{"id":"https://openalex.org/W4417523680","doi":"https://doi.org/10.1016/j.neunet.2025.108485","title":"Classwise-CRF: Category-specific fusion for enhanced semantic segmentation of remote sensing imagery","display_name":"Classwise-CRF: Category-specific fusion for enhanced semantic segmentation of remote sensing imagery","publication_year":2025,"publication_date":"2025-12-29","ids":{"openalex":"https://openalex.org/W4417523680","doi":"https://doi.org/10.1016/j.neunet.2025.108485","pmid":"https://pubmed.ncbi.nlm.nih.gov/41483572"},"language":"en","primary_location":{"id":"doi:10.1016/j.neunet.2025.108485","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neunet.2025.108485","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Networks","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2504.21491","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102817214","display_name":"Qinfeng Zhu","orcid":"https://orcid.org/0009-0002-4847-3555"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinfeng Zhu","raw_affiliation_strings":["Department of Civil Engineering, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China; Department of Computer Science, University of Liverpool, Liverpool L69 3BX, UK"],"raw_orcid":"https://orcid.org/0009-0002-4847-3555","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China; Department of Computer Science, University of Liverpool, Liverpool L69 3BX, UK","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yunxi Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yunxi Jiang","raw_affiliation_strings":["Department of Physics, University of Liverpool, Liverpool L69 7ZE, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics, University of Liverpool, Liverpool L69 7ZE, UK","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lei Fan","orcid":"https://orcid.org/0000-0002-5538-4684"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Fan","raw_affiliation_strings":["Department of Civil Engineering, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China; Design School Intelligent Built Environment Research Centre, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China. Electronic address: lei.fan@xjtlu.edu.cn"],"raw_orcid":"https://orcid.org/0000-0002-5538-4684","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China; Design School Intelligent Built Environment Research Centre, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China. Electronic address: lei.fan@xjtlu.edu.cn","institution_ids":["https://openalex.org/I69356397"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I69356397"],"apc_list":{"value":3350,"currency":"USD","value_usd":3350},"apc_paid":null,"fwci":0.7724,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.7864875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"197","issue":null,"first_page":"108485","last_page":"108485"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5442000031471252,"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":0.5442000031471252,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.2624000012874603,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.044599998742341995,"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/segmentation","display_name":"Segmentation","score":0.7365999817848206},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6276999711990356},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5521000027656555},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5450999736785889},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.5374000072479248},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5343999862670898},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48750001192092896},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4609000086784363},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.46050000190734863},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.45500001311302185}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7871000170707703},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7365999817848206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6935999989509583},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6276999711990356},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5521000027656555},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5450999736785889},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.5374000072479248},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5343999862670898},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48750001192092896},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4609000086784363},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.46050000190734863},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.45500001311302185},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4359999895095825},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4124000072479248},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.40230000019073486},{"id":"https://openalex.org/C78023250","wikidata":"https://www.wikidata.org/wiki/Q657596","display_name":"Unary operation","level":2,"score":0.373199999332428},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.3659000098705292},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3203999996185303},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.30390000343322754},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30149999260902405},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27160000801086426},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.27059999108314514},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.2556000053882599},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.25270000100135803},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.25060001015663147},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1016/j.neunet.2025.108485","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neunet.2025.108485","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Networks","raw_type":"journal-article"},{"id":"pmid:41483572","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41483572","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural networks : the official journal of the International Neural Network Society","raw_type":null},{"id":"pmh:oai:arXiv.org:2504.21491","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.21491","pdf_url":"https://arxiv.org/pdf/2504.21491","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2504.21491","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2504.21491","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2504.21491","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.21491","pdf_url":"https://arxiv.org/pdf/2504.21491","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3417090716","display_name":null,"funder_award_id":"FOS2210JJ03","funder_id":"https://openalex.org/F4320324032","funder_display_name":"Xi\u2019an Jiaotong-Liverpool University"},{"id":"https://openalex.org/G3903530629","display_name":null,"funder_award_id":"REF-21\\u201301\\u2013003","funder_id":"https://openalex.org/F4320324032","funder_display_name":"Xi\u2019an Jiaotong-Liverpool University"}],"funders":[{"id":"https://openalex.org/F4320324032","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417523680.pdf","grobid_xml":"https://content.openalex.org/works/W4417523680.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W3016889634","https://openalex.org/W3110908156","https://openalex.org/W2760340275","https://openalex.org/W4403534981","https://openalex.org/W4390576780","https://openalex.org/W2412782625","https://openalex.org/W4403061067","https://openalex.org/W4213019189","https://openalex.org/W4311080873","https://openalex.org/W4311461418","https://openalex.org/W1968830900","https://openalex.org/W3170885821","https://openalex.org/W4226216909","https://openalex.org/W4386174615","https://openalex.org/W4220849367","https://openalex.org/W4225487034","https://openalex.org/W4386275800","https://openalex.org/W3014641072","https://openalex.org/W4402899258","https://openalex.org/W4410638879","https://openalex.org/W4399496596","https://openalex.org/W4412540251","https://openalex.org/W3194572148","https://openalex.org/W3200075728","https://openalex.org/W4210464427"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-10T07:45:09.275182","created_date":"2025-10-10T00:00:00"}
