{"id":"https://openalex.org/W4392709796","doi":"https://doi.org/10.3390/rs16060990","title":"AL-MRIS: An Active Learning-Based Multipath Residual Involution Siamese Network for Few-Shot Hyperspectral Image Classification","display_name":"AL-MRIS: An Active Learning-Based Multipath Residual Involution Siamese Network for Few-Shot Hyperspectral Image Classification","publication_year":2024,"publication_date":"2024-03-12","ids":{"openalex":"https://openalex.org/W4392709796","doi":"https://doi.org/10.3390/rs16060990"},"language":"en","primary_location":{"id":"doi:10.3390/rs16060990","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16060990","pdf_url":"https://www.mdpi.com/2072-4292/16/6/990/pdf?version=1710227569","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/2072-4292/16/6/990/pdf?version=1710227569","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100940441","display_name":"Jinghui Yang","orcid":"https://orcid.org/0000-0001-9940-4125"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinghui Yang","raw_affiliation_strings":["School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100641330","display_name":"Qin Jia","orcid":"https://orcid.org/0000-0002-5262-3555"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Qin","raw_affiliation_strings":["School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028475589","display_name":"Jinxi Qian","orcid":null},"institutions":[{"id":"https://openalex.org/I194716290","display_name":"China Academy of Space Technology","ror":"https://ror.org/025397a59","country_code":"CN","type":"government","lineage":["https://openalex.org/I194716290","https://openalex.org/I2802615301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxi Qian","raw_affiliation_strings":["Institute of Telecommunication and Navigation Satellites, China Academy of Space Technology, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunication and Navigation Satellites, China Academy of Space Technology, Beijing 100094, China","institution_ids":["https://openalex.org/I194716290"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402747","display_name":"Anqi Li","orcid":"https://orcid.org/0000-0001-8580-4750"},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anqi Li","raw_affiliation_strings":["School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636411","display_name":"Liguo Wang","orcid":"https://orcid.org/0000-0001-9373-6233"},"institutions":[{"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, Dalian Minzu University, Dalian 116600, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Dalian Minzu University, Dalian 116600, China","institution_ids":["https://openalex.org/I61565387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100940441"],"corresponding_institution_ids":["https://openalex.org/I3125743391"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.1766,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88350261,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"16","issue":"6","first_page":"990","last_page":"990"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.9994999766349792,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9779000282287598,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.974399983882904,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.558299720287323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5382573008537292},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.521476149559021},{"id":"https://openalex.org/keywords/involution","display_name":"Involution (esoterism)","score":0.4597944915294647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4516035318374634},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.428332656621933},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15005800127983093},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.14680621027946472},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11912813782691956}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.558299720287323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5382573008537292},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.521476149559021},{"id":"https://openalex.org/C2781409172","wikidata":"https://www.wikidata.org/wiki/Q17056802","display_name":"Involution (esoterism)","level":3,"score":0.4597944915294647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4516035318374634},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.428332656621933},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15005800127983093},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.14680621027946472},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11912813782691956},{"id":"https://openalex.org/C186720457","wikidata":"https://www.wikidata.org/wiki/Q7087","display_name":"Consciousness","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16060990","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16060990","pdf_url":"https://www.mdpi.com/2072-4292/16/6/990/pdf?version=1710227569","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:ad7260d16ee34fc2812d46a967b8ce52","is_oa":true,"landing_page_url":"https://doaj.org/article/ad7260d16ee34fc2812d46a967b8ce52","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 6, p 990 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16060990","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16060990","pdf_url":"https://www.mdpi.com/2072-4292/16/6/990/pdf?version=1710227569","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":[{"display_name":"Reduced inequalities","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1889439371","display_name":null,"funder_award_id":"62001434","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/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/G7424700364","display_name":null,"funder_award_id":"62071084","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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392709796.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W2001267978","https://openalex.org/W2114828048","https://openalex.org/W2607712335","https://openalex.org/W2765904812","https://openalex.org/W2785967837","https://openalex.org/W2792492450","https://openalex.org/W2889454130","https://openalex.org/W2914331134","https://openalex.org/W2986799142","https://openalex.org/W3011495011","https://openalex.org/W3035571898","https://openalex.org/W3099428178","https://openalex.org/W3105492824","https://openalex.org/W3108743714","https://openalex.org/W3123390980","https://openalex.org/W3127327694","https://openalex.org/W3131437069","https://openalex.org/W3132859298","https://openalex.org/W3132867842","https://openalex.org/W3177349073","https://openalex.org/W3189063576","https://openalex.org/W3191600511","https://openalex.org/W3195051845","https://openalex.org/W4283760989","https://openalex.org/W4285106080","https://openalex.org/W4296913316","https://openalex.org/W4312555688","https://openalex.org/W4313229425","https://openalex.org/W4317761504","https://openalex.org/W4380680196","https://openalex.org/W4386598498","https://openalex.org/W4387609145","https://openalex.org/W4388019135","https://openalex.org/W4388469817","https://openalex.org/W4388579669","https://openalex.org/W6791058016","https://openalex.org/W6799059858","https://openalex.org/W6800366098","https://openalex.org/W6843448123","https://openalex.org/W6848386884","https://openalex.org/W6849121347","https://openalex.org/W6857685678"],"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/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"In":[0],"hyperspectral":[1,31],"image":[2],"(HSI)":[3],"classification":[4,12,65,84,231,250,261,269],"scenarios,":[5],"deep":[6],"learning-based":[7],"methods":[8],"have":[9],"achieved":[10],"excellent":[11,249],"performance,":[13],"but":[14],"often":[15],"rely":[16],"on":[17],"large-scale":[18],"training":[19,53,60,254],"datasets":[20],"to":[21,43,117,122,150,163],"ensure":[22],"accuracy.":[23,270],"However,":[24],"in":[25,135],"practical":[26],"applications,":[27],"the":[28,69,112,124,130,138,147,152,156,165,171,176,186,200,214,219,226,229,243,263,267],"acquisition":[29],"of":[30,46,132,155,175,203,222,228,238],"labeled":[32,48],"samples":[33,121,134],"is":[34,86,94,107,115,144,211,233],"time":[35],"consuming,":[36],"labor":[37],"intensive":[38],"and":[39,61,111,128,168,191,256],"costly,":[40],"which":[41,99,198],"leads":[42],"a":[44,206],"scarcity":[45],"obtained":[47],"samples.":[49],"Suffering":[50],"from":[51],"insufficient":[52],"samples,":[54,255],"few-shot":[55,82,253],"sample":[56,105],"conditions":[57],"limit":[58],"model":[59],"ultimately":[62],"affect":[63],"HSI":[64,83,177,224],"performance.":[66],"To":[67],"solve":[68],"above":[70],"issues,":[71],"an":[72,89],"active":[73],"learning":[74],"(AL)-based":[75],"multipath":[76,139,195],"residual":[77,140,196],"involution":[78,141,159],"Siamese":[79,91,97,148,215,230],"network":[80,92,232],"for":[81,104,109,146,213],"(AL-MRIS)":[85],"proposed.":[87],"First,":[88],"AL-based":[90],"framework":[93],"constructed.":[95],"The":[96,158,181],"network,":[98],"has":[100],"relatively":[101],"low":[102],"demand":[103],"data,":[106,225],"adopted":[108],"classification,":[110],"AL":[113],"strategy":[114],"integrated":[116],"select":[118],"more":[119],"representative":[120],"improve":[123],"model\u2019s":[125],"discriminative":[126],"ability":[127,202],"reduce":[129],"costs":[131],"labeling":[133],"practice.":[136],"Then,":[137],"(MRIN)":[142],"module":[143,183],"designed":[145],"subnetwork":[149],"obtain":[151],"comprehensive":[153],"features":[154,167,190,193],"HSI.":[157],"operation":[160],"was":[161],"used":[162],"capture":[164],"fine-grained":[166],"effectively":[169],"aggregate":[170],"contextual":[172],"semantic":[173],"information":[174],"through":[178,194],"dynamic":[179,189],"weights.":[180],"MRIN":[182],"comprehensively":[184],"considers":[185],"local":[187],"features,":[188],"global":[192],"connections,":[197],"improves":[199],"representation":[201],"HSIs.":[204],"Moreover,":[205],"cosine":[207],"distance-based":[208],"contrastive":[209],"loss":[210],"proposed":[212,244],"network.":[216],"By":[217],"utilizing":[218],"directional":[220],"similarity":[221],"high-dimensional":[223],"discriminability":[227],"improved.":[234],"A":[235],"large":[236],"number":[237],"experimental":[239],"results":[240],"show":[241],"that":[242],"AL-MRIS":[245,264],"method":[246,265],"can":[247],"achieve":[248],"performance":[251],"with":[252,258],"compared":[257],"several":[259],"state-of-the-art":[260],"methods,":[262],"obtains":[266],"highest":[268]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
