{"id":"https://openalex.org/W4400352962","doi":"https://doi.org/10.3390/rs16132464","title":"Hierarchical Prototype-Aligned Graph Neural Network for Cross-Scene Hyperspectral Image Classification","display_name":"Hierarchical Prototype-Aligned Graph Neural Network for Cross-Scene Hyperspectral Image Classification","publication_year":2024,"publication_date":"2024-07-05","ids":{"openalex":"https://openalex.org/W4400352962","doi":"https://doi.org/10.3390/rs16132464"},"language":"en","primary_location":{"id":"doi:10.3390/rs16132464","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16132464","pdf_url":"https://www.mdpi.com/2072-4292/16/13/2464/pdf?version=1720170328","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/2072-4292/16/13/2464/pdf?version=1720170328","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080069383","display_name":"Danyao Shen","orcid":"https://orcid.org/0000-0002-9047-5645"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danyao Shen","raw_affiliation_strings":["Xi\u2019an Research Institute of High Technology, Xi\u2019an 710025, China","Xi'an Research Institute of High Technology, Xi'an 710025, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Research Institute of High Technology, Xi\u2019an 710025, China","institution_ids":["https://openalex.org/I4210130660"]},{"raw_affiliation_string":"Xi'an Research Institute of High Technology, Xi'an 710025, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043672285","display_name":"Haojie Hu","orcid":"https://orcid.org/0000-0002-6645-8853"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haojie Hu","raw_affiliation_strings":["Xi\u2019an Research Institute of High Technology, Xi\u2019an 710025, China","Xi'an Research Institute of High Technology, Xi'an 710025, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Research Institute of High Technology, Xi\u2019an 710025, China","institution_ids":["https://openalex.org/I4210130660"]},{"raw_affiliation_string":"Xi'an Research Institute of High Technology, Xi'an 710025, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035860485","display_name":"Fang He","orcid":"https://orcid.org/0000-0003-0445-2568"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang He","raw_affiliation_strings":["Xi\u2019an Research Institute of High Technology, Xi\u2019an 710025, China","Xi'an Research Institute of High Technology, Xi'an 710025, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Research Institute of High Technology, Xi\u2019an 710025, China","institution_ids":["https://openalex.org/I4210130660"]},{"raw_affiliation_string":"Xi'an Research Institute of High Technology, Xi'an 710025, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091458655","display_name":"Fenggan Zhang","orcid":"https://orcid.org/0000-0001-7997-9239"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fenggan Zhang","raw_affiliation_strings":["Xi\u2019an Research Institute of High Technology, Xi\u2019an 710025, China","Xi'an Research Institute of High Technology, Xi'an 710025, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Research Institute of High Technology, Xi\u2019an 710025, China","institution_ids":["https://openalex.org/I4210130660"]},{"raw_affiliation_string":"Xi'an Research Institute of High Technology, Xi'an 710025, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066300363","display_name":"Jianwei Zhao","orcid":"https://orcid.org/0000-0001-6721-2209"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Zhao","raw_affiliation_strings":["Xi\u2019an Research Institute of High Technology, Xi\u2019an 710025, China","Xi'an Research Institute of High Technology, Xi'an 710025, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Research Institute of High Technology, Xi\u2019an 710025, China","institution_ids":["https://openalex.org/I4210130660"]},{"raw_affiliation_string":"Xi'an Research Institute of High Technology, Xi'an 710025, China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101520621","display_name":"Xiaowei Shen","orcid":"https://orcid.org/0000-0002-3862-608X"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Shen","raw_affiliation_strings":["Xi\u2019an Research Institute of High Technology, Xi\u2019an 710025, China","Xi'an Research Institute of High Technology, Xi'an 710025, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Research Institute of High Technology, Xi\u2019an 710025, China","institution_ids":["https://openalex.org/I4210130660"]},{"raw_affiliation_string":"Xi'an Research Institute of High Technology, Xi'an 710025, China","institution_ids":["https://openalex.org/I4210130660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5043672285"],"corresponding_institution_ids":["https://openalex.org/I4210130660"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.6515,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85569007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"16","issue":"13","first_page":"2464","last_page":"2464"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T10057","display_name":"Face and Expression Recognition","score":0.9757999777793884,"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/T12676","display_name":"Machine Learning and ELM","score":0.9645000100135803,"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":0.717986524105072},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6117913126945496},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5230618119239807},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4391213059425354},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4384266138076782},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4327791631221771},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4093542993068695},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3896508514881134},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.36492785811424255},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21598944067955017},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.060692429542541504}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.717986524105072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6117913126945496},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5230618119239807},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4391213059425354},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4384266138076782},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4327791631221771},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4093542993068695},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3896508514881134},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36492785811424255},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21598944067955017},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.060692429542541504}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16132464","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16132464","pdf_url":"https://www.mdpi.com/2072-4292/16/13/2464/pdf?version=1720170328","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:15b16f7f166c4104829c066747875234","is_oa":true,"landing_page_url":"https://doaj.org/article/15b16f7f166c4104829c066747875234","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 13, p 2464 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16132464","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16132464","pdf_url":"https://www.mdpi.com/2072-4292/16/13/2464/pdf?version=1720170328","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":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400352962.pdf","grobid_xml":"https://content.openalex.org/works/W4400352962.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W2044637146","https://openalex.org/W2125865219","https://openalex.org/W2132467081","https://openalex.org/W2137900926","https://openalex.org/W2149298154","https://openalex.org/W2159291411","https://openalex.org/W2240757205","https://openalex.org/W2417433140","https://openalex.org/W2765739551","https://openalex.org/W2789643644","https://openalex.org/W2889472764","https://openalex.org/W2890133123","https://openalex.org/W2963532621","https://openalex.org/W2968584961","https://openalex.org/W2972359265","https://openalex.org/W2991286101","https://openalex.org/W3004205097","https://openalex.org/W3013493337","https://openalex.org/W3016244469","https://openalex.org/W3021632667","https://openalex.org/W3034937575","https://openalex.org/W3088662519","https://openalex.org/W3093462691","https://openalex.org/W3103330976","https://openalex.org/W3118357058","https://openalex.org/W3201461236","https://openalex.org/W4206471589","https://openalex.org/W4321484009","https://openalex.org/W4365130851","https://openalex.org/W4384304527","https://openalex.org/W4386453759","https://openalex.org/W4387250073","https://openalex.org/W4388969424","https://openalex.org/W6678814708","https://openalex.org/W6688325169","https://openalex.org/W6735236233","https://openalex.org/W6779579431","https://openalex.org/W6852113268","https://openalex.org/W6857219486"],"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/W2070598848","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568"],"abstract_inverted_index":{"The":[0],"objective":[1],"of":[2,13,48,62,77,112],"cross-scene":[3,94,160],"hyperspectral":[4,68],"image":[5],"(HSI)":[6],"classification":[7,27,162],"is":[8,130],"to":[9,15,140],"develop":[10],"models":[11],"capable":[12],"adapting":[14],"the":[16,43,59,78,116],"\u201cdomain":[17],"gap\u201d":[18],"that":[19],"exists":[20],"between":[21],"different":[22],"scenes,":[23],"enabling":[24],"accurate":[25,75],"object":[26],"in":[28,82],"previously":[29],"unseen":[30],"scenes.":[31,52],"Many":[32],"researchers":[33],"have":[34,57],"devised":[35],"various":[36],"domain":[37,128],"adaptation":[38],"techniques":[39],"aimed":[40],"at":[41],"aligning":[42],"statistical":[44,133],"or":[45],"spectral":[46],"distributions":[47],"data":[49,80],"from":[50,67],"diverse":[51],"However,":[53],"many":[54],"previous":[55],"studies":[56],"overlooked":[58],"potential":[60],"benefits":[61],"incorporating":[63],"spatial":[64],"topological":[65,145],"information":[66],"imagery,":[69],"which":[70],"could":[71],"provide":[72],"a":[73],"more":[74],"representation":[76],"inherent":[79],"structure":[81],"HSIs.":[83],"To":[84],"overcome":[85],"this":[86,104],"issue,":[87],"we":[88,136],"introduce":[89],"an":[90],"innovative":[91],"approach":[92],"for":[93,159],"HSI":[95,161],"classification,":[96],"founded":[97],"on":[98,149],"hierarchical":[99],"prototype":[100],"graph":[101,122,138],"alignment.":[102],"Specifically,":[103],"method":[105],"leverages":[106],"prototypes":[107],"as":[108],"representative":[109],"embedded":[110],"representations":[111],"all":[113],"samples":[114],"within":[115],"same":[117],"class.":[118],"By":[119],"employing":[120],"multiple":[121],"convolution":[123],"and":[124,144,156],"pooling":[125],"operations,":[126],"multi-scale":[127],"alignment":[129],"attained.":[131],"Beyond":[132],"distribution":[134],"alignment,":[135],"integrate":[137],"matching":[139],"effectively":[141],"reconcile":[142],"semantic":[143],"information.":[146],"Experimental":[147],"results":[148],"several":[150],"datasets":[151],"achieve":[152],"significantly":[153],"improved":[154],"accuracy":[155],"generalization":[157],"capabilities":[158],"tasks.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-13T14:20:09.374765","created_date":"2025-10-10T00:00:00"}
