{"id":"https://openalex.org/W4392061586","doi":"https://doi.org/10.1109/jstars.2024.3368286","title":"Pixel-to-Abundance Translation: Conditional Generative Adversarial Networks Based on Patch Transformer for Hyperspectral Unmixing","display_name":"Pixel-to-Abundance Translation: Conditional Generative Adversarial Networks Based on Patch Transformer for Hyperspectral Unmixing","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392061586","doi":"https://doi.org/10.1109/jstars.2024.3368286"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3368286","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3368286","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10443607.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10443607.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102951175","display_name":"Li Wang","orcid":"https://orcid.org/0000-0003-4052-4258"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445822","display_name":"Xiaohua Zhang","orcid":"https://orcid.org/0009-0007-6783-4586"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393296","display_name":"Jinhua Zhang","orcid":"https://orcid.org/0009-0005-2347-8677"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhua Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101567715","display_name":"Hua Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Dong","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062573283","display_name":"Hongyun Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyun Meng","raw_affiliation_strings":["School of Mathematics and Statistics, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102951175"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":4.1273,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.94312335,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"17","issue":null,"first_page":"5734","last_page":"5749"},"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":0.9991999864578247,"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":0.9940000176429749,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9260520935058594},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6831393837928772},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.6674639582633972},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6602750420570374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6537953019142151},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5976994037628174},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5137739777565002},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.475078284740448}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9260520935058594},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6831393837928772},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.6674639582633972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6602750420570374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6537953019142151},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5976994037628174},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5137739777565002},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.475078284740448}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3368286","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3368286","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10443607.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:49930f6920b14dbdb75a860531fb4689","is_oa":true,"landing_page_url":"https://doaj.org/article/49930f6920b14dbdb75a860531fb4689","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5734-5749 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3368286","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3368286","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/10443607.pdf","source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G7886416700","display_name":null,"funder_award_id":"61877066","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392061586.pdf","grobid_xml":"https://content.openalex.org/works/W4392061586.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W1537281681","https://openalex.org/W1755724306","https://openalex.org/W1964570608","https://openalex.org/W1976391658","https://openalex.org/W1992367803","https://openalex.org/W2005818237","https://openalex.org/W2008233110","https://openalex.org/W2009576740","https://openalex.org/W2058532290","https://openalex.org/W2063069198","https://openalex.org/W2087263574","https://openalex.org/W2088259770","https://openalex.org/W2097073572","https://openalex.org/W2114486983","https://openalex.org/W2118246710","https://openalex.org/W2125389028","https://openalex.org/W2127062304","https://openalex.org/W2157321686","https://openalex.org/W2160558851","https://openalex.org/W2163886442","https://openalex.org/W2298992465","https://openalex.org/W2315521504","https://openalex.org/W2344025572","https://openalex.org/W2422278448","https://openalex.org/W2553303224","https://openalex.org/W2593414223","https://openalex.org/W2604977491","https://openalex.org/W2789300734","https://openalex.org/W2792897399","https://openalex.org/W2886042776","https://openalex.org/W2896057526","https://openalex.org/W2910655660","https://openalex.org/W2921511952","https://openalex.org/W2950689937","https://openalex.org/W2953961450","https://openalex.org/W2963073614","https://openalex.org/W2963091558","https://openalex.org/W2973563492","https://openalex.org/W2997574889","https://openalex.org/W2998394745","https://openalex.org/W3005148902","https://openalex.org/W3010675358","https://openalex.org/W3015126059","https://openalex.org/W3041330594","https://openalex.org/W3043084891","https://openalex.org/W3094502228","https://openalex.org/W3095858594","https://openalex.org/W3101195009","https://openalex.org/W3122463936","https://openalex.org/W3137989115","https://openalex.org/W3151666947","https://openalex.org/W3170878188","https://openalex.org/W3189122062","https://openalex.org/W3205965083","https://openalex.org/W3207947687","https://openalex.org/W4233760599","https://openalex.org/W4379984088","https://openalex.org/W4385245566","https://openalex.org/W4388685310","https://openalex.org/W4389542636","https://openalex.org/W6678815747","https://openalex.org/W6681096077","https://openalex.org/W6729956949","https://openalex.org/W6784333009","https://openalex.org/W6791776128","https://openalex.org/W6857839881"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W3106536224","https://openalex.org/W2051769241","https://openalex.org/W2563324120","https://openalex.org/W2040756827","https://openalex.org/W2315521504","https://openalex.org/W2773863718"],"abstract_inverted_index":{"Spectral":[0],"unmixing":[1,11,59,67,185],"is":[2,90,122],"a":[3,48,57,77,93,96,177,190,206],"significant":[4],"challenge":[5],"in":[6,30,176],"hyperspectral":[7,49,106,144,225],"image":[8,145],"processing.":[9],"Existing":[10],"methods":[12],"utilize":[13],"prior":[14,33],"knowledge":[15,34],"about":[16],"the":[17,22,27,37,63,66,98,101,110,116,120,127,135,138,150,154,163,168,173,184,212],"abundance":[18,72,111,133],"distribution":[19,128],"to":[20,71,109,124,161,180,201,209,231],"solve":[21,43],"regularization":[23,39],"optimization":[24,40,182],"problem,":[25],"where":[26],"difficulty":[28],"lies":[29],"choosing":[31],"appropriate":[32],"and":[35,95,119,129,171,198,223],"solving":[36],"complex":[38],"problem.":[41],"To":[42],"these":[44],"problems,":[45],"we":[46,142,188],"propose":[47,143,189],"conditional":[50],"generative":[51],"adversarial":[52],"network":[53],"(HyperGAN)":[54],"method":[55,193],"as":[56,76,137,149],"generic":[58],"framework":[60],"based":[61,194],"on":[62,195,220],"following":[64],"assumption:":[65],"process":[68],"from":[69,104],"pixel":[70,107,118],"can":[73],"be":[74],"regarded":[75],"transformation":[78],"of":[79,92,112,115,131,153,167,183,214],"two":[80],"modalities":[81],"with":[82,205],"an":[83],"internal":[84,164],"specific":[85],"relationship.":[86],"The":[87],"proposed":[88],"HyperGAN":[89],"composed":[91],"generator":[94],"discriminator,":[97],"former":[99],"completes":[100],"modal":[102],"conversion":[103],"mixed":[105],"patch":[108,170],"corresponding":[113],"endmember":[114],"central":[117],"latter":[121],"used":[123],"distinguish":[125],"whether":[126],"structure":[130,208],"generated":[132],"are":[134],"same":[136],"true":[139],"ones.":[140],"Additionally,":[141],"(HSI)":[146],"Patch":[147],"Transformer":[148],"main":[151],"component":[152],"generator,":[155],"which":[156],"utilizes":[157],"adaptive":[158],"attention":[159],"score":[160],"capture":[162],"pixels":[165],"correlation":[166],"HSI":[169],"leverages":[172],"spatial-spectral":[174],"information":[175],"fine-grained":[178],"way":[179],"achieve":[181,227],"process.":[186],"Furthermore,":[187],"data":[191,204,222,226],"synthesis":[192],"superpixel":[196],"segmentation":[197],"random":[199],"split":[200],"get":[202],"synthetic":[203,221],"spatial":[207],"further":[210],"evaluate":[211],"effectiveness":[213],"our":[215],"model":[216],"for":[217],"unmixing.":[218],"Experiments":[219],"real":[224],"impressive":[228],"results":[229],"compared":[230],"state-of-the-art":[232],"competitors.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}