{"id":"https://openalex.org/W4322490806","doi":"https://doi.org/10.1109/msp.2022.3208987","title":"Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods","display_name":"Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods","publication_year":2023,"publication_date":"2023-02-27","ids":{"openalex":"https://openalex.org/W4322490806","doi":"https://doi.org/10.1109/msp.2022.3208987"},"language":"en","primary_location":{"id":"doi:10.1109/msp.2022.3208987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2022.3208987","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"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 Signal Processing Magazine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04242474","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100333004","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0003-2306-8860"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]},{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I4210111179","display_name":"Michigan United","ror":"https://ror.org/0291ys696","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210111179"]}],"countries":["CN","FR","US"],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["University of Nice Sophia Antipolis, France","School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China","University of Michigan, United States"],"raw_orcid":"https://orcid.org/0000-0003-2306-8860","affiliations":[{"raw_affiliation_string":"University of Nice Sophia Antipolis, France","institution_ids":["https://openalex.org/I201841394"]},{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"University of Michigan, United States","institution_ids":["https://openalex.org/I27837315","https://openalex.org/I4210111179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100769200","display_name":"Min Zhao","orcid":"https://orcid.org/0000-0003-3258-8358"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhao","raw_affiliation_strings":["Northwestern Polytechnical University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-3258-8358","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063539992","display_name":"Xiuheng Wang","orcid":"https://orcid.org/0000-0002-0115-5034"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiuheng Wang","raw_affiliation_strings":["Universit&#x00E9; C&#x00F4;te d&#x2019;Azur, Nice, France"],"raw_orcid":"https://orcid.org/0000-0002-0115-5034","affiliations":[{"raw_affiliation_string":"Universit&#x00E9; C&#x00F4;te d&#x2019;Azur, Nice, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009808175","display_name":"C\u00e9dric Richard","orcid":"https://orcid.org/0000-0003-2890-141X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C\u00e9dric Richard","raw_affiliation_strings":["Universit&#x00E9; C&#x00F4;te d&#x2019;Azur, Nice, France"],"raw_orcid":"https://orcid.org/0000-0003-2890-141X","affiliations":[{"raw_affiliation_string":"Universit&#x00E9; C&#x00F4;te d&#x2019;Azur, Nice, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054558832","display_name":"Susanto Rahardja","orcid":"https://orcid.org/0000-0003-0831-6934"},"institutions":[{"id":"https://openalex.org/I168639165","display_name":"Singapore Institute of Technology","ror":"https://ror.org/01v2c2791","country_code":"SG","type":"education","lineage":["https://openalex.org/I168639165"]},{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN","SG"],"is_corresponding":false,"raw_author_name":"Susanto Rahardja","raw_affiliation_strings":["Northwestern Polytechnical University, Xi&#x2019;an, China","Singapore Institute of Technology, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-0831-6934","affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Singapore Institute of Technology, Singapore","institution_ids":["https://openalex.org/I168639165"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.3103,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.98126665,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"40","issue":"2","first_page":"61","last_page":"74"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9965000152587891,"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":0.9886000156402588,"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/interpretability","display_name":"Interpretability","score":0.8673689961433411},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8246471881866455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7376021146774292},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6501258611679077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5712472200393677},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5285680890083313},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5083271861076355},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4721149206161499},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4186941385269165},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32541313767433167},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.084888756275177}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8673689961433411},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8246471881866455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7376021146774292},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6501258611679077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5712472200393677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5285680890083313},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5083271861076355},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4721149206161499},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4186941385269165},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32541313767433167},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.084888756275177},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/msp.2022.3208987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2022.3208987","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"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 Signal Processing Magazine","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04242474v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04242474","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Signal Processing Magazine, 2023, 40 (2), pp.61-74. &#x27E8;10.1109/MSP.2022.3208987&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04242474v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04242474","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Signal Processing Magazine, 2023, 40 (2), pp.61-74. &#x27E8;10.1109/MSP.2022.3208987&#x27E9;","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2113015678","display_name":"3IA C\u00f4te d'Azur","funder_award_id":"ANR-19-P3IA-0002","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G5122840443","display_name":null,"funder_award_id":"62192713","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6093635115","display_name":null,"funder_award_id":"62171380","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6114354157","display_name":null,"funder_award_id":"JCYJ20220530161606014","funder_id":"https://openalex.org/F4320333998","funder_display_name":"Shenzhen Research Institute, City University of Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320333998","display_name":"Shenzhen Research Institute, City University of Hong Kong","ror":"https://ror.org/00xc0ma20"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W972216811","https://openalex.org/W1963659868","https://openalex.org/W1971520148","https://openalex.org/W2003896345","https://openalex.org/W2005818237","https://openalex.org/W2042626896","https://openalex.org/W2060629443","https://openalex.org/W2101837437","https://openalex.org/W2127062304","https://openalex.org/W2782517596","https://openalex.org/W2792897399","https://openalex.org/W2894115892","https://openalex.org/W2911419410","https://openalex.org/W2913942978","https://openalex.org/W2920024832","https://openalex.org/W2921511952","https://openalex.org/W2932657337","https://openalex.org/W2963371848","https://openalex.org/W3002092414","https://openalex.org/W3005148902","https://openalex.org/W3028000844","https://openalex.org/W3048051136","https://openalex.org/W3100234884","https://openalex.org/W3110749113","https://openalex.org/W3112538150","https://openalex.org/W3118755085","https://openalex.org/W3122463936","https://openalex.org/W3131601043","https://openalex.org/W3137191419","https://openalex.org/W3151666947","https://openalex.org/W3154556605","https://openalex.org/W3154628895","https://openalex.org/W3161263451","https://openalex.org/W3168931281","https://openalex.org/W3170878188","https://openalex.org/W3179951827","https://openalex.org/W3192188223","https://openalex.org/W3204957802","https://openalex.org/W3205148564","https://openalex.org/W4206155389","https://openalex.org/W4206259850","https://openalex.org/W4206620949","https://openalex.org/W4211249244","https://openalex.org/W4214854488"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4247136043","https://openalex.org/W4312407344"],"abstract_inverted_index":{"Spectral":[0],"unmixing":[1,88],"is":[2],"central":[3],"when":[4,37],"analyzing":[5,38],"hyperspectral":[6],"data.":[7],"To":[8,98],"accomplish":[9],"this":[10,123,133],"task,":[11],"physics-based":[12,117],"methods":[13,47,57,82,152],"have":[14,63,109],"become":[15],"popular":[16],"because,":[17],"with":[18,41],"their":[19,32,71],"explicit":[20],"mixing":[21],"models,":[22],"they":[23],"can":[24],"provide":[25],"a":[26,154],"clear":[27],"interpretation.":[28],"Nevertheless,":[29],"because":[30],"of":[31,103,115,129,161,165],"limited":[33],"modeling":[34,75],"capabilities,":[35],"especially":[36],"real":[39],"scenes":[40],"unknown":[42],"complex":[43,76],"physical":[44],"properties,":[45],"these":[46,81,151,166],"may":[48,89],"not":[49],"be":[50],"accurate.":[51],"On":[52],"the":[53,101,113],"other":[54],"hand,":[55],"data-driven":[56,120],"using":[58],"deep":[59,139],"learning":[60],"in":[61,66,74],"particular":[62],"developed":[64],"rapidly":[65],"recent":[67,106,130],"years,":[68],"thanks":[69],"to":[70,86,91],"superior":[72],"capability":[73],"nonlinear":[77],"systems.":[78],"Simply":[79],"transferring":[80],"as":[83],"black":[84],"boxes":[85],"perform":[87],"lead":[90],"low":[92],"interpretability":[93],"and":[94,119,146,158],"poor":[95],"generalization":[96],"ability.":[97],"bring":[99],"together":[100],"best":[102],"two":[104],"worlds,":[105],"research":[107],"efforts":[108],"focused":[110],"on":[111,132],"combining":[112],"advantages":[114],"both":[116],"models":[118],"methods.":[121,167],"In":[122],"article,":[124],"we":[125],"present":[126],"an":[127],"overview":[128],"advances":[131],"topic":[134],"from":[135],"various":[136],"perspectives,":[137],"including":[138],"neural":[140],"network":[141],"(DNN)":[142],"design,":[143],"prior":[144],"capturing,":[145],"loss":[147],"selection.":[148],"We":[149],"summarize":[150],"within":[153],"common":[155],"optimization":[156],"framework":[157],"discuss":[159],"ways":[160],"enhancing":[162],"our":[163],"understanding":[164],"The":[168],"related":[169],"source":[170],"codes":[171],"are":[172],"made":[173],"publicly":[174],"available":[175],"at":[176],"<uri":[177],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[178],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">http://github.com/xiuheng-wang/awesome-hyperspectral-image-unmixing</uri>":[179],".":[180]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":14}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2023-02-28T00:00:00"}
