{"id":"https://openalex.org/W4412082372","doi":"https://doi.org/10.1109/jstars.2025.3586437","title":"Progressive Conditional Diffusion Model for Multistage Spectral Restoration of Remote Sensing Image","display_name":"Progressive Conditional Diffusion Model for Multistage Spectral Restoration of Remote Sensing Image","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412082372","doi":"https://doi.org/10.1109/jstars.2025.3586437"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3586437","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3586437","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.2025.3586437","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jinfeng Gao","orcid":"https://orcid.org/0009-0007-8887-5416"},"institutions":[{"id":"https://openalex.org/I4210131125","display_name":"Huanghuai University","ror":"https://ror.org/02k92ks68","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfeng Gao","raw_affiliation_strings":["Henan Provincial Key Laboratory of Smart Lighting, College of Computer and Artificial Intelligence, Huanghuai University, Zhumadian, China"],"raw_orcid":"https://orcid.org/0009-0007-8887-5416","affiliations":[{"raw_affiliation_string":"Henan Provincial Key Laboratory of Smart Lighting, College of Computer and Artificial Intelligence, Huanghuai University, Zhumadian, China","institution_ids":["https://openalex.org/I4210131125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101629781","display_name":"Gangqiang Li","orcid":"https://orcid.org/0000-0002-7363-1060"},"institutions":[{"id":"https://openalex.org/I4210131125","display_name":"Huanghuai University","ror":"https://ror.org/02k92ks68","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangqiang Li","raw_affiliation_strings":["Henan Provincial Key Laboratory of Smart Lighting, College of Computer and Artificial Intelligence, Huanghuai University, Zhumadian, China"],"raw_orcid":"https://orcid.org/0000-0002-7363-1060","affiliations":[{"raw_affiliation_string":"Henan Provincial Key Laboratory of Smart Lighting, College of Computer and Artificial Intelligence, Huanghuai University, Zhumadian, China","institution_ids":["https://openalex.org/I4210131125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060654806","display_name":"Ruxian Yao","orcid":"https://orcid.org/0000-0002-1314-528X"},"institutions":[{"id":"https://openalex.org/I4210131125","display_name":"Huanghuai University","ror":"https://ror.org/02k92ks68","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruxian Yao","raw_affiliation_strings":["Henan Provincial Key Laboratory of Smart Lighting, College of Computer and Artificial Intelligence, Huanghuai University, Zhumadian, China"],"raw_orcid":"https://orcid.org/0000-0002-1314-528X","affiliations":[{"raw_affiliation_string":"Henan Provincial Key Laboratory of Smart Lighting, College of Computer and Artificial Intelligence, Huanghuai University, Zhumadian, China","institution_ids":["https://openalex.org/I4210131125"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qiang Liu","orcid":"https://orcid.org/0000-0002-9966-7803"},"institutions":[{"id":"https://openalex.org/I4210131125","display_name":"Huanghuai University","ror":"https://ror.org/02k92ks68","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Liu","raw_affiliation_strings":["Henan Provincial Key Laboratory of Smart Lighting, College of Computer and Artificial Intelligence, Huanghuai University, Zhumadian, China"],"raw_orcid":"https://orcid.org/0000-0002-9966-7803","affiliations":[{"raw_affiliation_string":"Henan Provincial Key Laboratory of Smart Lighting, College of Computer and Artificial Intelligence, Huanghuai University, Zhumadian, China","institution_ids":["https://openalex.org/I4210131125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050874994","display_name":"Junming Zhang","orcid":"https://orcid.org/0000-0003-1836-3478"},"institutions":[{"id":"https://openalex.org/I4210131125","display_name":"Huanghuai University","ror":"https://ror.org/02k92ks68","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junming Zhang","raw_affiliation_strings":["Henan Provincial Key Laboratory of Smart Lighting, College of Computer and Artificial Intelligence, Huanghuai University, Zhumadian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Provincial Key Laboratory of Smart Lighting, College of Computer and Artificial Intelligence, Huanghuai University, Zhumadian, China","institution_ids":["https://openalex.org/I4210131125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210131125"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.5311,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83366721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"18","issue":null,"first_page":"18330","last_page":"18344"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9725000262260437,"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":0.9717000126838684,"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/computer-science","display_name":"Computer science","score":0.6103777289390564},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5348803997039795},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.48936980962753296},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.48906999826431274},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4533923268318176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45000720024108887},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42206376791000366},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3532603979110718},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3248339295387268},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21720939874649048},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09211057424545288}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6103777289390564},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5348803997039795},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.48936980962753296},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.48906999826431274},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4533923268318176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45000720024108887},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42206376791000366},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3532603979110718},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3248339295387268},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21720939874649048},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09211057424545288},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3586437","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3586437","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:069e999e8e424284bfc226369f7b78ec","is_oa":true,"landing_page_url":"https://doaj.org/article/069e999e8e424284bfc226369f7b78ec","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 18330-18344 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3586437","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3586437","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G5186185279","display_name":null,"funder_award_id":"242300420189","funder_id":"https://openalex.org/F4320322866","funder_display_name":"Natural Science Foundation of Hainan Province"}],"funders":[{"id":"https://openalex.org/F4320322866","display_name":"Natural Science Foundation of Hainan Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W8423413","https://openalex.org/W2134829604","https://openalex.org/W2139709933","https://openalex.org/W2520430674","https://openalex.org/W2524214095","https://openalex.org/W2753685993","https://openalex.org/W2766101120","https://openalex.org/W2766419681","https://openalex.org/W2768203249","https://openalex.org/W2776639132","https://openalex.org/W2807593488","https://openalex.org/W2848020186","https://openalex.org/W2895667927","https://openalex.org/W2963505747","https://openalex.org/W2987250212","https://openalex.org/W3018221629","https://openalex.org/W3130282602","https://openalex.org/W3188607452","https://openalex.org/W3210739020","https://openalex.org/W4225166176","https://openalex.org/W4312923819","https://openalex.org/W4313591171","https://openalex.org/W4319336416","https://openalex.org/W4320002835","https://openalex.org/W4366753174","https://openalex.org/W4380680724","https://openalex.org/W4380906088","https://openalex.org/W4381886277","https://openalex.org/W4385289414","https://openalex.org/W4386424895","https://openalex.org/W4386784430","https://openalex.org/W4388129204","https://openalex.org/W4390873054","https://openalex.org/W4392239028","https://openalex.org/W4392824986","https://openalex.org/W4396769343","https://openalex.org/W4401943624","https://openalex.org/W4403123264","https://openalex.org/W4404657262","https://openalex.org/W6747024431","https://openalex.org/W6775740815"],"related_works":["https://openalex.org/W2329386257","https://openalex.org/W2503350049","https://openalex.org/W2397616145","https://openalex.org/W2397320258","https://openalex.org/W4412054803","https://openalex.org/W4324058133","https://openalex.org/W648618910","https://openalex.org/W2974904990","https://openalex.org/W2365681766","https://openalex.org/W2393963626"],"abstract_inverted_index":{"Due":[0],"to":[1,16,69,114,194],"the":[2,18,27,56,60,63,74,117,121,127,131,143,150,154,162,174,177,190,196],"high":[3],"cost":[4],"and":[5,23,108,204,217],"relatively":[6],"low":[7],"image":[8,111,119,156,164],"quality":[9],"of":[10,29,49,59,153],"hyperspectral":[11,24,32,213],"sensors,":[12],"spectral":[13,45,71,91,166],"super-resolution":[14],"seeks":[15],"explore":[17],"mapping":[19],"mechanisms":[20],"between":[21],"multispectral":[22,163,170],"images,":[25,214],"with":[26,161,173],"goal":[28],"reconstructing":[30],"high-quality":[31],"images.":[33,76],"In":[34],"recent":[35],"years,":[36],"deep":[37],"learning":[38],"algorithms":[39],"have":[40],"achieved":[41],"significant":[42],"success":[43],"in":[44,73,120],"super-resolution.":[46],"However,":[47],"most":[48],"these":[50,79],"methods":[51],"compute":[52],"loss":[53],"only":[54],"at":[55],"final":[57,197],"stage":[58,123],"network,":[61],"neglecting":[62],"intermediate":[64],"generative":[65],"processes,":[66],"which":[67,186],"leads":[68],"considerable":[70],"distortion":[72],"reconstructed":[75],"To":[77],"address":[78],"issues,":[80],"we":[81],"propose":[82],"a":[83,95,101,183],"Progressive":[84],"Conditional":[85],"Diffusion":[86],"Model":[87],"(PCDM)":[88],"for":[89,165],"multi-stage":[90],"restoration.":[92],"PCDM":[93,209],"constructs":[94],"channel":[96],"synthesis":[97],"module":[98,113,158],"that":[99,116,208],"generates":[100],"ground":[102],"truth":[103],"set":[104],"through":[105],"band":[106],"synthesis,":[107],"designs":[109],"an":[110],"reconstruction":[112,157],"ensure":[115],"synthesized":[118,128],"next":[122,191],"can":[124,210],"effectively":[125,211],"reconstruct":[126,212],"features":[129],"from":[130,176],"previous":[132,178],"stage.":[133],"Multiple":[134],"conditional":[135,147,184],"diffusion":[136,148,179,192],"models":[137],"are":[138,159],"then":[139],"constructed":[140],"based":[141],"on":[142,201],"dataset.":[144],"For":[145],"each":[146],"model,":[149,180],"network":[151],"parameters":[152],"corresponding":[155],"shared":[160],"up-sampling.":[167],"The":[168],"spectral-up-sampled":[169],"features,":[171],"combined":[172],"output":[175],"serve":[181],"as":[182],"matrix,":[185],"is":[187],"input":[188],"into":[189],"model":[193],"obtain":[195],"result.":[198],"Experimental":[199],"results":[200],"both":[202],"synthetic":[203],"real":[205],"datasets":[206],"demonstrate":[207],"showing":[215],"robustness":[216],"outperforming":[218],"state-of-the-art":[219],"methods.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}