{"id":"https://openalex.org/W4403942987","doi":"https://doi.org/10.3390/rs16214055","title":"Center-Highlighted Multiscale CNN for Classification of Hyperspectral Images","display_name":"Center-Highlighted Multiscale CNN for Classification of Hyperspectral Images","publication_year":2024,"publication_date":"2024-10-31","ids":{"openalex":"https://openalex.org/W4403942987","doi":"https://doi.org/10.3390/rs16214055"},"language":"en","primary_location":{"id":"doi:10.3390/rs16214055","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16214055","pdf_url":null,"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://doi.org/10.3390/rs16214055","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102929036","display_name":"Xinghui Zhu","orcid":"https://orcid.org/0000-0002-3550-4167"},"institutions":[{"id":"https://openalex.org/I52180223","display_name":"Hunan Agricultural University","ror":"https://ror.org/01dzed356","country_code":"CN","type":"education","lineage":["https://openalex.org/I52180223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing-Hui Zhu","raw_affiliation_strings":["College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China","institution_ids":["https://openalex.org/I52180223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113381416","display_name":"Kai-Run Li","orcid":null},"institutions":[{"id":"https://openalex.org/I52180223","display_name":"Hunan Agricultural University","ror":"https://ror.org/01dzed356","country_code":"CN","type":"education","lineage":["https://openalex.org/I52180223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai-Run Li","raw_affiliation_strings":["College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China","institution_ids":["https://openalex.org/I52180223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021308087","display_name":"Yang\u2010Jun Deng","orcid":"https://orcid.org/0000-0003-2532-1567"},"institutions":[{"id":"https://openalex.org/I52180223","display_name":"Hunan Agricultural University","ror":"https://ror.org/01dzed356","country_code":"CN","type":"education","lineage":["https://openalex.org/I52180223"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang-Jun Deng","raw_affiliation_strings":["College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China"],"raw_orcid":"https://orcid.org/0000-0003-2532-1567","affiliations":[{"raw_affiliation_string":"College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China","institution_ids":["https://openalex.org/I52180223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045467104","display_name":"Chen\u2010Feng Long","orcid":null},"institutions":[{"id":"https://openalex.org/I52180223","display_name":"Hunan Agricultural University","ror":"https://ror.org/01dzed356","country_code":"CN","type":"education","lineage":["https://openalex.org/I52180223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen-Feng Long","raw_affiliation_strings":["College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China"],"raw_orcid":"https://orcid.org/0000-0001-6840-4704","affiliations":[{"raw_affiliation_string":"College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China","institution_ids":["https://openalex.org/I52180223"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080746643","display_name":"Weiye Wang","orcid":"https://orcid.org/0000-0002-6267-6167"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Ye Wang","raw_affiliation_strings":["College of Software Engineering, Chengdu University of Information Technology, Chengdu 610225, China"],"raw_orcid":"https://orcid.org/0000-0002-6267-6167","affiliations":[{"raw_affiliation_string":"College of Software Engineering, Chengdu University of Information Technology, Chengdu 610225, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069297663","display_name":"Siqiao Tan","orcid":"https://orcid.org/0000-0001-9630-9632"},"institutions":[{"id":"https://openalex.org/I52180223","display_name":"Hunan Agricultural University","ror":"https://ror.org/01dzed356","country_code":"CN","type":"education","lineage":["https://openalex.org/I52180223"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si-Qiao Tan","raw_affiliation_strings":["College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Intelligence, Hunan Agricultural University, Changsha 410128, China","institution_ids":["https://openalex.org/I52180223"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5021308087"],"corresponding_institution_ids":["https://openalex.org/I52180223"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.8825,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78521725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"16","issue":"21","first_page":"4055","last_page":"4055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9876000285148621,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9873999953269958,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6947647929191589},{"id":"https://openalex.org/keywords/center","display_name":"Center (category theory)","score":0.518543541431427},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4623616337776184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4403707981109619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42420464754104614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41257384419441223},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2295471727848053}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6947647929191589},{"id":"https://openalex.org/C2779463800","wikidata":"https://www.wikidata.org/wiki/Q5062222","display_name":"Center (category theory)","level":2,"score":0.518543541431427},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4623616337776184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4403707981109619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42420464754104614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41257384419441223},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2295471727848053},{"id":"https://openalex.org/C8010536","wikidata":"https://www.wikidata.org/wiki/Q160398","display_name":"Crystallography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16214055","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16214055","pdf_url":null,"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:58858b4ab30343b7a827392459a01db8","is_oa":false,"landing_page_url":"https://doaj.org/article/58858b4ab30343b7a827392459a01db8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"Remote Sensing, Vol 16, Iss 21, p 4055 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16214055","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16214055","pdf_url":null,"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/G2235617727","display_name":null,"funder_award_id":"2023JJ40333","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3895968865","display_name":null,"funder_award_id":"62401203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7748873089","display_name":null,"funder_award_id":"2022JJ40189","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1521436688","https://openalex.org/W1901129140","https://openalex.org/W1950365613","https://openalex.org/W1965309615","https://openalex.org/W2008847349","https://openalex.org/W2089372326","https://openalex.org/W2194775991","https://openalex.org/W2549139847","https://openalex.org/W2572303978","https://openalex.org/W2602024454","https://openalex.org/W2752782242","https://openalex.org/W2810947348","https://openalex.org/W2888715336","https://openalex.org/W2905050334","https://openalex.org/W2908955282","https://openalex.org/W2942170965","https://openalex.org/W2948157022","https://openalex.org/W2966974040","https://openalex.org/W2973538958","https://openalex.org/W2989697276","https://openalex.org/W2997035159","https://openalex.org/W2999446243","https://openalex.org/W3011424859","https://openalex.org/W3047443805","https://openalex.org/W3049655825","https://openalex.org/W3103695279","https://openalex.org/W3128776197","https://openalex.org/W3199715002","https://openalex.org/W3211126445","https://openalex.org/W4240485910","https://openalex.org/W4285124290","https://openalex.org/W4298146218","https://openalex.org/W4312899742","https://openalex.org/W4312940821","https://openalex.org/W4366504084","https://openalex.org/W4386814434","https://openalex.org/W4391594050","https://openalex.org/W6840360099","https://openalex.org/W6852127663"],"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/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Hyperspectral":[0,19],"images":[1],"(HSIs)":[2],"capture":[3,47,112],"a":[4,86],"wide":[5],"range":[6],"of":[7,13,34,64,79,130,163,178,200,214],"spectral":[8,167],"features":[9,49,66,129,155,165],"across":[10],"multiple":[11],"bands":[12],"light,":[14],"from":[15,171,186],"visible":[16],"to":[17,25,46,61,105,124,151],"near-infrared.":[18],"image":[20,94],"classification":[21,58,95],"technology":[22],"enables":[23],"researchers":[24],"accurately":[26],"identify":[27],"and":[28,32,111,156,166,203,219],"analyze":[29],"the":[30,51,62,68,73,77,80,113,116,121,127,131,138,144,154,176,179,195,206],"composition":[31],"distribution":[33],"surface":[35],"materials.":[36],"Current":[37],"mainstream":[38],"deep":[39],"learning":[40],"methods":[41,211],"typically":[42],"use":[43],"block":[44,133],"sampling":[45,81,132],"spatial":[48,164],"for":[50,92,191],"model.":[52],"However,":[53],"this":[54,83],"approach":[55],"can":[56],"affect":[57],"results":[59,170],"due":[60],"influence":[63],"neighboring":[65],"within":[67],"sample":[69],"block.":[70],"To":[71],"improve":[72],"model\u2019s":[74,122],"focus":[75],"on":[76,126,205],"center":[78,87,139],"block,":[82],"study":[84],"proposes":[85],"highlight":[88],"with":[89,212],"multiscale":[90],"CNN":[91],"hyperspectral":[93,173],"(CHMSC).":[96],"The":[97],"network":[98],"utilizes":[99],"an":[100,147],"automatic":[101],"channel":[102,109],"selector":[103],"(Auto-CHS)":[104],"fully":[106],"consider":[107],"every":[108],"feature":[110],"correlation":[114],"between":[115,160],"channels.":[117],"Then,":[118],"CHMSC":[119,193],"enhances":[120],"ability":[123],"concentrate":[125],"central":[128],"utilizing":[134],"structures":[135],"such":[136],"as":[137],"highlight.":[140],"Finally,":[141],"before":[142],"outputting":[143],"prediction":[145],"results,":[146],"SENet":[148],"is":[149],"employed":[150],"further":[152],"refine":[153],"learn":[157],"associate":[158],"interactions":[159],"different":[161],"scales":[162],"features.":[168],"Experimental":[169],"three":[172,207],"datasets":[174],"validate":[175],"effectiveness":[177],"proposed":[180],"method.":[181],"Specifically,":[182],"when":[183],"15":[184],"samples":[185],"each":[187],"class":[188],"are":[189],"selected":[190],"training,":[192],"achieves":[194],"highest":[196],"overall":[197],"accuracy":[198],"(OA)":[199],"90.05%,":[201],"92.78%,":[202],"90.15%":[204],"datasets,":[208],"outperforming":[209],"other":[210],"increases":[213],"more":[215],"than":[216],"3.11%,":[217],"1.8%,":[218],"2.01%":[220],"in":[221],"OA,":[222],"respectively.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}