{"id":"https://openalex.org/W4385832164","doi":"https://doi.org/10.1109/lgrs.2023.3305814","title":"Hyperspectral Anomaly Detection Based on Multiscale Central Difference Convolution Network","display_name":"Hyperspectral Anomaly Detection Based on Multiscale Central Difference Convolution Network","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385832164","doi":"https://doi.org/10.1109/lgrs.2023.3305814"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2023.3305814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3305814","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010101037","display_name":"Xiaoyi Wang","orcid":"https://orcid.org/0000-0002-1010-0158"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyi Wang","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-1010-0158","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636411","display_name":"Liguo Wang","orcid":"https://orcid.org/0000-0001-9373-6233"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]},{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liguo Wang","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","College of Information and Communication Engineering, Dalian Minzu University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0001-9373-6233","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"College of Information and Communication Engineering, Dalian Minzu University, Dalian, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004977749","display_name":"Anna Vizziello","orcid":"https://orcid.org/0000-0002-6378-141X"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Anna Vizziello","raw_affiliation_strings":["Department of Electrical, Computer, Biomedical Engineering, University of Pavia, Pavia, Italy","Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy"],"raw_orcid":"https://orcid.org/0000-0002-6378-141X","affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer, Biomedical Engineering, University of Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]},{"raw_affiliation_string":"Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006623289","display_name":"Paolo Gamba","orcid":"https://orcid.org/0000-0002-9576-6337"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Gamba","raw_affiliation_strings":["Department of Electrical, Computer, Biomedical Engineering, University of Pavia, Pavia, Italy","Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy"],"raw_orcid":"https://orcid.org/0000-0002-9576-6337","affiliations":[{"raw_affiliation_string":"Department of Electrical, Computer, Biomedical Engineering, University of Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]},{"raw_affiliation_string":"Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010101037"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":1.0908,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80441136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"20","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9602000117301941,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7362752556800842},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6884479522705078},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6632950305938721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6453530788421631},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.6286890506744385},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6149433255195618},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6101883053779602},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5879384875297546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5746472477912903},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4480033814907074},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.44253861904144287},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3101034164428711},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.27174288034439087},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11985689401626587},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08681142330169678}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7362752556800842},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6884479522705078},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6632950305938721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6453530788421631},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.6286890506744385},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6149433255195618},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6101883053779602},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5879384875297546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5746472477912903},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4480033814907074},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.44253861904144287},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3101034164428711},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27174288034439087},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11985689401626587},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08681142330169678},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2023.3305814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2023.3305814","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4498792920","display_name":null,"funder_award_id":"3072022GIP0801","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7424700364","display_name":null,"funder_award_id":"62071084","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8971197728","display_name":null,"funder_award_id":"42171345","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/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":22,"referenced_works":["https://openalex.org/W2004491663","https://openalex.org/W2024288510","https://openalex.org/W2047870694","https://openalex.org/W2097381359","https://openalex.org/W2124463804","https://openalex.org/W2165447611","https://openalex.org/W2336855346","https://openalex.org/W2497075055","https://openalex.org/W2789345570","https://openalex.org/W2972480129","https://openalex.org/W3035459165","https://openalex.org/W3112037842","https://openalex.org/W3137199127","https://openalex.org/W3164714368","https://openalex.org/W3177186825","https://openalex.org/W4285181756","https://openalex.org/W4289823735","https://openalex.org/W4321380750","https://openalex.org/W4322576316","https://openalex.org/W4366678167","https://openalex.org/W4376457061","https://openalex.org/W4376607587"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W3000097931","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2354322770","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W4313014865"],"abstract_inverted_index":{"Convolutional":[0,45],"neural":[1],"networks":[2],"(CNNs)":[3],"have":[4],"a":[5,41,113],"strong":[6],"capacity":[7],"to":[8,35,59,83,91,104,117],"extract":[9],"deep-level":[10],"features":[11,31,120],"from":[12],"data.":[13],"However,":[14],"the":[15,21,25,67,74,77,80,140],"standard":[16],"convolution":[17],"(SC)":[18],"only":[19],"considers":[20],"intensity-information":[22],"and":[23,62,72,79,89,108,121],"ignores":[24],"spatial":[26,29,87,125],"gradient-information.":[27,63],"Since":[28],"difference":[30,75],"are":[32,102],"more":[33,123],"robust":[34],"illumination":[36],"invariance,":[37],"this":[38],"letter":[39],"proposes":[40],"Multi-Scale":[42],"Central":[43,55],"Differential":[44],"(MSCDC)":[46],"network":[47],"for":[48],"hyperspectral":[49,131],"anomaly":[50,132],"detection.":[51],"Specifically,":[52],"we":[53],"use":[54],"Difference":[56],"Convolution":[57],"(CDC)":[58],"combine":[60],"intensity-":[61],"This":[64],"solution":[65],"improves":[66],"representation":[68],"ability":[69],"of":[70,98],"HSIs":[71],"enhances":[73],"between":[76],"background":[78],"anomalies.":[81],"Furthermore,":[82],"fully":[84],"utilize":[85],"local":[86],"information":[88],"adapt":[90],"targets":[92],"with":[93,128],"different":[94,100],"sizes,":[95],"CDC":[96],"kernels":[97],"three":[99],"sizes":[101],"used":[103,116],"capture":[105],"high-,":[106],"mid-":[107],"low-level":[109],"features,":[110],"respectively.":[111],"Finally,":[112],"SC":[114],"is":[115],"fuse":[118],"multi-scale":[119],"obtain":[122],"reliable":[124],"information.":[126],"Compared":[127],"five":[129],"popular":[130],"detection":[133],"methods":[134],"on":[135],"four":[136],"real-world":[137],"HSI":[138],"datasets,":[139],"proposed":[141],"MSCDC":[142],"exhibits":[143],"excellent":[144],"performances.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}