{"id":"https://openalex.org/W4378229647","doi":"https://doi.org/10.3390/rs15112720","title":"Hyperspectral Image Classification Based on Multiscale Hybrid Networks and Attention Mechanisms","display_name":"Hyperspectral Image Classification Based on Multiscale Hybrid Networks and Attention Mechanisms","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4378229647","doi":"https://doi.org/10.3390/rs15112720"},"language":"en","primary_location":{"id":"doi:10.3390/rs15112720","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112720","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2720/pdf?version=1684918679","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/2072-4292/15/11/2720/pdf?version=1684918679","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005478327","display_name":"Haizhu Pan","orcid":"https://orcid.org/0000-0002-3916-8949"},"institutions":[{"id":"https://openalex.org/I111971639","display_name":"Qiqihar University","ror":"https://ror.org/01khf5d59","country_code":"CN","type":"education","lineage":["https://openalex.org/I111971639"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haizhu Pan","raw_affiliation_strings":["College of Computer and Control Engineering, Qiqihar University, Qiqihar 161000, China","Heilongjiang Key Laboratory of Big Data Network Security Detection and Analysis, Qiqihar University, Qiqihar 161000, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Qiqihar University, Qiqihar 161000, China","institution_ids":["https://openalex.org/I111971639"]},{"raw_affiliation_string":"Heilongjiang Key Laboratory of Big Data Network Security Detection and Analysis, Qiqihar University, Qiqihar 161000, China","institution_ids":["https://openalex.org/I111971639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100650517","display_name":"Xiaoyu Zhao","orcid":"https://orcid.org/0000-0002-5539-6423"},"institutions":[{"id":"https://openalex.org/I111971639","display_name":"Qiqihar University","ror":"https://ror.org/01khf5d59","country_code":"CN","type":"education","lineage":["https://openalex.org/I111971639"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Zhao","raw_affiliation_strings":["College of Computer and Control Engineering, Qiqihar University, Qiqihar 161000, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Qiqihar University, Qiqihar 161000, China","institution_ids":["https://openalex.org/I111971639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049569750","display_name":"Haimiao Ge","orcid":null},"institutions":[{"id":"https://openalex.org/I111971639","display_name":"Qiqihar University","ror":"https://ror.org/01khf5d59","country_code":"CN","type":"education","lineage":["https://openalex.org/I111971639"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haimiao Ge","raw_affiliation_strings":["College of Computer and Control Engineering, Qiqihar University, Qiqihar 161000, China","Heilongjiang Key Laboratory of Big Data Network Security Detection and Analysis, Qiqihar University, Qiqihar 161000, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Qiqihar University, Qiqihar 161000, China","institution_ids":["https://openalex.org/I111971639"]},{"raw_affiliation_string":"Heilongjiang Key Laboratory of Big Data Network Security Detection and Analysis, Qiqihar University, Qiqihar 161000, China","institution_ids":["https://openalex.org/I111971639"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046957572","display_name":"Moqi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I111971639","display_name":"Qiqihar University","ror":"https://ror.org/01khf5d59","country_code":"CN","type":"education","lineage":["https://openalex.org/I111971639"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Moqi Liu","raw_affiliation_strings":["College of Computer and Control Engineering, Qiqihar University, Qiqihar 161000, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Qiqihar University, Qiqihar 161000, China","institution_ids":["https://openalex.org/I111971639"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083404607","display_name":"Cuiping Shi","orcid":"https://orcid.org/0000-0001-5877-1762"},"institutions":[{"id":"https://openalex.org/I111971639","display_name":"Qiqihar University","ror":"https://ror.org/01khf5d59","country_code":"CN","type":"education","lineage":["https://openalex.org/I111971639"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuiping Shi","raw_affiliation_strings":["College of Telecommunication and Electronic Engineering, Qiqihar University, Qiqihar 161000, China"],"affiliations":[{"raw_affiliation_string":"College of Telecommunication and Electronic Engineering, Qiqihar University, Qiqihar 161000, China","institution_ids":["https://openalex.org/I111971639"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005478327"],"corresponding_institution_ids":["https://openalex.org/I111971639"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.724,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.86132554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"15","issue":"11","first_page":"2720","last_page":"2720"},"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":0.9947999715805054,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9925000071525574,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7746303081512451},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7607858777046204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6493265628814697},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6240731477737427},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5387964844703674},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5360356569290161},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4942531883716583},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43706709146499634},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3450084924697876},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.21351423859596252},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06144142150878906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746303081512451},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7607858777046204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6493265628814697},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6240731477737427},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5387964844703674},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5360356569290161},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4942531883716583},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43706709146499634},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3450084924697876},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.21351423859596252},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06144142150878906},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/rs15112720","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112720","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2720/pdf?version=1684918679","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:97f2a7a5d8ac4c00bb001410bc8fe761","is_oa":true,"landing_page_url":"https://doaj.org/article/97f2a7a5d8ac4c00bb001410bc8fe761","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 15, Iss 11, p 2720 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/11/2720/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15112720","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; Volume 15; Issue 11; Pages: 2720","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15112720","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112720","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2720/pdf?version=1684918679","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":[{"id":"https://metadata.un.org/sdg/17","score":0.41999998688697815,"display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2476221792","display_name":null,"funder_award_id":"Heilongjiang","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2553516566","display_name":null,"funder_award_id":"145209122","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6527235421","display_name":null,"funder_award_id":"42271409","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4378229647.pdf","grobid_xml":"https://content.openalex.org/works/W4378229647.grobid-xml"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W194249466","https://openalex.org/W301969955","https://openalex.org/W1521436688","https://openalex.org/W1610060839","https://openalex.org/W1677182931","https://openalex.org/W1836465849","https://openalex.org/W2007179958","https://openalex.org/W2009235968","https://openalex.org/W2017014096","https://openalex.org/W2018257962","https://openalex.org/W2021597230","https://openalex.org/W2029316659","https://openalex.org/W2058795991","https://openalex.org/W2089372326","https://openalex.org/W2100495367","https://openalex.org/W2101234009","https://openalex.org/W2140991832","https://openalex.org/W2171171329","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2412588858","https://openalex.org/W2500751094","https://openalex.org/W2548340849","https://openalex.org/W2580081062","https://openalex.org/W2602024454","https://openalex.org/W2614326984","https://openalex.org/W2752782242","https://openalex.org/W2754507318","https://openalex.org/W2764276316","https://openalex.org/W2822065499","https://openalex.org/W2884585870","https://openalex.org/W2891059222","https://openalex.org/W2912327653","https://openalex.org/W2914331134","https://openalex.org/W2942454403","https://openalex.org/W2946747211","https://openalex.org/W2948157022","https://openalex.org/W2962770389","https://openalex.org/W2963446712","https://openalex.org/W2980930055","https://openalex.org/W2982220924","https://openalex.org/W2987619624","https://openalex.org/W2989871747","https://openalex.org/W2991616716","https://openalex.org/W2992919850","https://openalex.org/W3014253313","https://openalex.org/W3014628500","https://openalex.org/W3046220160","https://openalex.org/W3047443805","https://openalex.org/W3081753142","https://openalex.org/W3098388691","https://openalex.org/W3103695279","https://openalex.org/W3120178332","https://openalex.org/W3130652158","https://openalex.org/W3140678646","https://openalex.org/W3168080945","https://openalex.org/W3171243408","https://openalex.org/W3195547108","https://openalex.org/W3198788895","https://openalex.org/W3213437176","https://openalex.org/W4200499371","https://openalex.org/W4210330613","https://openalex.org/W4210753575","https://openalex.org/W4220769261","https://openalex.org/W4224130636","https://openalex.org/W4229376514","https://openalex.org/W4312141044","https://openalex.org/W4365442735","https://openalex.org/W4385245566","https://openalex.org/W6675354045","https://openalex.org/W6684897833","https://openalex.org/W6739901393","https://openalex.org/W6782801387","https://openalex.org/W6795653357"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W2019190440","https://openalex.org/W2343470940","https://openalex.org/W3034864990"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"(HSI)":[2],"classification":[3,59,82,110,126,181],"is":[4,18,195],"one":[5],"of":[6,70,95,206],"the":[7,68,147,169,192,204],"most":[8],"crucial":[9],"tasks":[10],"in":[11,48],"remote":[12],"sensing":[13],"processing.":[14,36],"The":[15,92,129,166],"attention":[16,43,90,134],"mechanism":[17],"preferable":[19],"to":[20,27,31,56,115,119,124,179,199],"a":[21,54,79,98,103,109],"convolutional":[22],"neural":[23],"network":[24,83,93,132,170,194],"(CNN),":[25],"due":[26],"its":[28],"superior":[29],"ability":[30],"express":[32],"information":[33,161],"during":[34],"HSI":[35,49,81,188],"Recently,":[37],"numerous":[38],"methods":[39],"combining":[40],"CNNs":[41],"and":[42,89,108,123,133,142,178],"mechanisms":[44,135],"have":[45],"been":[46],"applied":[47],"classification.":[50],"However,":[51],"it":[52],"remains":[53],"challenge":[55],"achieve":[57],"high-accuracy":[58],"by":[60,139],"fully":[61],"extracting":[62],"effective":[63],"features":[64,144,174],"from":[65],"HSIs":[66],"under":[67,203],"conditions":[69],"limited":[71],"labeled":[72],"samples.":[73,208],"In":[74,146],"this":[75],"paper,":[76],"we":[77],"design":[78],"novel":[80],"based":[84],"on":[85,185],"multiscale":[86,130,151],"hybrid":[87],"networks":[88],"mechanisms.":[91],"consists":[94],"three":[96],"subnetworks:":[97],"spectral-spatial":[99,117],"feature":[100],"extraction":[101],"network,":[102,107,111,150],"spatial":[104,121,148,173],"inverted":[105],"pyramid":[106,149],"which":[112,157],"are":[113,153],"employed":[114],"extract":[116,120],"features,":[118,122],"obtain":[125],"results,":[127],"respectively.":[128],"fusion":[131],"complement":[136],"each":[137],"other":[138],"capturing":[140],"local":[141],"global":[143],"separately.":[145],"spaces":[152],"formed":[154],"through":[155],"down-sampling,":[156],"can":[158],"reduce":[159],"redundant":[160],"while":[162],"retaining":[163],"important":[164],"information.":[165],"structure":[167],"helps":[168],"better":[171],"capture":[172],"at":[175],"different":[176],"scales,":[177],"improve":[180],"accuracy.":[182],"Experimental":[183],"results":[184],"various":[186],"public":[187],"datasets":[189],"demonstrate":[190],"that":[191],"designed":[193],"extremely":[196],"competitive":[197],"compared":[198],"current":[200],"advanced":[201],"approaches,":[202],"condition":[205],"insufficient":[207]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2023-05-26T00:00:00"}