113541520","display_name":"Ming Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Tan","raw_affiliation_strings":["Department of Big Data and Information Engineering, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"Department of Big Data and Information Engineering, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024645274","display_name":"Lixiang Xu","orcid":"https://orcid.org/0000-0001-8946-620X"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixiang Xu","raw_affiliation_strings":["Department of Big Data and Information Engineering, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"Department of Big Data and Information Engineering, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081894037","display_name":"Xinlu Li","orcid":"https://orcid.org/0000-0002-3806-3993"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinlu Li","raw_affiliation_strings":["Department of Big Data and Information Engineering, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"Department of Big Data and Information Engineering, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China","institution_ids":["https://openalex.org/I39774598"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100374184","display_name":"Chen Zhang","orcid":"https://orcid.org/0000-0003-3870-8744"},"institutions":[{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zhang","raw_affiliation_strings":["Department of Big Data and Information Engineering, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"Department of Big Data and Information Engineering, School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, China","institution_ids":["https://openalex.org/I39774598"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5091116952"],"corresponding_institution_ids":["https://openalex.org/I39774598"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.0208,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77616247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"14","issue":"24","first_page":"6193","last_page":"6193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8375282287597656},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.679176390171051},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6652721166610718},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5496236085891724},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5459761023521423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.530566930770874},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5157237648963928},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.4692673087120056},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.43529099225997925},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.4257012903690338},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41742268204689026},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17051798105239868}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8375282287597656},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.679176390171051},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6652721166610718},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5496236085891724},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5459761023521423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.530566930770874},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5157237648963928},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.4692673087120056},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.43529099225997925},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.4257012903690338},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41742268204689026},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17051798105239868},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14246193","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14246193","pdf_url":"https://www.mdpi.com/2072-4292/14/24/6193/pdf?version=1670404033","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e6381f192f484beb9e08051ff975309d","is_oa":true,"landing_page_url":"https://doaj.org/article/e6381f192f484beb9e08051ff975309d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 24, p 6193 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/24/6193/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14246193","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 24; Pages: 6193","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14246193","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14246193","pdf_url":"https://www.mdpi.com/2072-4292/14/24/6193/pdf?version=1670404033","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2014251670","display_name":null,"funder_award_id":"61673359","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2026336570","display_name":null,"funder_award_id":"KJ2021ZD0118","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3766869091","display_name":null,"funder_award_id":"62176085","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3809788367","display_name":null,"funder_award_id":"20ZR03ZDA","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5083768948","display_name":null,"funder_award_id":"6167335","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5242376151","display_name":null,"funder_award_id":"20RC13","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5697595861","display_name":null,"funder_award_id":"KJ2020A0658","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5805704451","display_name":null,"funder_award_id":"No. 62176085","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8513333314","display_name":null,"funder_award_id":"2021ZD01","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/F4320326536","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4311729051.pdf","grobid_xml":"https://content.openalex.org/works/W4311729051.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2179352600","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2752782242","https://openalex.org/W2752790450","https://openalex.org/W2799213142","https://openalex.org/W2866634454","https://openalex.org/W2883780447","https://openalex.org/W2884585870","https://openalex.org/W2895340641","https://openalex.org/W2898732869","https://openalex.org/W2916798096","https://openalex.org/W2938425859","https://openalex.org/W2963446712","https://openalex.org/W2964231884","https://openalex.org/W2964309882","https://openalex.org/W2982206001","https://openalex.org/W2991954627","https://openalex.org/W2995766874","https://openalex.org/W3034345703","https://openalex.org/W3034552520","https://openalex.org/W3047269846","https://openalex.org/W3047879103","https://openalex.org/W3098722327","https://openalex.org/W3104035745","https://openalex.org/W3108139472","https://openalex.org/W3112503277","https://openalex.org/W3113272803","https://openalex.org/W3115164315","https://openalex.org/W3121534340","https://openalex.org/W3136393638","https://openalex.org/W3176945377","https://openalex.org/W3196904463","https://openalex.org/W3200870516","https://openalex.org/W3212386989","https://openalex.org/W3215100961","https://openalex.org/W4210452307","https://openalex.org/W4212772227","https://openalex.org/W4214666412","https://openalex.org/W4229441694","https://openalex.org/W4280637210","https://openalex.org/W4283450732","https://openalex.org/W4293652608","https://openalex.org/W4294719008","https://openalex.org/W4295532878","https://openalex.org/W6618372016","https://openalex.org/W6762585180"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W2281134365","https://openalex.org/W4310746709","https://openalex.org/W4386075645","https://openalex.org/W4385574037","https://openalex.org/W4226151011"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,37,223],"networks":[2,224],"have":[3],"attracted":[4],"much":[5],"attention":[6,132],"for":[7,135,225],"their":[8],"use":[9],"in":[10],"the":[11,42,45,69,77,95,100,110,160,179,184,198,206,220],"semantic":[12,21,62,226],"segmentation":[13,22,63,227],"of":[14,20,23,44,113,120,181,186,202],"remote":[15,24],"sensing":[16,25],"imagery.":[17],"The":[18,34,169],"effectiveness":[19],"images":[26],"is":[27,39,215],"significantly":[28,216],"influenced":[29],"by":[30,41],"contextual":[31,53,139],"information":[32,89,115],"extraction.":[33],"traditional":[35],"convolutional":[36,222],"network":[38,101],"constrained":[40],"size":[43],"convolution":[46],"kernel":[47],"and":[48,73,85,127,166,188,193,197,200,211],"mainly":[49],"concentrates":[50],"on":[51,159,205],"local":[52],"information.":[54,107,154],"We":[55,155],"suggest":[56],"a":[57,117,125,136,144],"new":[58],"lightweight":[59,128],"global":[60,70,105],"context":[61,71,106],"network,":[64],"LightFGCNet,":[65],"to":[66,74,102,149],"fully":[67],"utilize":[68],"data":[72],"further":[75],"reduce":[76],"model":[78,204],"parameters.":[79,182],"It":[80],"uses":[81],"an":[82],"encoder\u2013decoder":[83],"architecture":[84],"gradually":[86],"combines":[87],"feature":[88,114,152],"from":[90],"adjacent":[91],"encoder":[92],"blocks":[93],"during":[94],"decoding":[96],"upsampling":[97],"stage,":[98],"allowing":[99],"better":[103,217],"extract":[104],"Considering":[108],"that":[109,172],"frequent":[111],"merging":[112],"produces":[116],"significant":[118],"quantity":[119],"redundant":[121],"noise,":[122],"we":[123,142],"build":[124],"unique":[126],"parallel":[129],"channel":[130],"spatial":[131],"module":[133,147],"(PCSAM)":[134],"few":[137],"critical":[138],"features.":[140],"Additionally,":[141],"design":[143],"multi-scale":[145,151],"fusion":[146],"(MSFM)":[148],"acquire":[150],"target":[153],"conduct":[156],"comprehensive":[157],"experiments":[158],"two":[161,207],"well-known":[162],"datasets":[163,208],"ISPRS":[164],"Vaihingen":[165],"WHU":[167],"Building.":[168],"findings":[170],"demonstrate":[171],"our":[173,203],"suggested":[174],"strategy":[175],"can":[176,228],"efficiently":[177],"decrease":[178],"number":[180,185],"Separately,":[183],"parameters":[187],"FLOPs":[189],"are":[190,209],"3.12":[191],"M":[192],"23.5":[194],"G,":[195],"respectively,":[196,213],"mIoU":[199],"IoU":[201],"70.45%":[210],"89.87%,":[212],"which":[214],"than":[218],"what":[219],"conventional":[221],"deliver.":[229]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}