{"id":"https://openalex.org/W4378373429","doi":"https://doi.org/10.1109/tgrs.2023.3280183","title":"Spectral\u2013Spatial MLP-Like Network With Reciprocal Points Learning for Open-Set Hyperspectral Image Classification","display_name":"Spectral\u2013Spatial MLP-Like Network With Reciprocal Points Learning for Open-Set Hyperspectral Image Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4378373429","doi":"https://doi.org/10.1109/tgrs.2023.3280183"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3280183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3280183","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056740310","display_name":"Yifan Sun","orcid":"https://orcid.org/0000-0002-0801-7697"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Sun","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0801-7697","affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039991862","display_name":"Bing Liu","orcid":"https://orcid.org/0000-0003-0848-8453"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Liu","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ruirui Wang","orcid":"https://orcid.org/0000-0003-0848-8453"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruirui Wang","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0848-8453","affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034523235","display_name":"Pengqiang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengqiang Zhang","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009943113","display_name":"Mofan Dai","orcid":"https://orcid.org/0000-0002-9843-4100"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mofan Dai","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I169689159"],"apc_list":null,"apc_paid":null,"fwci":5.9512,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.96707048,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"18"},"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":0.9922999739646912,"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":0.9918000102043152,"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":0.6784732341766357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.672816812992096},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6001588106155396},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5728973150253296},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5434887409210205},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.513703465461731},{"id":"https://openalex.org/keywords/open-set","display_name":"Open set","score":0.4528639018535614},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.444248765707016},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24688711762428284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6784732341766357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.672816812992096},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6001588106155396},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5728973150253296},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5434887409210205},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.513703465461731},{"id":"https://openalex.org/C42357961","wikidata":"https://www.wikidata.org/wiki/Q213363","display_name":"Open set","level":2,"score":0.4528639018535614},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.444248765707016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24688711762428284},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3280183","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3280183","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G986355873","display_name":null,"funder_award_id":"222300420387","funder_id":"https://openalex.org/F4320323845","funder_display_name":"Natural Science Foundation of Henan Province"}],"funders":[{"id":"https://openalex.org/F4320323845","display_name":"Natural Science Foundation of Henan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W572355794","https://openalex.org/W1032927584","https://openalex.org/W1521436688","https://openalex.org/W1576462183","https://openalex.org/W2004754531","https://openalex.org/W2018459374","https://openalex.org/W2019338222","https://openalex.org/W2067869061","https://openalex.org/W2119880843","https://openalex.org/W2126972815","https://openalex.org/W2152057649","https://openalex.org/W2248269543","https://openalex.org/W2342652911","https://openalex.org/W2412588858","https://openalex.org/W2518815253","https://openalex.org/W2580081062","https://openalex.org/W2764276316","https://openalex.org/W2768537477","https://openalex.org/W2800371750","https://openalex.org/W2898204262","https://openalex.org/W2904509905","https://openalex.org/W2904698365","https://openalex.org/W2940678725","https://openalex.org/W2963149653","https://openalex.org/W2973218493","https://openalex.org/W2989871747","https://openalex.org/W3012405452","https://openalex.org/W3035081753","https://openalex.org/W3043183554","https://openalex.org/W3046027728","https://openalex.org/W3047443805","https://openalex.org/W3080744342","https://openalex.org/W3083068801","https://openalex.org/W3095099350","https://openalex.org/W3099850646","https://openalex.org/W3103695279","https://openalex.org/W3106653142","https://openalex.org/W3107591966","https://openalex.org/W3115571254","https://openalex.org/W3120356488","https://openalex.org/W3122774149","https://openalex.org/W3125860323","https://openalex.org/W3127148410","https://openalex.org/W3131515870","https://openalex.org/W3132867842","https://openalex.org/W3133271982","https://openalex.org/W3133902755","https://openalex.org/W3134961575","https://openalex.org/W3139745482","https://openalex.org/W3140885850","https://openalex.org/W3157506437","https://openalex.org/W3165729427","https://openalex.org/W3183804933","https://openalex.org/W3191251640","https://openalex.org/W3193242948","https://openalex.org/W3196711624","https://openalex.org/W3205562676","https://openalex.org/W3205614732","https://openalex.org/W3205965083","https://openalex.org/W3207005322","https://openalex.org/W3214821343","https://openalex.org/W4205615939","https://openalex.org/W4206241340","https://openalex.org/W4206307542","https://openalex.org/W4210817385","https://openalex.org/W4212819272","https://openalex.org/W4220730824","https://openalex.org/W4223616928","https://openalex.org/W4224863932","https://openalex.org/W4225931144","https://openalex.org/W4226297238","https://openalex.org/W4226363321","https://openalex.org/W4229042884","https://openalex.org/W4283760989","https://openalex.org/W4285262969","https://openalex.org/W4286905471","https://openalex.org/W4289641562","https://openalex.org/W4306153721","https://openalex.org/W4312682509","https://openalex.org/W4312743284","https://openalex.org/W6775559549","https://openalex.org/W6791774990","https://openalex.org/W6795140394","https://openalex.org/W6799321896","https://openalex.org/W6802159084"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W4388321867","https://openalex.org/W4283819694","https://openalex.org/W2369921616","https://openalex.org/W4307413935","https://openalex.org/W2387644738","https://openalex.org/W4293744028"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"deep-learning-based":[3],"hyperspectral":[4],"image":[5],"(HSI)":[6],"classification":[7,266,272],"methods":[8,21,79],"have":[9],"achieved":[10],"significant":[11],"development":[12],"and":[13,37,83,134,153,176,215,229,255,257,263,287],"gradually":[14],"become":[15],"widely":[16],"applied.":[17],"The":[18,141,289],"existing":[19],"advanced":[20,77,261,282],"can":[22,278],"achieve":[23],"near-saturation":[24],"performance":[25,111,179,251],"with":[26,103,204,280],"sufficient":[27],"labels":[28],"in":[29,70,91,253],"a":[30,99,117,162,191,205,249],"closed-set":[31,262],"environment":[32,94],"(CSE),":[33],"i.e.,":[34,61],"training":[35,72],"set":[36,39],"test":[38],"are":[40,67],"all":[41],"known":[42,152,168],"categories":[43,65,87,175],"of":[44,55,58,88,112,138,166,180,188,207,274],"ground":[45,89],"objects.":[46],"However,":[47],"the":[48,56,71,75,110,131,136,148,151,173,181,186,200,221,230,281],"real":[49],"world":[50],"is":[51,127,196],"usually":[52],"open":[53,139,178,293],"because":[54],"diversity":[57],"land":[59],"covers,":[60],"test-set":[62],"exists":[63],"unknown":[64,86,154,174],"that":[66,246],"not":[68],"labeled":[69],"set.":[73],"Therefore,":[74,96],"prevalent":[76],"CSE":[78,254],"still":[80],"cannot":[81],"effectively":[82,171],"robustly":[84],"handle":[85],"objects":[90],"an":[92,269],"open-set":[93,113,264],"(OSE).":[95],"we":[97,157],"propose":[98,159],"spectral-spatial":[100,192,201],"MLP-like":[101,193],"network":[102,194,277],"reciprocal":[104,123],"points":[105,124],"learning":[106,119,125],"(SSMLP-RPL)":[107],"to":[108,129,146,160,170,184,198,225,234],"improve":[109,177],"HSI":[114,265,271],"classification.":[115],"First,":[116],"feature":[118,143,189,202],"framework":[120,273],"based":[121,284],"on":[122,241,285],"(RPL)":[126],"constructed":[128],"model":[130,226,235],"extra-category":[132],"space":[133,144],"reduce":[135],"risk":[137],"space.":[140],"learned":[142],"enables":[145,224,233],"enlarge":[147],"distance":[149],"between":[150],"categories.":[155],"Besides,":[156],"further":[158],"utilize":[161],"learnable":[163],"dynamic":[164],"threshold":[165],"each":[167],"category":[169],"distinguish":[172],"model.":[182],"Second,":[183],"enhance":[185],"capacity":[187],"learning,":[190],"(SSMLP)":[195],"designed":[197],"capture":[199],"merely":[203],"series":[206],"fully-connected":[208],"(FC)":[209],"layers,":[210],"which":[211],"mainly":[212],"involve":[213],"SpeFC":[214,231],"SpaFC":[216,222],"two":[217],"modules.":[218],"Among":[219],"them,":[220],"module":[223,232],"spacial":[227],"semantics,":[228],"long-distance":[236],"spectral":[237],"dependence.":[238],"Extensive":[239],"experiments":[240],"three":[242],"benchmark":[243],"HSIs":[244],"show":[245],"SSMLP-RPL":[247],"has":[248],"competitive":[250],"both":[252],"OSE":[256],"even":[258],"surpasses":[259],"currently":[260],"methods.":[267],"As":[268],"end-to-end":[270],"MLP-backbone,":[275],"SSMLP":[276],"compete":[279],"works":[283],"CNN":[286],"transformer.":[288],"code":[290],"will":[291],"be":[292],"at:":[294],"https://github.com/sssssyf/SSMLP-RPL.":[295]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}