{"id":"https://openalex.org/W7082670798","doi":"https://doi.org/10.1109/jstars.2025.3613049","title":"MSCSCNet: Multiscale Convolution Selective Context Network With Boundary Supervision for Semantic Segmentation of Remote Sensing Images","display_name":"MSCSCNet: Multiscale Convolution Selective Context Network With Boundary Supervision for Semantic Segmentation of Remote Sensing Images","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7082670798","doi":"https://doi.org/10.1109/jstars.2025.3613049"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3613049","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3613049","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://doi.org/10.1109/jstars.2025.3613049","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jing Teng","orcid":"https://orcid.org/0000-0001-9438-9683"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Teng","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhiwei Zhu","orcid":"https://orcid.org/0009-0006-3672-8118"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Zhu","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dongming Pu","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongming Pu","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tian Wang","orcid":"https://orcid.org/0000-0001-8427-4495"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Wang","raw_affiliation_strings":["School of Artificial Intelligence, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xinhua Zeng","orcid":"https://orcid.org/0000-0002-3903-0392"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhua Zeng","raw_affiliation_strings":["Academy for Engineering and Technology, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Academy for Engineering and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hichem Snoussi","orcid":"https://orcid.org/0000-0002-6563-2135"},"institutions":[{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hichem Snoussi","raw_affiliation_strings":["LIST3N, University of Technology of Troyes, Troyes CEDEX, France"],"affiliations":[{"raw_affiliation_string":"LIST3N, University of Technology of Troyes, Troyes CEDEX, France","institution_ids":["https://openalex.org/I140494188"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ruifeng Shi","orcid":"https://orcid.org/0000-0002-7079-7428"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruifeng Shi","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Quan Z. Sheng","orcid":"https://orcid.org/0000-0002-3326-4147"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Quan Z. Sheng","raw_affiliation_strings":["School of Computing, Macquarie University, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hongjie He","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hongjie He","raw_affiliation_strings":["Geospatial Intelligence and Mapping Lab, Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Geospatial Intelligence and Mapping Lab, Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jonathan Li","orcid":"https://orcid.org/0000-0001-7899-0049"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jonathan Li","raw_affiliation_strings":["Geospatial Intelligence and Mapping Lab, Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Geospatial Intelligence and Mapping Lab, Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69133001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"25892","last_page":"25908"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6470000147819519,"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"}},"topics":[{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6470000147819519,"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"}},{"id":"https://openalex.org/T13067","display_name":"Geological Modeling and Analysis","score":0.025800000876188278,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14311","display_name":"Electrical and Electromagnetic Research","score":0.022299999371170998,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6438000202178955},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.6396999955177307},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5843999981880188},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5498999953269958},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5443999767303467},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5012999773025513},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4643999934196472},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4560000002384186},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.45089998841285706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8227999806404114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6553999781608582},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6438000202178955},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.6396999955177307},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5843999981880188},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5498999953269958},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5443999767303467},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.515500009059906},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5012999773025513},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49900001287460327},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4643999934196472},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4560000002384186},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45089998841285706},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44350001215934753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42899999022483826},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.42010000348091125},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.3817000091075897},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.30730000138282776},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.28870001435279846},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.2847000062465668},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.2775999903678894},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.25760000944137573},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2563000023365021}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jstars.2025.3613049","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3613049","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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:HAL:hal-05420293v1","is_oa":false,"landing_page_url":"https://utt.hal.science/hal-05420293","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18, pp.25892-25908. &#x27E8;10.1109/JSTARS.2025.3613049&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:doaj.org/article:99659e4eb9b74c449771c73b4f8ec1ce","is_oa":true,"landing_page_url":"https://doaj.org/article/99659e4eb9b74c449771c73b4f8ec1ce","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 25892-25908 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3613049","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3613049","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":[],"awards":[{"id":"https://openalex.org/G2670355544","display_name":null,"funder_award_id":"20220484106","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"},{"id":"https://openalex.org/G3381026780","display_name":null,"funder_award_id":"92467108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7123472995","display_name":null,"funder_award_id":"20230484451","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"},{"id":"https://openalex.org/G729093978","display_name":null,"funder_award_id":"2025JC005","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8410695833","display_name":null,"funder_award_id":"62373148","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/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1910619957","https://openalex.org/W1930528368","https://openalex.org/W2071356085","https://openalex.org/W2119823327","https://openalex.org/W2125911428","https://openalex.org/W2145023731","https://openalex.org/W2151049637","https://openalex.org/W2412588858","https://openalex.org/W2480078828","https://openalex.org/W2527276685","https://openalex.org/W2551751523","https://openalex.org/W2560023338","https://openalex.org/W2609402060","https://openalex.org/W2752782242","https://openalex.org/W2757094569","https://openalex.org/W2787091153","https://openalex.org/W2804199516","https://openalex.org/W2884822772","https://openalex.org/W2910628332","https://openalex.org/W2925148117","https://openalex.org/W2945528352","https://openalex.org/W2950604226","https://openalex.org/W2953881420","https://openalex.org/W2955058313","https://openalex.org/W2963378109","https://openalex.org/W2963516811","https://openalex.org/W2991471181","https://openalex.org/W3003394660","https://openalex.org/W3018169007","https://openalex.org/W3034427230","https://openalex.org/W3035290198","https://openalex.org/W3044776120","https://openalex.org/W3045642835","https://openalex.org/W3085087333","https://openalex.org/W3089345975","https://openalex.org/W3098881417","https://openalex.org/W3103092912","https://openalex.org/W3110440461","https://openalex.org/W3135018180","https://openalex.org/W3137032663","https://openalex.org/W3138136606","https://openalex.org/W3138516171","https://openalex.org/W3168495321","https://openalex.org/W3170841864","https://openalex.org/W3184761517","https://openalex.org/W3207576805","https://openalex.org/W4205365435","https://openalex.org/W4206815672","https://openalex.org/W4214893857","https://openalex.org/W4241071816","https://openalex.org/W4285150367","https://openalex.org/W4289752563","https://openalex.org/W4297433469","https://openalex.org/W4312815172","https://openalex.org/W4318149001","https://openalex.org/W4320018395","https://openalex.org/W4383113434","https://openalex.org/W4385245566","https://openalex.org/W4386076267","https://openalex.org/W4388145570","https://openalex.org/W4390755701","https://openalex.org/W4390873076","https://openalex.org/W4399618753","https://openalex.org/W4402915851"],"related_works":[],"abstract_inverted_index":{"Semantic":[0,110],"segmentation":[1,79,142],"of":[2,14,44,95,149,162],"remote":[3,184],"sensing":[4,185],"images":[5],"remains":[6],"a":[7,59,99],"challenging":[8],"task":[9],"due":[10],"to":[11,41,77],"the":[12,32,42,82,108,120,128,147,165,172,180],"presence":[13],"small":[15],"and":[16,27,124,177],"indistinct":[17],"objects,":[18],"as":[19,21],"well":[20],"semantic":[22,105,123],"ambiguities":[23],"arising":[24],"from":[25],"occlusions":[26],"similar":[28],"visual":[29],"appearances.":[30],"Furthermore,":[31],"downsampling":[33],"operations":[34],"employed":[35],"in":[36,49,140],"backbone":[37],"networks":[38],"often":[39],"lead":[40],"loss":[43],"crucial":[45],"boundary":[46,67,137],"details,":[47,138],"particularly":[48],"densely":[50],"packed":[51],"objects.":[52],"To":[53],"address":[54],"these":[55],"challenges,":[56],"we":[57],"propose":[58],"Multi-Scale":[60],"Convolution":[61],"Selective":[62,84],"Context":[63,85],"Network":[64],"(MSCSCNet)":[65],"with":[66,73,155],"supervision.":[68],"The":[69,187],"MSCSCNet":[70,150],"is":[71,189],"designed":[72],"three":[74,152],"key":[75],"modules":[76],"enhance":[78],"performance.":[80],"First,":[81],"Automatic":[83],"Module":[86,112,132],"(ASCM)":[87],"adaptively":[88],"selects":[89],"appropriate":[90],"receptive":[91],"fields":[92],"for":[93],"objects":[94],"varying":[96],"scales":[97],"through":[98],"context":[100],"selection":[101],"mechanism,":[102],"thereby":[103],"minimizing":[104],"inconsistencies.":[106],"Subsequently,":[107],"Spatial":[109],"Relationship":[111],"(SSRM)":[113],"enables":[114],"multi-scale":[115],"feature":[116],"fusion":[117],"by":[118],"capturing":[119],"correlation":[121],"between":[122],"spatial":[125],"information.":[126],"Finally,":[127],"Boundary":[129],"Feature":[130],"Extraction":[131],"(BFEM)":[133],"reproduces":[134],"highly":[135],"precise":[136],"resulting":[139],"refined":[141],"outcomes.":[143],"Extensive":[144],"experiments":[145],"underscore":[146],"effectiveness":[148],"across":[151],"benchmark":[153],"datasets,":[154],"mean":[156],"Intersection":[157],"over":[158],"Union":[159],"(mIoU)":[160],"scores":[161],"70.22%":[163],"on":[164,171,179],"iSAID":[166],"aerial":[167],"image":[168],"dataset,":[169,176],"53.99%":[170],"LoveDA":[173],"domain":[174],"adaptation":[175],"80.24%":[178],"ISPRS":[181],"Potsdam":[182],"high-resolution":[183],"dataset.":[186],"code":[188],"available":[190],"at":[191],"<uri":[192],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[193],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/NcepuDmPu/MSCSCNet</uri>.":[194]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
