{"id":"https://openalex.org/W4312230251","doi":"https://doi.org/10.1109/igarss46834.2022.9883706","title":"Full-Spectrum Spectral Super-Resolution Method Based on LSMM","display_name":"Full-Spectrum Spectral Super-Resolution Method Based on LSMM","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312230251","doi":"https://doi.org/10.1109/igarss46834.2022.9883706"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883706","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074852280","display_name":"Lingyu Sha","orcid":"https://orcid.org/0000-0003-3358-3671"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyu Sha","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing,China,100094","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454485","display_name":"Wenjuan Zhang","orcid":"https://orcid.org/0000-0002-0534-0974"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjuan Zhang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100661614","display_name":"Jianhang Ma","orcid":"https://orcid.org/0000-0002-1198-3781"},"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":"Jianhang Ma","raw_affiliation_strings":["PLA Strategic Support Force Information Engineering University,Zhengzhou,China,450001"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PLA Strategic Support Force Information Engineering University,Zhengzhou,China,450001","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100681000","display_name":"Zhen Li","orcid":"https://orcid.org/0000-0002-2049-2108"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Li","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing,China,100094"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038746312","display_name":"Ruiqi Sun","orcid":"https://orcid.org/0000-0002-1979-1637"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqi Sun","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing,China,100094","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences,Beijing,China,100094","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100754442","display_name":"Meng Qin","orcid":"https://orcid.org/0000-0003-3036-203X"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Qin","raw_affiliation_strings":["Chang&#x0027;an University,Xi&#x0027;an,China,710064"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chang&#x0027;an University,Xi&#x0027;an,China,710064","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7834,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88223218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2390","last_page":"2393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","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/T11659","display_name":"Advanced Image Fusion Techniques","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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9979000091552734,"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/endmember","display_name":"Endmember","score":0.948935866355896},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9326739311218262},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7523526549339294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5768721103668213},{"id":"https://openalex.org/keywords/spectral-resolution","display_name":"Spectral resolution","score":0.5753468871116638},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.564709484577179},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5563014149665833},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5055878162384033},{"id":"https://openalex.org/keywords/spectral-signature","display_name":"Spectral signature","score":0.4928155243396759},{"id":"https://openalex.org/keywords/spectrum","display_name":"Spectrum (functional analysis)","score":0.4605518877506256},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4539574682712555},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.4379570782184601},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43591395020484924},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.4317898452281952},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.2975165843963623},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16863220930099487},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.166068434715271}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.948935866355896},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9326739311218262},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7523526549339294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5768721103668213},{"id":"https://openalex.org/C124967146","wikidata":"https://www.wikidata.org/wiki/Q3457898","display_name":"Spectral resolution","level":3,"score":0.5753468871116638},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.564709484577179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5563014149665833},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5055878162384033},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.4928155243396759},{"id":"https://openalex.org/C156778621","wikidata":"https://www.wikidata.org/wiki/Q1365748","display_name":"Spectrum (functional analysis)","level":2,"score":0.4605518877506256},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4539574682712555},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.4379570782184601},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43591395020484924},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.4317898452281952},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.2975165843963623},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16863220930099487},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.166068434715271},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9883706","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883706","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2469029062","https://openalex.org/W2755992512","https://openalex.org/W2774093485","https://openalex.org/W2910655660","https://openalex.org/W2952565170","https://openalex.org/W2954661277","https://openalex.org/W2963947695","https://openalex.org/W2970645661","https://openalex.org/W3036200672","https://openalex.org/W3104313739","https://openalex.org/W4233760599","https://openalex.org/W6720339662","https://openalex.org/W6747379203"],"related_works":["https://openalex.org/W4399039556","https://openalex.org/W2039721451","https://openalex.org/W811021892","https://openalex.org/W2086636525","https://openalex.org/W1975272673","https://openalex.org/W2889956472","https://openalex.org/W4380434166","https://openalex.org/W2001720788","https://openalex.org/W4399039444","https://openalex.org/W2090368006"],"abstract_inverted_index":{"Full-spectrum":[0],"remote":[1],"sensing":[2],"images":[3,35,61,65,121],"can":[4,20,57,134],"simultaneously":[5],"provide":[6],"reflectance":[7],"and":[8,30,88,102,118,126,149],"emission":[9],"information":[10,153],"about":[11],"objects,":[12],"which":[13,56,144],"has":[14,145],"great":[15],"application":[16],"value.":[17],"Hyperspectral":[18],"imaging":[19],"record":[21],"hundreds":[22],"of":[23,70,86,138],"spectral":[24,45,81],"bands,":[25],"but":[26],"due":[27],"to":[28,39,105,122],"technical":[29],"space":[31],"limitations,":[32],"full-spectrum":[33,59,77,136],"hyperspectral":[34,60],"(HSI)":[36,62],"are":[37],"difficult":[38],"obtain.":[40],"Recently,":[41],"we":[42,72,97,114],"proposed":[43],"a":[44,146],"super-resolution":[46],"method":[47,133],"based":[48],"on":[49],"the":[50,68,84,91,100,107,124],"Linear":[51],"Spectral":[52],"Mixing":[53],"Model":[54],"(LSMM),":[55],"generate":[58],"from":[63],"multispectral":[64],"(MSI).":[66],"After":[67],"spectral-unmixing":[69],"MSI,":[71],"transform":[73],"MS":[74],"endmembers":[75,79],"into":[76],"HS":[78,103],"by":[80],"library.":[82],"Since":[83],"abundance":[85,101],"MSI":[87],"HSI":[89,137],"with":[90,129],"same":[92],"spatial":[93],"resolution":[94],"is":[95],"consistent,":[96],"linearly":[98],"mixed":[99],"endmember":[104],"obtain":[106],"full":[108],"spectrum":[109],"HSI.":[110],"In":[111],"this":[112],"work,":[113],"use":[115],"Sentinel-2":[116],"dataset":[117],"EO-1":[119],"ALI/Hyperion":[120],"verify":[123],"accuracy":[125,148],"applicability.":[127],"Compared":[128],"other":[130],"works,":[131],"our":[132],"simulate":[135],"large-area":[139],"scenes":[140],"without":[141],"real":[142],"HSI,":[143],"certain":[147],"provides":[150],"more":[151],"comprehensive":[152],"for":[154],"applications.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
