{"id":"https://openalex.org/W2775714273","doi":"https://doi.org/10.1109/igarss.2017.8127036","title":"Abundance estimation for hyperspectral images based on bilinear mixture models","display_name":"Abundance estimation for hyperspectral images based on bilinear mixture models","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2775714273","doi":"https://doi.org/10.1109/igarss.2017.8127036","mag":"2775714273"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8127036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-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/A5046815454","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0002-9762-0788"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yang","raw_affiliation_strings":["Research Center of Smart Networks and Systems, Fudan University, Shanghai, China","State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Smart Networks and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059575276","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0003-4748-6426"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["Research Center of Smart Networks and Systems, Fudan University, Shanghai, China","State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Smart Networks and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063195768","display_name":"Zongmin Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongmin Wu","raw_affiliation_strings":["School of Mathematical Sciences, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013500741","display_name":"Qiyong Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiyong Lu","raw_affiliation_strings":["Research Center of Smart Networks and Systems, Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center of Smart Networks and Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24932878,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"644","last_page":"647"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.994700014591217,"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":0.9728999733924866,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9195108413696289},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.8741387724876404},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5484094619750977},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.531609296798706},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5143650770187378},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.49363839626312256},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.48285919427871704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45453718304634094},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4390891194343567},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40706315636634827},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40108975768089294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34279024600982666},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.14574912190437317},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.08596441149711609}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9195108413696289},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.8741387724876404},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5484094619750977},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.531609296798706},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5143650770187378},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.49363839626312256},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.48285919427871704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45453718304634094},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4390891194343567},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40706315636634827},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40108975768089294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34279024600982666},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.14574912190437317},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.08596441149711609},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8127036","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1963659868","https://openalex.org/W2011315899","https://openalex.org/W2042626896","https://openalex.org/W2078222544","https://openalex.org/W2088259770","https://openalex.org/W2127062304","https://openalex.org/W2136134691","https://openalex.org/W2157321686","https://openalex.org/W2295820431","https://openalex.org/W2329900769","https://openalex.org/W4233760599"],"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/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440"],"abstract_inverted_index":{"Nonlinear":[0],"spectral":[1,67,73],"unmixing":[2,74,104],"based":[3,21],"on":[4,22,89],"the":[5,23,34,39,48,54,64,80,97],"bilinear":[6,27,36,56],"mixture":[7,28,57],"models":[8,29,58],"has":[9],"received":[10],"much":[11],"attention":[12],"recently.":[13],"In":[14],"this":[15],"paper,":[16],"an":[17,43,84],"abundance":[18],"estimation":[19],"algorithm":[20,75,99],"geometric":[24],"characteristics":[25],"of":[26,42],"is":[30,76],"proposed.":[31],"By":[32],"representing":[33],"models'":[35],"terms":[37],"as":[38],"linear":[40,66,72],"contribution":[41],"extra":[44],"vertex":[45],"that":[46,96],"concentrates":[47],"common":[49],"nonlinear":[50],"mixing":[51],"effect,":[52],"solving":[53],"complex":[55],"can":[59],"be":[60],"converted":[61],"to":[62,78],"doing":[63],"simple":[65],"unmixing.":[68],"Furthermore,":[69],"a":[70],"traditional":[71],"adopted":[77],"estimate":[79],"abundances":[81],"directly":[82],"in":[83,102],"iterative":[85],"way.":[86],"Experimental":[87],"results":[88],"synthetic":[90],"and":[91,106],"real":[92],"hyperspectral":[93],"data":[94],"show":[95],"proposed":[98],"performs":[100],"better":[101],"both":[103],"accuracy":[105],"computational":[107],"speed.":[108]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
