{"id":"https://openalex.org/W4415179289","doi":"https://doi.org/10.1109/jstsp.2025.3620709","title":"A Robust Frequency Domain-Generalized Network for Multispectral Pansharpening","display_name":"A Robust Frequency Domain-Generalized Network for Multispectral Pansharpening","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W4415179289","doi":"https://doi.org/10.1109/jstsp.2025.3620709"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2025.3620709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2025.3620709","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","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":null,"display_name":"Shen Xu","orcid":"https://orcid.org/0009-0006-1657-6954"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shen Xu","raw_affiliation_strings":["PCA Laboratory, the Key Laboratory of Intelligent Perception and Systems for High Dimensional Information of Ministry of Education, the Jiangsu Key Laboratory of Image and Video Understanding for Social Security, and the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","PCA Laboratory, the Key Laboratory of Intelligent Perception and Systems for High- Dimensional Information of Ministry of Education, the Jiangsu Key Laboratory of Image and Video Understanding for Social Security, and the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"PCA Laboratory, the Key Laboratory of Intelligent Perception and Systems for High Dimensional Information of Ministry of Education, the Jiangsu Key Laboratory of Image and Video Understanding for Social Security, and the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"PCA Laboratory, the Key Laboratory of Intelligent Perception and Systems for High- Dimensional Information of Ministry of Education, the Jiangsu Key Laboratory of Image and Video Understanding for Social Security, and the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028696487","display_name":"Shengwei Zhong","orcid":"https://orcid.org/0000-0001-8317-728X"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengwei Zhong","raw_affiliation_strings":["PCA Laboratory, the Key Laboratory of Intelligent Perception and Systems for High Dimensional Information of Ministry of Education, the Jiangsu Key Laboratory of Image and Video Understanding for Social Security, and the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","PCA Laboratory, the Key Laboratory of Intelligent Perception and Systems for High- Dimensional Information of Ministry of Education, the Jiangsu Key Laboratory of Image and Video Understanding for Social Security, and the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"PCA Laboratory, the Key Laboratory of Intelligent Perception and Systems for High Dimensional Information of Ministry of Education, the Jiangsu Key Laboratory of Image and Video Understanding for Social Security, and the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"PCA Laboratory, the Key Laboratory of Intelligent Perception and Systems for High- Dimensional Information of Ministry of Education, the Jiangsu Key Laboratory of Image and Video Understanding for Social Security, and the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030222911","display_name":"Chen Gong","orcid":"https://orcid.org/0000-0002-4092-9856"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Gong","raw_affiliation_strings":["PCA Laboratory, the Key Laboratory of Intelligent Perception and Systems for High Dimensional Information of Ministry of Education, the Jiangsu Key Laboratory of Image and Video Understanding for Social Security, and the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","PCA Laboratory, the Key Laboratory of Intelligent Perception and Systems for High- Dimensional Information of Ministry of Education, the Jiangsu Key Laboratory of Image and Video Understanding for Social Security, and the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"PCA Laboratory, the Key Laboratory of Intelligent Perception and Systems for High Dimensional Information of Ministry of Education, the Jiangsu Key Laboratory of Image and Video Understanding for Social Security, and the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"PCA Laboratory, the Key Laboratory of Intelligent Perception and Systems for High- Dimensional Information of Ministry of Education, the Jiangsu Key Laboratory of Image and Video Understanding for Social Security, and the School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200845125","https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27292297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"8","first_page":"1724","last_page":"1738"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9735000133514404,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9728000164031982,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.892300009727478},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.6283000111579895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5371999740600586},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.49470001459121704},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.43130001425743103},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4262999892234802},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.40369999408721924},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.3765000104904175}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.892300009727478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7932999730110168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7232999801635742},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.6283000111579895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5371999740600586},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.49470001459121704},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.43130001425743103},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4262999892234802},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.40369999408721924},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.3765000104904175},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.36390000581741333},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3540000021457672},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.32499998807907104},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C121927907","wikidata":"https://www.wikidata.org/wiki/Q1952516","display_name":"Multiresolution analysis","level":5,"score":0.25600001215934753},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.25440001487731934},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstsp.2025.3620709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2025.3620709","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2339589720","display_name":null,"funder_award_id":"62571246","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3905439695","display_name":null,"funder_award_id":"62101261","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1991460509","https://openalex.org/W2054440797","https://openalex.org/W2114161542","https://openalex.org/W2123046940","https://openalex.org/W2128728535","https://openalex.org/W2132984323","https://openalex.org/W2142843085","https://openalex.org/W2163677711","https://openalex.org/W2164943005","https://openalex.org/W2171108951","https://openalex.org/W2171211028","https://openalex.org/W2172185514","https://openalex.org/W2462592242","https://openalex.org/W2560449954","https://openalex.org/W2616590213","https://openalex.org/W2766278341","https://openalex.org/W2773041763","https://openalex.org/W2777033955","https://openalex.org/W2792142731","https://openalex.org/W2798658180","https://openalex.org/W2962975498","https://openalex.org/W2963043696","https://openalex.org/W3038139892","https://openalex.org/W3094502228","https://openalex.org/W3095799614","https://openalex.org/W3132719670","https://openalex.org/W3133788218","https://openalex.org/W3168631257","https://openalex.org/W3171288715","https://openalex.org/W3207467393","https://openalex.org/W4213052879","https://openalex.org/W4283815286","https://openalex.org/W4288391574","https://openalex.org/W4304013729","https://openalex.org/W4313397386","https://openalex.org/W4318766072","https://openalex.org/W4321033087","https://openalex.org/W4321117021","https://openalex.org/W4322490990","https://openalex.org/W4322706739","https://openalex.org/W4323338626","https://openalex.org/W4379033772","https://openalex.org/W4381735996","https://openalex.org/W4387968212","https://openalex.org/W4387968232","https://openalex.org/W4387969438","https://openalex.org/W4388157208","https://openalex.org/W4388286209","https://openalex.org/W4389428691","https://openalex.org/W4390873230","https://openalex.org/W4391935849","https://openalex.org/W4392909612","https://openalex.org/W4399619732","https://openalex.org/W4399728305","https://openalex.org/W4403420962","https://openalex.org/W4404214611","https://openalex.org/W4406320331","https://openalex.org/W4410115947"],"related_works":[],"abstract_inverted_index":{"Multispectral":[0],"pansharpening":[1,18,69,111,212],"combines":[2],"high-resolution":[3,12],"panchromatic":[4],"images":[5,9],"and":[6,31,52,99,163,166,193,210,220],"low-resolution":[7],"multispectral":[8,13],"to":[10,23,59,75,83,118,189,198],"generate":[11],"images.":[14],"Existing":[15],"deep":[16,37],"learning-based":[17,38],"methods":[19,39,70],"have":[20],"been":[21],"shown":[22],"outperform":[24],"traditional":[25],"ones":[26],"by":[27],"better":[28,119],"preserving":[29],"spatial":[30,158],"spectral":[32,140,168,172],"details.":[33],"However,":[34],"most":[35],"existing":[36],"rely":[40],"heavily":[41],"on":[42,148,207],"large":[43],"amounts":[44],"of":[45,68,78,90,133],"training":[46,82,97,128],"data":[47,61,79],"from":[48,62,81],"a":[49,72,106,178,185],"single":[50],"satellite,":[51],"their":[53],"performance":[54],"deteriorates":[55],"significantly":[56],"when":[57],"applied":[58],"testing":[60,84],"different":[63],"satellites.":[64],"The":[65],"generalization":[66,181],"problem":[67],"is":[71],"challenge":[73],"due":[74],"the":[76,137,152,167,191,200],"shift":[77],"distribution":[80],"data.":[85],"A":[86],"domain-generalized":[87,110],"approach":[88],"capable":[89],"handling":[91],"cross-satellite":[92],"scenarios":[93,213],"would":[94],"greatly":[95],"reduce":[96],"costs":[98],"enhance":[100],"practical":[101],"applicability.":[102],"Thus,":[103],"we":[104,176],"proposed":[105],"novel":[107,179],"robust":[108],"frequency":[109,116],"network":[112,192,201],"(RFDGNet).":[113],"RFDGNet":[114,131],"incorporates":[115],"decomposition":[117],"capture":[120],"domain":[121,180,196],"invariant":[122],"characteristics,":[123],"along":[124],"with":[125],"an":[126],"adversarial":[127,187],"strategy.":[129],"Specifically,":[130],"consists":[132],"three":[134],"specialized":[135],"modules:":[136],"global":[138,150],"dynamic":[139],"extractor,":[141],"which":[142,156,183],"dynamically":[143],"learns":[144],"satellite-specific":[145],"styles":[146],"based":[147],"low-frequency":[149],"information;":[151],"gradient-adaptive":[153],"high-frequency":[154],"enhancer,":[155],"refines":[157],"details":[159],"through":[160],"gradient":[161],"analysis":[162],"wavelet":[164],"decomposition;":[165],"enhancement":[169],"module":[170],"for":[171],"information":[173],"preservation.":[174],"Furthermore,":[175],"design":[177],"strategy,":[182],"includes":[184],"new":[186],"loss":[188],"improve":[190],"employ":[194],"misleading":[195],"labels":[197],"guide":[199],"in":[202,217],"learning":[203],"domain-invariant":[204],"representations.":[205],"Experiments":[206],"both":[208,218],"in-domain":[209],"cross-domain":[211],"show":[214],"significant":[215],"advantages":[216],"accuracy":[219],"generalization.":[221]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-15T00:00:00"}