{"id":"https://openalex.org/W4392428997","doi":"https://doi.org/10.37188/ope.20243204.0578","title":"Hyperspectral unmixing with shared endmember variability in homogeneous region","display_name":"Hyperspectral unmixing with shared endmember variability in homogeneous region","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392428997","doi":"https://doi.org/10.37188/ope.20243204.0578"},"language":"en","primary_location":{"id":"doi:10.37188/ope.20243204.0578","doi":"https://doi.org/10.37188/ope.20243204.0578","is_oa":true,"landing_page_url":"http://dx.doi.org/10.37188/ope.20243204.0578","pdf_url":"https://ope.lightpublishing.cn/rc-pub/front/front-article/download/49723914/lowqualitypdf/\u540c\u8d28\u533a\u5171\u4eab\u7aef\u5143\u53d8\u5f02\u6027\u7684\u9ad8\u5149\u8c31\u6df7\u5408\u50cf\u5143\u5206\u89e3.pdf","source":{"id":"https://openalex.org/S4210232476","display_name":"Optics and Precision Engineering","issn_l":"1004-924X","issn":["1004-924X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-70","russia-white-list-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Optics and Precision Engineering","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ope.lightpublishing.cn/rc-pub/front/front-article/download/49723914/lowqualitypdf/\u540c\u8d28\u533a\u5171\u4eab\u7aef\u5143\u53d8\u5f02\u6027\u7684\u9ad8\u5149\u8c31\u6df7\u5408\u50cf\u5143\u5206\u89e3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100744108","display_name":"Ning Wang","orcid":"https://orcid.org/0000-0002-8801-6255","observed_orcids":["https://orcid.org/0000-0002-8801-6255","https://orcid.org/0009-0003-0919-7655"]},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning WANG","raw_affiliation_strings":[". School of Computer Science and Engineering \uff0c North Minzu University\uff0c Yinchuan 750021\uff0c China\uff1b"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":". School of Computer Science and Engineering \uff0c North Minzu University\uff0c Yinchuan 750021\uff0c China\uff1b","institution_ids":["https://openalex.org/I3019309368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046538842","display_name":"Wenxing Bao","orcid":"https://orcid.org/0000-0002-0267-5824","observed_orcids":["https://orcid.org/0000-0002-0267-5824","https://orcid.org/0000-0002-1636-1797"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenxing BAO","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076778682","display_name":"Kewen Qu","orcid":"https://orcid.org/0000-0001-5532-4107","observed_orcids":["https://orcid.org/0000-0001-5532-4107"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kewen QU","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Wei FENG","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei FENG","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"4","first_page":"578","last_page":"594"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9955999851226807,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9955999851226807,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.0008999999845400453,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.0003000000142492354,"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/hyperspectral-unmixing","display_name":"hyperspectral unmixing","score":0.9639999866485596},{"id":"https://openalex.org/keywords/scale-factor","display_name":"scale factor","score":0.6510000228881836},{"id":"https://openalex.org/keywords/superpixel-segmentation","display_name":"superpixel segmentation","score":0.7990000247955322},{"id":"https://openalex.org/keywords/abundance-estimation","display_name":"abundance estimation","score":0.6430000066757202},{"id":"https://openalex.org/keywords/cuprite","display_name":"cuprite","score":0.9990000128746033}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9372775554656982},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8273565769195557},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.8237100839614868},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4945933520793915},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.428295761346817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38311105966567993},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37834692001342773},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34668514132499695},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3378657102584839},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2535043954849243},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.04982748627662659}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.37188/ope.20243204.0578","doi":"https://doi.org/10.37188/ope.20243204.0578","is_oa":true,"landing_page_url":"http://dx.doi.org/10.37188/ope.20243204.0578","pdf_url":"https://ope.lightpublishing.cn/rc-pub/front/front-article/download/49723914/lowqualitypdf/\u540c\u8d28\u533a\u5171\u4eab\u7aef\u5143\u53d8\u5f02\u6027\u7684\u9ad8\u5149\u8c31\u6df7\u5408\u50cf\u5143\u5206\u89e3.pdf","source":{"id":"https://openalex.org/S4210232476","display_name":"Optics and Precision Engineering","issn_l":"1004-924X","issn":["1004-924X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-70","russia-white-list-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Optics and Precision Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.37188/ope.20243204.0578","doi":"https://doi.org/10.37188/ope.20243204.0578","is_oa":true,"landing_page_url":"http://dx.doi.org/10.37188/ope.20243204.0578","pdf_url":"https://ope.lightpublishing.cn/rc-pub/front/front-article/download/49723914/lowqualitypdf/\u540c\u8d28\u533a\u5171\u4eab\u7aef\u5143\u53d8\u5f02\u6027\u7684\u9ad8\u5149\u8c31\u6df7\u5408\u50cf\u5143\u5206\u89e3.pdf","source":{"id":"https://openalex.org/S4210232476","display_name":"Optics and Precision Engineering","issn_l":"1004-924X","issn":["1004-924X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["poland-70","russia-white-list-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Optics and Precision Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392428997.pdf","grobid_xml":"https://content.openalex.org/works/W4392428997.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1524571335","https://openalex.org/W4319993469","https://openalex.org/W3040709204","https://openalex.org/W4387445418","https://openalex.org/W2056921400","https://openalex.org/W2513923277","https://openalex.org/W2198507501","https://openalex.org/W2921805329","https://openalex.org/W2906878431","https://openalex.org/W3032636923"],"abstract_inverted_index":{"\u7531\u4e8e\u4e0d\u540c\u7684\u7167\u660e\u6761\u4ef6\u3001\u590d\u6742\u7684\u5927\u6c14\u73af\u5883\u7b49\u56e0\u7d20\uff0c\u76f8\u540c\u7aef\u5143\u7684\u5149\u8c31\u7279\u5f81\u5728\u56fe\u50cf\u7684\u4e0d\u540c\u4f4d\u7f6e\u5448\u73b0\u51fa\u53ef\u89c1\u7684\u5dee\u5f02\uff0c\u8fd9\u79cd\u73b0\u8c61\u88ab\u79f0\u4e3a\u7aef\u5143\u7684\u5149\u8c31\u53d8\u5f02\u6027\u3002\u5728\u76f8\u5f53\u5927\u7684\u573a\u666f\u4e2d\uff0c\u7aef\u5143\u7684\u53d8\u5f02\u6027\u53ef\u80fd\u5f88\u5927\uff0c\u4f46\u5728\u9002\u5ea6\u7684\u5c40\u90e8\u540c\u8d28\u533a\u5185\uff0c\u53d8\u5f02\u6027\u5f80\u5f80\u5f88\u5c0f\u3002\u6270\u52a8\u7ebf\u6027\u6df7\u5408\u6a21\u578b\uff08Perturbed":[0],"Linear":[1,8],"Mixing":[2,9],"Model\uff0cPLMM\uff09\u5728\u89e3\u6df7\u7684\u8fc7\u7a0b\u4e2d\u53ef\u4ee5\u51cf\u8f7b\u7aef\u5143\u53d8\u5f02\u6027\u9020\u6210\u7684\u4e0d\u5229\u5f71\u54cd\uff0c\u4f46\u662f\u5bf9\u7f29\u653e\u6548\u5e94\u9020\u6210\u7684\u53d8\u5f02\u6027\u7684\u5904\u7406\u80fd\u529b\u8f83\u5f31\u3002\u4e3a\u6b64\uff0c\u672c\u6587\u6539\u8fdb\u4e86\u6270\u52a8\u7ebf\u6027\u6df7\u5408\u6a21\u578b\uff0c\u5f15\u5165\u4e86\u5c3a\u5ea6\u56e0\u5b50\u4ee5\u5904\u7406\u7f29\u653e\u6548\u5e94\u9020\u6210\u7684\u53d8\u5f02\u6027\uff0c\u5e76\u7ed3\u5408\u8d85\u50cf\u7d20\u5206\u5272\u7b97\u6cd5\u5212\u5206\u5c40\u90e8\u540c\u8d28\u533a\uff0c\u7136\u540e\u8bbe\u8ba1\u51fa\u57fa\u4e8e\u5c40\u90e8\u540c\u8d28\u533a\u5171\u4eab\u7aef\u5143\u53d8\u5f02\u6027\u7684\u89e3\u6df7\u7b97\u6cd5\uff08Shared":[3],"Endmember":[4],"Variability":[5],"in":[6],"Unmixing\uff0cSEVU\uff09\u3002\u4e0e\u6270\u52a8\u7ebf\u6027\u6df7\u5408\u6a21\u578b\uff0c\u6269\u5c55\u7ebf\u6027\u6df7\u5408\u6a21\u578b\uff08Extended":[7],"Model\uff0cELMM\uff09\u7b49\u7b97\u6cd5\u76f8\u6bd4\uff0c\u6240\u63d0SEVU\u7b97\u6cd5\u5728\u5408\u6210\u6570\u636e\u96c6\u4e0a\u5e73\u5747\u7aef\u5143\u5149\u8c31\u89d2\u8ddd\u79bb\uff08mean":[10],"Spectral":[11],"Angle":[12],"Distance\uff0c":[13],"mSAD\uff09\u548c\u4e30\u5ea6\u5747\u65b9\u6839\u8bef\u5dee\uff08abundance":[14],"Root":[15],"Mean":[16],"Square":[17],"Error\uff0c":[18],"aRMSE\uff09\u6700\u4f18\uff0c\u5206\u522b\u4e3a0.085":[19],"5\u548c0.056":[20],"2\uff1b\u5728Jasper":[21],"Ridge\u548cCuprite\u771f\u5b9e\u6570\u636e\u96c6\u4e0amSAD\u662f\u6700\u4f18\u7684\uff0c\u5206\u522b\u4e3a0.060":[22],"3\u548c0.100":[23],"3\u3002\u5728\u5408\u6210\u6570\u636e\u96c6\u548c\u4e24\u4e2a\u5b9e\u6d4b\u6570\u636e\u96c6\u4e0a\u7684\u5b9e\u9a8c\u7ed3\u679c\u9a8c\u8bc1\u4e86SEVU\u7b97\u6cd5\u7684\u6709\u6548\u6027\u3002":[24]},"counts_by_year":[],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2024-03-05T00:00:00"}