{"id":"https://openalex.org/W6921886562","doi":"https://doi.org/10.1109/jstars.2025.3590685","title":"Transformer-Based Diffusion and Spectral Priors Model for Hyperspectral Pansharpening","display_name":"Transformer-Based Diffusion and Spectral Priors Model for Hyperspectral Pansharpening","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W6921886562","doi":"https://doi.org/10.1109/jstars.2025.3590685"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3590685","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3590685","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://doi.org/10.1109/jstars.2025.3590685","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hongcheng Jiang","orcid":"https://orcid.org/0000-0003-4515-7047"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongcheng Jiang","raw_affiliation_strings":["Division of Energy, Matter, and Systems, University of Missouri-Kansas City, Kansas City, MO, USA"],"raw_orcid":"https://orcid.org/0000-0003-4515-7047","affiliations":[{"raw_affiliation_string":"Division of Energy, Matter, and Systems, University of Missouri-Kansas City, Kansas City, MO, USA","institution_ids":["https://openalex.org/I75421653"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhiqiang Chen","orcid":"https://orcid.org/0000-0002-0793-0089"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiqiang Chen","raw_affiliation_strings":["Division of Natural and Built Environment, University of Missouri-Kansas City, Kansas City, MO, USA"],"raw_orcid":"https://orcid.org/0000-0002-0793-0089","affiliations":[{"raw_affiliation_string":"Division of Natural and Built Environment, University of Missouri-Kansas City, Kansas City, MO, USA","institution_ids":["https://openalex.org/I75421653"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.728,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88208282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"18","issue":null,"first_page":"18962","last_page":"18977"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.987500011920929,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.987500011920929,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.006399999838322401,"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":0.0017000000225380063,"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":0.9291999936103821},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.8626000285148621},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6065999865531921},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.49570000171661377},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4805000126361847},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.3928999900817871},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.3919999897480011},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.33719998598098755}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9291999936103821},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.8626000285148621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7402999997138977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6796000003814697},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6065999865531921},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.49570000171661377},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4805000126361847},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.3928999900817871},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.3919999897480011},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.33719998598098755},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33149999380111694},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.29159998893737793},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.27410000562667847},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27059999108314514},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.25360000133514404},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.25290000438690186},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.25200000405311584},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3590685","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3590685","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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:52c40846180543c6a5346b7c93cd4920","is_oa":true,"landing_page_url":"https://doaj.org/article/52c40846180543c6a5346b7c93cd4920","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 18962-18977 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3590685","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3590685","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":[],"awards":[{"id":"https://openalex.org/G6685519678","display_name":null,"funder_award_id":"80NSSC22K0014","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320312822","display_name":"University of Alabama in Huntsville","ror":"https://ror.org/02zsxwr40"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1976447720","https://openalex.org/W1977380830","https://openalex.org/W2000323021","https://openalex.org/W2001800591","https://openalex.org/W2021046129","https://openalex.org/W2023911449","https://openalex.org/W2099345379","https://openalex.org/W2112693869","https://openalex.org/W2113338111","https://openalex.org/W2129471536","https://openalex.org/W2131697388","https://openalex.org/W2149720806","https://openalex.org/W2163677711","https://openalex.org/W2171108951","https://openalex.org/W2172185514","https://openalex.org/W2339428543","https://openalex.org/W2491816944","https://openalex.org/W2619767629","https://openalex.org/W2792142731","https://openalex.org/W2914119571","https://openalex.org/W2948669395","https://openalex.org/W2952004563","https://openalex.org/W2963442801","https://openalex.org/W3019893222","https://openalex.org/W3034264547","https://openalex.org/W3087959468","https://openalex.org/W3155072588","https://openalex.org/W3172472472","https://openalex.org/W3175626522","https://openalex.org/W3181737610","https://openalex.org/W3183280063","https://openalex.org/W3187789630","https://openalex.org/W3202568050","https://openalex.org/W3207486396","https://openalex.org/W3207918547","https://openalex.org/W3212516020","https://openalex.org/W3214821343","https://openalex.org/W3216217554","https://openalex.org/W4212897403","https://openalex.org/W4226068212","https://openalex.org/W4235838711","https://openalex.org/W4285107185","https://openalex.org/W4285605725","https://openalex.org/W4296079303","https://openalex.org/W4320339642","https://openalex.org/W4360884927","https://openalex.org/W4367146812","https://openalex.org/W4385245566","https://openalex.org/W4385627215","https://openalex.org/W4386649074","https://openalex.org/W4387831726","https://openalex.org/W4390480525","https://openalex.org/W4391305871","https://openalex.org/W4392247448","https://openalex.org/W4394938955","https://openalex.org/W4395061052","https://openalex.org/W4401807171","https://openalex.org/W4402259690","https://openalex.org/W4402673274","https://openalex.org/W4402753750","https://openalex.org/W4404722383","https://openalex.org/W4405488461","https://openalex.org/W6684197827","https://openalex.org/W6685078114","https://openalex.org/W6725172435","https://openalex.org/W6765775151","https://openalex.org/W6779823529","https://openalex.org/W6783182287"],"related_works":[],"abstract_inverted_index":{"Hyperspectral":[0],"pansharpening":[1],"aims":[2],"to":[3,16,84],"fuse":[4],"a":[5,11,18,81],"high-resolution":[6,19],"panchromatic":[7],"image":[8,14,21],"(HR-PCI)":[9],"with":[10,40,55],"low-resolution":[12],"hyperspectral":[13,20],"(LR-HSI)":[15],"produce":[17],"(HR-HSI).":[22],"While":[23],"recent":[24],"deep":[25],"learning-based":[26],"methods":[27,122],"have":[28],"achieved":[29],"promising":[30],"results,":[31],"their":[32,45],"reliance":[33],"on":[34,105],"supervised":[35],"learning":[36],"or":[37],"pretrained":[38],"models":[39],"high-quality":[41],"labeled":[42],"datasets":[43,107],"limits":[44],"practicality":[46],"in":[47,123],"real-world":[48,106],"applications.":[49],"We":[50],"propose":[51],"unsupervised":[52,60],"transformer-based":[53],"diffusion":[54,94],"spectral":[56,68,76,97,130],"priors":[57,69,98],"(uTDSP),":[58],"an":[59],"framework":[61],"that":[62,117],"addresses":[63],"these":[64],"limitations":[65],"by":[66],"leveraging":[67],"learned":[70,75],"directly":[71],"from":[72],"LR-HSIs.":[73],"The":[74,136],"prior":[77],"is":[78],"incorporated":[79],"as":[80],"regularization":[82],"term":[83],"guide":[85],"the":[86,90,93],"fusion":[87],"process,":[88],"balancing":[89],"contributions":[91],"of":[92],"model":[95],"and":[96,113,133,141],"for":[99],"accurate":[100],"HR-HSI":[101],"reconstruction.":[102],"Comprehensive":[103],"evaluations":[104],"are":[108],"conducted,":[109],"including":[110],"ablation":[111],"studies":[112],"comparative":[114],"experiments,":[115],"demonstrating":[116],"uTDSP":[118],"consistently":[119],"outperforms":[120],"state-of-the-art":[121],"quantitative":[124],"metrics":[125],"(e.g.,":[126],"peak":[127],"signal-to-noise":[128],"ratio,":[129],"angle":[131],"mapper)":[132],"visual":[134],"quality.":[135],"results":[137],"underscore":[138],"its":[139],"effectiveness":[140],"practical":[142],"applicability.":[143]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
