{"id":"https://openalex.org/W4415229808","doi":"https://doi.org/10.1186/s40323-025-00313-6","title":"Advancing blind hyperspectral unmixing in remote sensing: comparing deep-inspired subspace learning methods","display_name":"Advancing blind hyperspectral unmixing in remote sensing: comparing deep-inspired subspace learning methods","publication_year":2025,"publication_date":"2025-10-15","ids":{"openalex":"https://openalex.org/W4415229808","doi":"https://doi.org/10.1186/s40323-025-00313-6"},"language":"en","primary_location":{"id":"doi:10.1186/s40323-025-00313-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40323-025-00313-6","pdf_url":"https://amses-journal.springeropen.com/counter/pdf/10.1186/s40323-025-00313-6","source":{"id":"https://openalex.org/S3034486266","display_name":"Advanced Modeling and Simulation in Engineering Sciences","issn_l":"2213-7467","issn":["2213-7467"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Modeling and Simulation in Engineering Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://amses-journal.springeropen.com/counter/pdf/10.1186/s40323-025-00313-6","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000822211","display_name":"Gaetano Settembre","orcid":"https://orcid.org/0000-0002-0592-8575"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Gaetano Settembre","raw_affiliation_strings":["Department of Mathematics, University of Bari Aldo Moro, Via E. Orabona, 4, 70125, Bari, Italy"],"raw_orcid":"https://orcid.org/0000-0002-0592-8575","affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Bari Aldo Moro, Via E. Orabona, 4, 70125, Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034033782","display_name":"Flavia Esposito","orcid":"https://orcid.org/0000-0002-2791-9610"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Flavia Esposito","raw_affiliation_strings":["Department of Mathematics, University of Bari Aldo Moro, Via E. Orabona, 4, 70125, Bari, Italy"],"raw_orcid":"https://orcid.org/0000-0002-2791-9610","affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Bari Aldo Moro, Via E. Orabona, 4, 70125, Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005901551","display_name":"Nicoletta Del Buono","orcid":"https://orcid.org/0000-0001-5079-875X"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicoletta Del Buono","raw_affiliation_strings":["Department of Mathematics, University of Bari Aldo Moro, Via E. Orabona, 4, 70125, Bari, Italy"],"raw_orcid":"https://orcid.org/0000-0001-5079-875X","affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Bari Aldo Moro, Via E. Orabona, 4, 70125, Bari, Italy","institution_ids":["https://openalex.org/I5561750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000822211"],"corresponding_institution_ids":["https://openalex.org/I5561750"],"apc_list":{"value":990,"currency":"GBP","value_usd":1214},"apc_paid":{"value":990,"currency":"GBP","value_usd":1214},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40326221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"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":0.9955999851226807,"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":0.9939000010490417,"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":0.9251000285148621},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8676999807357788},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.650600016117096},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6245999932289124},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6195999979972839},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6129999756813049},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4745999872684479},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4596000015735626}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9251000285148621},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8676999807357788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7394999861717224},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.650600016117096},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6245999932289124},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6195999979972839},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6129999756813049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.600600004196167},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4745999872684479},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4596000015735626},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.45649999380111694},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.45179998874664307},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4214000105857849},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3756999969482422},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.3727000057697296},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3564000129699707},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.3264000117778778},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.3255000114440918},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.30559998750686646},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.2842000126838684},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27889999747276306},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2597000002861023}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40323-025-00313-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40323-025-00313-6","pdf_url":"https://amses-journal.springeropen.com/counter/pdf/10.1186/s40323-025-00313-6","source":{"id":"https://openalex.org/S3034486266","display_name":"Advanced Modeling and Simulation in Engineering Sciences","issn_l":"2213-7467","issn":["2213-7467"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Modeling and Simulation in Engineering Sciences","raw_type":"journal-article"},{"id":"pmh:oai:ricerca.uniba.it:11586/549180","is_oa":false,"landing_page_url":"https://hdl.handle.net/11586/549180","pdf_url":null,"source":{"id":"https://openalex.org/S4377196296","display_name":"CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5561750","host_organization_name":"University of Bari Aldo Moro","host_organization_lineage":["https://openalex.org/I5561750"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1186/s40323-025-00313-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40323-025-00313-6","pdf_url":"https://amses-journal.springeropen.com/counter/pdf/10.1186/s40323-025-00313-6","source":{"id":"https://openalex.org/S3034486266","display_name":"Advanced Modeling and Simulation in Engineering Sciences","issn_l":"2213-7467","issn":["2213-7467"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Modeling and Simulation in Engineering Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3582025325","display_name":null,"funder_award_id":"CUP E53C24001950001","funder_id":"https://openalex.org/F4320334079","funder_display_name":"Gruppo Nazionale per il Calcolo Scientifico"},{"id":"https://openalex.org/G5636153502","display_name":null,"funder_award_id":"E53C24001950001","funder_id":"https://openalex.org/F4320334079","funder_display_name":"Gruppo Nazionale per il Calcolo Scientifico"},{"id":"https://openalex.org/G6637445576","display_name":null,"funder_award_id":"H93C23000720001","funder_id":"https://openalex.org/F4320323256","funder_display_name":"Universita degli Studi di Bari Aldo Moro"},{"id":"https://openalex.org/G667663566","display_name":null,"funder_award_id":"91I22000410007","funder_id":"https://openalex.org/F5497039910","funder_display_name":"Ministero dell'Istruzione e del Merito"},{"id":"https://openalex.org/G7103356121","display_name":null,"funder_award_id":"E53C24001950001","funder_id":"https://openalex.org/F4320311030","funder_display_name":"Istituto Nazionale di Alta Matematica \"Francesco Severi\""},{"id":"https://openalex.org/G7744827140","display_name":null,"funder_award_id":"CUP E53C24001950001","funder_id":"https://openalex.org/F4320311030","funder_display_name":"Istituto Nazionale di Alta Matematica \"Francesco Severi\""}],"funders":[{"id":"https://openalex.org/F4320311030","display_name":"Istituto Nazionale di Alta Matematica \"Francesco Severi\"","ror":"https://ror.org/01vx64p53"},{"id":"https://openalex.org/F4320323256","display_name":"Universita degli Studi di Bari Aldo Moro","ror":"https://ror.org/027ynra39"},{"id":"https://openalex.org/F4320334079","display_name":"Gruppo Nazionale per il Calcolo Scientifico","ror":null},{"id":"https://openalex.org/F5497039910","display_name":"Ministero dell'Istruzione e del Merito","ror":"https://ror.org/01ehyh486"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415229808.pdf","grobid_xml":"https://content.openalex.org/works/W4415229808.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W1963659868","https://openalex.org/W1965888395","https://openalex.org/W2029786966","https://openalex.org/W2070424424","https://openalex.org/W2084252873","https://openalex.org/W2087263574","https://openalex.org/W2108433027","https://openalex.org/W2114486983","https://openalex.org/W2120893400","https://openalex.org/W2125298866","https://openalex.org/W2127062304","https://openalex.org/W2142786738","https://openalex.org/W2153335355","https://openalex.org/W2156458885","https://openalex.org/W2157321686","https://openalex.org/W2162842940","https://openalex.org/W2163886442","https://openalex.org/W2206875627","https://openalex.org/W2523237497","https://openalex.org/W2751076613","https://openalex.org/W2755992512","https://openalex.org/W2766640142","https://openalex.org/W2771346875","https://openalex.org/W2782517596","https://openalex.org/W2787204775","https://openalex.org/W2792897399","https://openalex.org/W2799769786","https://openalex.org/W2801764986","https://openalex.org/W2883367876","https://openalex.org/W2893348249","https://openalex.org/W2901677692","https://openalex.org/W2944359217","https://openalex.org/W2961290969","https://openalex.org/W2963371848","https://openalex.org/W2975441847","https://openalex.org/W2975890842","https://openalex.org/W3002092414","https://openalex.org/W3010675358","https://openalex.org/W3016086123","https://openalex.org/W3028000844","https://openalex.org/W3132317653","https://openalex.org/W3196984294","https://openalex.org/W3198137024","https://openalex.org/W3206980649","https://openalex.org/W4206367458","https://openalex.org/W4206620949","https://openalex.org/W4220905352","https://openalex.org/W4233760599","https://openalex.org/W4281395053","https://openalex.org/W4304618485","https://openalex.org/W4312424359","https://openalex.org/W4323647266","https://openalex.org/W4363650848","https://openalex.org/W4382366610","https://openalex.org/W4386043801","https://openalex.org/W4392677642","https://openalex.org/W4393058164","https://openalex.org/W4397001018","https://openalex.org/W4399786157","https://openalex.org/W4402260444","https://openalex.org/W4403914258","https://openalex.org/W4405939947"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Hyperspectral":[1],"imaging":[2],"has":[3],"rapidly":[4],"become":[5],"a":[6,39,52,58,81],"key":[7,123],"technology":[8],"in":[9,95,155,186],"modern":[10],"remote":[11],"sensing,":[12],"enabling":[13],"the":[14,30,92,118,148,170],"acquisition":[15],"of":[16,18,35,54,84,131,150,157,175],"hundreds":[17],"contiguous":[19],"spectral":[20,26,74],"bands":[21],"per":[22],"pixel.":[23],"This":[24,99],"rich":[25],"information":[27],"allows":[28],"for":[29,183],"precise":[31],"identification":[32],"and":[33,70,109,126,141,152,162,173],"characterization":[34],"materials":[36],"even":[37],"at":[38],"sub-pixel":[40],"level.":[41],"However,":[42],"due":[43],"to":[44,67],"limited":[45],"spatial":[46],"resolution,":[47],"each":[48],"pixel":[49],"often":[50],"represents":[51],"mixture":[53],"multiple":[55],"materials.":[56],"As":[57],"result,":[59],"advanced":[60],"hyperspectral":[61],"unmixing":[62],"(HU)":[63],"techniques":[64],"are":[65],"essential":[66],"accurately":[68],"separate":[69],"interpret":[71],"these":[72,176],"mixed":[73],"signatures.":[75],"In":[76],"this":[77],"paper,":[78],"we":[79,146],"present":[80],"comprehensive":[82],"overview":[83],"blind":[85],"HU":[86],"techniques,":[87],"with":[88],"an":[89],"emphasis":[90],"on":[91,112,137],"latest":[93],"advancements":[94],"subspace":[96],"learning":[97],"methods.":[98],"broad":[100],"category":[101],"includes":[102],"both":[103,132],"Deep":[104],"Nonnegative":[105],"Matrix":[106],"Factorization":[107],"(DNMF)":[108],"approaches":[110],"based":[111],"Autoencoder":[113],"(AE).":[114],"Our":[115,165],"analysis":[116],"covers":[117],"underlying":[119],"theoretical":[120],"principles,":[121],"highlights":[122],"architectural":[124],"differences,":[125],"assesses":[127],"practical":[128,181],"implementation":[129],"aspects":[130],"approaches.":[133],"Through":[134],"extensive":[135],"experiments":[136],"various":[138],"benchmark":[139],"datasets":[140],"real-world":[142],"PRISMA":[143],"satellite":[144],"imagery,":[145],"evaluate":[147],"performance":[149],"DNMF":[151],"AE-based":[153],"methods":[154],"terms":[156],"endmember":[158],"extraction,":[159],"abundance":[160],"estimation,":[161],"computational":[163],"cost.":[164],"results":[166],"offer":[167],"insights":[168],"into":[169],"relative":[171],"strengths":[172],"trade-offs":[174],"two":[177],"deep-inspired":[178],"paradigms,":[179],"providing":[180],"guidance":[182],"method":[184],"selection":[185],"hyperspectral-based":[187],"applications.":[188]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-16T00:00:00"}
