{"id":"https://openalex.org/W4401705603","doi":"https://doi.org/10.3390/rs16163036","title":"A Multi-Scale Mask Convolution-Based Blind-Spot Network for Hyperspectral Anomaly Detection","display_name":"A Multi-Scale Mask Convolution-Based Blind-Spot Network for Hyperspectral Anomaly Detection","publication_year":2024,"publication_date":"2024-08-18","ids":{"openalex":"https://openalex.org/W4401705603","doi":"https://doi.org/10.3390/rs16163036"},"language":"en","primary_location":{"id":"doi:10.3390/rs16163036","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16163036","pdf_url":"https://www.mdpi.com/2072-4292/16/16/3036/pdf?version=1724076625","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/2072-4292/16/16/3036/pdf?version=1724076625","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051367545","display_name":"Zhiwei Yang","orcid":"https://orcid.org/0000-0002-0534-158X"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Yang","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086031494","display_name":"Rui Zhao","orcid":"https://orcid.org/0000-0002-9577-7714"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Zhao","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018282808","display_name":"Xiangchao Meng","orcid":"https://orcid.org/0000-0002-7405-3143"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangchao Meng","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074018705","display_name":"Gang Yang","orcid":"https://orcid.org/0000-0002-7001-2037"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Yang","raw_affiliation_strings":["Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050009113","display_name":"Weiwei Sun","orcid":"https://orcid.org/0000-0003-3399-7858"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Sun","raw_affiliation_strings":["Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo 315211, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027880590","display_name":"Shenfu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenfu Zhang","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072740765","display_name":"Jinghui Li","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghui Li","raw_affiliation_strings":["Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5086031494"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":6.1996,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.96742869,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"16","issue":"16","first_page":"3036","last_page":"3036"},"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":0.95169997215271,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9473999738693237,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8312106132507324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7605655193328857},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6554167866706848},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6381909847259521},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6270952224731445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5945919752120972},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5895262360572815},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4907864034175873},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4533923268318176},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4481941759586334},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3846626877784729},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3391944169998169},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19086891412734985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1301877796649933},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09613186120986938},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0778968334197998},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06704485416412354}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8312106132507324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7605655193328857},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6554167866706848},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6381909847259521},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6270952224731445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5945919752120972},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5895262360572815},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4907864034175873},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4533923268318176},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4481941759586334},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3846626877784729},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3391944169998169},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19086891412734985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1301877796649933},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09613186120986938},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0778968334197998},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06704485416412354},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs16163036","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16163036","pdf_url":"https://www.mdpi.com/2072-4292/16/16/3036/pdf?version=1724076625","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:de53a5526b3d4f7ebc29cb828f965714","is_oa":true,"landing_page_url":"https://doaj.org/article/de53a5526b3d4f7ebc29cb828f965714","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 16, Iss 16, p 3036 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/16/16/3036/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs16163036","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs16163036","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16163036","pdf_url":"https://www.mdpi.com/2072-4292/16/16/3036/pdf?version=1724076625","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/G2637598032","display_name":null,"funder_award_id":"2023C01027","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G2883887195","display_name":null,"funder_award_id":"LR23D010001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G3336326893","display_name":null,"funder_award_id":"LY22F010014","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G4170676565","display_name":null,"funder_award_id":"2022J076","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5124658127","display_name":null,"funder_award_id":"LY22F010014","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G5313773859","display_name":null,"funder_award_id":"42171326","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G5658660871","display_name":null,"funder_award_id":"2022J076","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G6969574053","display_name":null,"funder_award_id":"LR23D010001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G713033493","display_name":null,"funder_award_id":"42171326","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7873901222","display_name":null,"funder_award_id":"LR23D010001","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G7992135342","display_name":null,"funder_award_id":"42301376","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G8051218275","display_name":null,"funder_award_id":"42301376","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8465531","display_name":null,"funder_award_id":"2023C01027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8684625495","display_name":null,"funder_award_id":"LY22F010014","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/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401705603.pdf","grobid_xml":"https://content.openalex.org/works/W4401705603.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W1484672383","https://openalex.org/W2004491663","https://openalex.org/W2024288510","https://openalex.org/W2047870694","https://openalex.org/W2067782748","https://openalex.org/W2124463804","https://openalex.org/W2147042314","https://openalex.org/W2155653793","https://openalex.org/W2295576075","https://openalex.org/W2740976805","https://openalex.org/W2789345570","https://openalex.org/W2796629918","https://openalex.org/W2898121906","https://openalex.org/W2911876518","https://openalex.org/W2914004410","https://openalex.org/W2914981178","https://openalex.org/W2972480129","https://openalex.org/W2987833009","https://openalex.org/W3003955104","https://openalex.org/W3087883793","https://openalex.org/W3091247454","https://openalex.org/W3137199127","https://openalex.org/W3165733160","https://openalex.org/W3168241937","https://openalex.org/W3186256209","https://openalex.org/W3199351457","https://openalex.org/W4226075372","https://openalex.org/W4296210064","https://openalex.org/W4304084055","https://openalex.org/W4304092528","https://openalex.org/W4313065862","https://openalex.org/W4313590927","https://openalex.org/W4316013182","https://openalex.org/W4322576316","https://openalex.org/W4324148989","https://openalex.org/W4362500629","https://openalex.org/W4367663470","https://openalex.org/W4367663491","https://openalex.org/W4382930467","https://openalex.org/W4386121626","https://openalex.org/W4387102569","https://openalex.org/W4388407711","https://openalex.org/W4389104899","https://openalex.org/W4390691431","https://openalex.org/W4390873265","https://openalex.org/W4391759484","https://openalex.org/W4392620694","https://openalex.org/W4394011707","https://openalex.org/W4395096390","https://openalex.org/W4398151306","https://openalex.org/W4398208221","https://openalex.org/W6791818776","https://openalex.org/W6796140061","https://openalex.org/W6798770969","https://openalex.org/W6810943179","https://openalex.org/W6849626507","https://openalex.org/W6852184223","https://openalex.org/W6852274518","https://openalex.org/W6857544986","https://openalex.org/W6861008598","https://openalex.org/W6862170973","https://openalex.org/W6863404205","https://openalex.org/W6864015588","https://openalex.org/W6867918988"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990"],"abstract_inverted_index":{"Existing":[0],"methods":[1,45],"of":[2,15,21,39,52,85,99,134,171,189,201],"hyperspectral":[3,184],"anomaly":[4,54,86,187],"detection":[5,51,170],"still":[6],"face":[7],"several":[8],"challenges:":[9],"(1)":[10],"Due":[11],"to":[12,35,49,80,82,95,119],"the":[13,18,26,36,50,58,89,97,121,132,138,196,202],"limitations":[14],"self-supervision,":[16],"avoiding":[17],"identity":[19,161],"mapping":[20,162],"anomalies":[22],"remains":[23],"difficult;":[24],"(2)":[25],"ineffective":[27],"interaction":[28,122],"between":[29,123],"spatial":[30,40,153],"and":[31,42,113,163,198],"spectral":[32,154],"features":[33,136],"leads":[34],"insufficient":[37],"utilization":[38],"information;":[41],"(3)":[43],"current":[44],"are":[46],"not":[47],"adaptable":[48],"multi-scale":[53,68,74],"targets.":[55],"To":[56],"address":[57],"aforementioned":[59],"challenges,":[60],"we":[61,141],"proposed":[62,106,177,203],"a":[63,109,114,127,143],"blind-spot":[64,69],"network":[65],"based":[66],"on":[67,130,181],"convolution":[70,76,167],"for":[71,168],"HAD.":[72],"The":[73,105,176,192],"mask":[75,100,166],"module":[77,92,112],"is":[78,93],"employed":[79],"adapt":[81],"diverse":[83],"scales":[84],"targets,":[87],"while":[88],"dynamic":[90],"fusion":[91],"introduced":[94],"integrate":[96],"advantages":[98],"convolutions":[101],"at":[102,173],"different":[103,190],"scales.":[104,175,191],"approach":[107,158,178],"includes":[108],"spatial\u2013spectral":[110,124],"joint":[111,155],"background":[115,135],"feature":[116],"attention":[117],"mechanism":[118],"enhance":[120],"features,":[125],"with":[126,152,206],"specific":[128],"emphasis":[129],"highlighting":[131],"significance":[133],"within":[137],"network.":[139],"Furthermore,":[140],"propose":[142],"preprocessing":[144],"technique":[145],"that":[146],"combines":[147],"pixel":[148],"shuffle":[149],"down-sampling":[150],"(PD)":[151],"screening.":[156],"This":[157],"addresses":[159],"anomalous":[160],"enables":[164],"finite-scale":[165],"better":[169],"targets":[172,188],"various":[174],"was":[179],"assessed":[180],"four":[182],"real":[183],"datasets":[185],"comprising":[186],"experimental":[193],"results":[194],"demonstrate":[195],"effectiveness":[197],"superior":[199],"performance":[200],"methodology":[204],"compared":[205],"nine":[207],"state-of-the-art":[208],"methods.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":16}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}