{"id":"https://openalex.org/W4404708702","doi":"https://doi.org/10.1109/jstars.2024.3505984","title":"Lightweight Spatial\u2013Spectral Shift Module With Multihead MambaOut for Hyperspectral Image Classification","display_name":"Lightweight Spatial\u2013Spectral Shift Module With Multihead MambaOut for Hyperspectral Image Classification","publication_year":2024,"publication_date":"2024-11-25","ids":{"openalex":"https://openalex.org/W4404708702","doi":"https://doi.org/10.1109/jstars.2024.3505984"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3505984","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3505984","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and 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/10.1109/jstars.2024.3505984","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yi Liu","orcid":"https://orcid.org/0009-0003-5463-4711"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Liu","raw_affiliation_strings":["State Key Laboratory of Dynamic Measurement Techno-logy, North University of China, Yaiyuan, China"],"raw_orcid":"https://orcid.org/0009-0003-5463-4711","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Dynamic Measurement Techno-logy, North University of China, Yaiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yanjun Zhang","orcid":"https://orcid.org/0009-0006-9947-8881"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjun Zhang","raw_affiliation_strings":["State Key Laboratory of Dynamic Measurement Technology, North University of China, Yaiyuan, China"],"raw_orcid":"https://orcid.org/0009-0006-9947-8881","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Dynamic Measurement Technology, North University of China, Yaiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101216247","display_name":"Yu Guo","orcid":"https://orcid.org/0009-0006-9688-3267"},"institutions":[{"id":"https://openalex.org/I4210120144","display_name":"Beijing Jingshida Electromechanical Equipment Research Institute","ror":"https://ror.org/02vx4zx98","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210120144"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Guo","raw_affiliation_strings":["Beijing Electro-mechanical Engineering Institute, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Electro-mechanical Engineering Institute, Beijing, China","institution_ids":["https://openalex.org/I4210120144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074769675","display_name":"Yunchao Li","orcid":"https://orcid.org/0000-0002-5554-7252"},"institutions":[{"id":"https://openalex.org/I3017770710","display_name":"China North Industries Group Corporation (China)","ror":"https://ror.org/00cwdhv97","country_code":"CN","type":"company","lineage":["https://openalex.org/I3017770710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunchao Li","raw_affiliation_strings":["Norinco Group Test and Measuring Academy, Xi&#x0027;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Norinco Group Test and Measuring Academy, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I3017770710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135714990"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.8163,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87568792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"18","issue":null,"first_page":"921","last_page":"934"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9873999953269958,"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":0.9835000038146973,"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":0.90614914894104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6844996809959412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5688948631286621},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5480086207389832},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5339086651802063},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5198826789855957},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.47324854135513306},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.46981245279312134},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3926788568496704},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35416996479034424},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20748087763786316}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.90614914894104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6844996809959412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5688948631286621},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5480086207389832},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5339086651802063},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5198826789855957},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.47324854135513306},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.46981245279312134},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3926788568496704},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35416996479034424},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20748087763786316},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3505984","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3505984","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e3d278e8a8854c84bb51dc554d046655","is_oa":true,"landing_page_url":"https://doaj.org/article/e3d278e8a8854c84bb51dc554d046655","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 921-934 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3505984","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3505984","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4000000059604645,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1966041041","https://openalex.org/W2077942458","https://openalex.org/W2130627644","https://openalex.org/W2194775991","https://openalex.org/W2500751094","https://openalex.org/W2888119354","https://openalex.org/W2914331134","https://openalex.org/W2964015378","https://openalex.org/W2990152177","https://openalex.org/W3003552243","https://openalex.org/W3014740345","https://openalex.org/W3034421924","https://openalex.org/W3094502228","https://openalex.org/W3123961948","https://openalex.org/W3145183637","https://openalex.org/W3214821343","https://openalex.org/W4210794570","https://openalex.org/W4221013072","https://openalex.org/W4225630686","https://openalex.org/W4294068665","https://openalex.org/W4319069095","https://openalex.org/W4323338300","https://openalex.org/W4364323060","https://openalex.org/W4366598231","https://openalex.org/W4378195019","https://openalex.org/W4380451135","https://openalex.org/W4385245566","https://openalex.org/W4387415454","https://openalex.org/W4390872931","https://openalex.org/W4391033652","https://openalex.org/W4391547543","https://openalex.org/W4391796054","https://openalex.org/W4392543505","https://openalex.org/W4392903274","https://openalex.org/W4392939636","https://openalex.org/W4394839020","https://openalex.org/W4396945180","https://openalex.org/W4396967152","https://openalex.org/W4398165531","https://openalex.org/W4398187596","https://openalex.org/W4399241440","https://openalex.org/W4401358048","https://openalex.org/W4402451189","https://openalex.org/W6726873649","https://openalex.org/W6784333009","https://openalex.org/W6810370753","https://openalex.org/W6843259600","https://openalex.org/W6859298233","https://openalex.org/W6863973777","https://openalex.org/W6866741285"],"related_works":["https://openalex.org/W2911259277","https://openalex.org/W2800956885","https://openalex.org/W2533019003","https://openalex.org/W1788560349","https://openalex.org/W2626158795","https://openalex.org/W2078656815","https://openalex.org/W2391021239","https://openalex.org/W2560525382","https://openalex.org/W2126575155","https://openalex.org/W2095129185"],"abstract_inverted_index":{"In":[0],"hyperspectral":[1,163],"images,":[2,164],"the":[3,85,101,105,109,116,120,138,148,167,172],"high":[4],"dimensionality":[5],"of":[6,111,140,150],"spectral":[7,13,29,77,86,97,106,135,143],"data":[8],"often":[9],"leads":[10],"to":[11,18,24,64,71,202],"redundant":[12],"information,":[14,30],"making":[15],"it":[16,146,199],"difficult":[17],"extract":[19,26,76],"features.":[20,144],"Two-dimensional":[21],"CNNs":[22,34],"fail":[23],"effec-tively":[25],"spatial":[27,133,141],"and":[28,31,68,107,129,134,142,160,195],"deploying":[32],"three-dimensional":[33],"on":[35,115,158],"microprocessors":[36,159],"is":[37,200],"challenging":[38],"as":[39],"these":[40],"net-works":[41],"consume":[42],"excessive":[43],"resources.":[44],"If":[45],"graph":[46],"convolutional":[47],"networks":[48,53],"(GCN)":[49],"are":[50],"adopted,":[51],"most":[52],"employ":[54],"superpixel":[55],"segmentation":[56],"for":[57],"HSI":[58],"classification.":[59],"However,":[60],"this":[61],"approach":[62],"tends":[63],"overlook":[65],"pixel-level":[66],"features":[67,78,93],"thus":[69],"fails":[70],"achieve":[72],"fine":[73],"classification.To":[74],"efficiently":[75],"while":[79],"reducing":[80],"resource":[81],"consumption,":[82],"we":[83,118,165],"proposed":[84],"shift":[87,122],"module":[88,91,123],"(SPCSM).":[89],"This":[90],"extracts":[92],"by":[94,170],"circularly":[95],"shifting":[96],"information.":[98,154],"It":[99,127],"emphasizes":[100],"internal":[102],"correlations":[103,131],"within":[104],"offers":[108],"advantage":[110],"fewer":[112],"parameters.":[113],"Based":[114],"SPCSM,":[117],"designed":[119],"spatial\u2013spectral":[121],"(S<sup":[124],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[125,174,181],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>SM).":[126],"models":[128],"analyzes":[130],"between":[132,192],"data,":[136],"facilitating":[137],"extraction":[139],"Additionally,":[145],"addresses":[147],"issues":[149],"redundancy":[151],"in":[152],"shallow":[153],"To":[155],"enable":[156],"deployment":[157],"effectively":[161],"classify":[162],"optimized":[166],"MambaOut":[168,179],"network":[169,187],"integrating":[171],"S<sup":[173],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>SM":[175],"with":[176],"a":[177,189],"multihead":[178],"(LS<sup":[180],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>SM-MHMambaOut).":[182],"Experiments":[183],"demonstrated":[184],"that":[185],"our":[186],"struck":[188],"favorable":[190],"balance":[191],"classification":[193],"accuracy":[194],"model":[196],"complexity.":[197],"Therefore,":[198],"promising":[201],"be":[203],"integrated":[204],"into":[205],"microprocessors.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":6}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2024-11-26T00:00:00"}