{"id":"https://openalex.org/W3205148564","doi":"https://doi.org/10.1109/tgrs.2021.3098745","title":"Hyperspectral Unmixing for Additive Nonlinear Models With a 3-D-CNN Autoencoder Network","display_name":"Hyperspectral Unmixing for Additive Nonlinear Models With a 3-D-CNN Autoencoder Network","publication_year":2021,"publication_date":"2021-08-02","ids":{"openalex":"https://openalex.org/W3205148564","doi":"https://doi.org/10.1109/tgrs.2021.3098745","mag":"3205148564"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3098745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3098745","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/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":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, 710072, China, ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, 710072, China, ,","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103175728","display_name":"Mou Wang","orcid":"https://orcid.org/0000-0002-6476-2501"},"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":"Mou Wang","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, 710072, China, ,"],"raw_orcid":"https://orcid.org/0000-0002-6476-2501","affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, 710072, China, ,","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","[School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an 710072, China. (e-mail: dr.jie.chen@ieee.org)]"],"raw_orcid":"https://orcid.org/0000-0003-2306-8860","affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"[School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an 710072, China. (e-mail: dr.jie.chen@ieee.org)]","institution_ids":["https://openalex.org/I17145004"]}]},{"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/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":"Susanto Rahardja","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, 710072, China, ,"],"raw_orcid":"https://orcid.org/0000-0003-0831-6934","affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, 710072, China, ,","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":6.2288,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.96972092,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"15"},"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":0.9962999820709229,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8734722137451172},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8682142496109009},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.7721142768859863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6175943613052368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5834546089172363},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5340989828109741},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5202656984329224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5011947154998779},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48304206132888794},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.44790786504745483}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8734722137451172},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8682142496109009},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.7721142768859863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6175943613052368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5834546089172363},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5340989828109741},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5202656984329224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5011947154998779},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48304206132888794},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.44790786504745483},{"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2021.3098745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3098745","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5133417063","display_name":null,"funder_award_id":"2018AAA0102200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7520581741","display_name":null,"funder_award_id":"B18041","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"}],"funders":[{"id":"https://openalex.org/F4320321392","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1902016676","https://openalex.org/W1957094454","https://openalex.org/W1963659868","https://openalex.org/W2005818237","https://openalex.org/W2011315899","https://openalex.org/W2019274094","https://openalex.org/W2029316659","https://openalex.org/W2060629443","https://openalex.org/W2070424424","https://openalex.org/W2071249186","https://openalex.org/W2078222544","https://openalex.org/W2081867871","https://openalex.org/W2088259770","https://openalex.org/W2090424610","https://openalex.org/W2114486983","https://openalex.org/W2127827417","https://openalex.org/W2141494774","https://openalex.org/W2163886442","https://openalex.org/W2555818261","https://openalex.org/W2755992512","https://openalex.org/W2765455392","https://openalex.org/W2774270599","https://openalex.org/W2774528199","https://openalex.org/W2789300734","https://openalex.org/W2792897399","https://openalex.org/W2886042776","https://openalex.org/W2894115892","https://openalex.org/W2910655660","https://openalex.org/W2911419410","https://openalex.org/W2911999741","https://openalex.org/W2913942978","https://openalex.org/W2921511952","https://openalex.org/W2932657337","https://openalex.org/W2942765877","https://openalex.org/W2963371848","https://openalex.org/W2963982292","https://openalex.org/W2999446243","https://openalex.org/W3005148902","https://openalex.org/W3028000844","https://openalex.org/W3100234884","https://openalex.org/W3101012758","https://openalex.org/W3122463936","https://openalex.org/W4233760599","https://openalex.org/W4240485910","https://openalex.org/W6761985274"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W2072166414","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W3209970181","https://openalex.org/W2076134148"],"abstract_inverted_index":{"Spectral":[0],"unmixing":[1,33,68,98],"is":[2,131,144],"an":[3,94,113],"important":[4],"task":[5],"in":[6,27,38,47],"hyperspectral":[7,39,152],"image":[8,40],"processing":[9],"for":[10,86],"separating":[11],"the":[12,24,49,77,148,162],"mixed":[13],"spectral":[14,32,97],"data":[15,160],"pertaining":[16],"to":[17,134,146],"various":[18],"materials":[19],"observed":[20,28],"aiming":[21],"at":[22],"analyzing":[23],"material":[25],"components":[26],"pixels.":[29],"Recently,":[30],"nonlinear":[31,64,67,96,115],"has":[34,126],"received":[35],"particular":[36],"attention":[37],"processing,":[41],"as":[42],"there":[43],"are":[44,70],"many":[45],"situations":[46],"which":[48,125],"linear":[50,109],"mixture":[51,110,116],"model":[52,104],"may":[53],"not":[54],"be":[55,59,81],"appropriate":[56],"and":[57,79,112,158,164],"could":[58],"advantageously":[60],"replaced":[61],"by":[62],"a":[63,102,108,121,127,139],"one.":[65],"Existing":[66],"approaches":[69],"often":[71],"based":[72],"on":[73,76],"specific":[74],"assumptions":[75],"nonlinearity":[78],"can":[80],"less":[82],"effective":[83],"when":[84],"used":[85,145],"scenes":[87],"with":[88,156,170],"unknown":[89],"nonlinearity.":[90],"This":[91],"article":[92],"presents":[93],"unsupervised":[95],"method":[99],"that":[100,105],"addresses":[101],"general":[103],"consists":[106],"of":[107,120,166],"part":[111],"additive":[114],"part.":[117],"The":[118],"structure":[119],"deep":[122],"autoencoder":[123],"network,":[124],"clear":[128],"physical":[129],"interpretation,":[130],"specifically":[132],"designed":[133],"achieve":[135],"this":[136,167],"purpose.":[137],"Moreover,":[138],"convolutional":[140],"neural":[141],"network":[142],"(CNN)":[143],"capture":[147],"spectral-spatial":[149],"priors":[150],"from":[151],"data.":[153],"Extensive":[154],"experiments":[155],"synthetic":[157],"real":[159],"illustrate":[161],"generality":[163],"effectiveness":[165],"scheme":[168],"compared":[169],"state-of-the-art":[171],"methods.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-10-25T00:00:00"}
