{"id":"https://openalex.org/W2782611718","doi":"https://doi.org/10.1109/ispacs.2017.8266485","title":"Hyperspectral and multispectral image fusion using dual-source localized dictionary pair","display_name":"Hyperspectral and multispectral image fusion using dual-source localized dictionary pair","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2782611718","doi":"https://doi.org/10.1109/ispacs.2017.8266485","mag":"2782611718"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs.2017.8266485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2017.8266485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","raw_type":"proceedings-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/A5113837731","display_name":"J\u00fcping Liang","orcid":null},"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":true,"raw_author_name":"Juping Liang","raw_affiliation_strings":["Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376972","display_name":"Yifan Zhang","orcid":"https://orcid.org/0000-0003-4533-3880"},"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":"Yifan Zhang","raw_affiliation_strings":["Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067207818","display_name":"Shaohui Mei","orcid":"https://orcid.org/0000-0002-8018-596X"},"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":"Shaohui Mei","raw_affiliation_strings":["Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Shaanxi Key Laboratory of Information Acquisition and Processing, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5113837731"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.4708,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72636692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"261","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","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/T11659","display_name":"Advanced Image Fusion Techniques","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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987999796867371,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9886999726295471,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.8896317481994629},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7639105916023254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7524752616882324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7178476452827454},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6996986865997314},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6809343099594116},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5731427669525146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5668871998786926},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5149379372596741},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5066455006599426},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4712924063205719},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.45703282952308655},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4462316930294037},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.43635040521621704},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4213169813156128},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2257319986820221},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07777157425880432}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8896317481994629},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7639105916023254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7524752616882324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7178476452827454},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6996986865997314},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6809343099594116},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5731427669525146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5668871998786926},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5149379372596741},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5066455006599426},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4712924063205719},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.45703282952308655},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4462316930294037},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.43635040521621704},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4213169813156128},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2257319986820221},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07777157425880432},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispacs.2017.8266485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2017.8266485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1973234061","https://openalex.org/W1990231296","https://openalex.org/W2039191759","https://openalex.org/W2075621901","https://openalex.org/W2078125016","https://openalex.org/W2786665602","https://openalex.org/W3016867217"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W4318664220","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W1987483041"],"abstract_inverted_index":{"Hyperpsectral":[0],"image":[1,16],"(HSI)":[2],"provides":[3],"abundant":[4],"and":[5,47,73,85,123],"detailed":[6],"spectral":[7],"information":[8,60],"with":[9,18,109],"limited":[10],"spatial":[11,20,32,71,78],"resolution.":[12],"When":[13],"a":[14,44,67,74,93],"multispectral":[15],"(MSI)":[17],"higher":[19],"resolution":[21,33,72],"of":[22,99],"the":[23,90,100,104],"same":[24],"observed":[25],"scene":[26],"is":[27,54,80,96,107],"available,":[28],"this":[29,42],"limitation":[30],"on":[31,69,76],"can":[34],"be":[35],"handled":[36],"by":[37],"applying":[38],"fusion":[39,49,125],"techniques.":[40],"In":[41],"work,":[43],"novel":[45],"HSI":[46,84,122],"MSI":[48,124],"approach":[50],"using":[51,82,111],"dictionary-based":[52],"reconstruction":[53],"proposed.":[55],"To":[56],"incorporate":[57],"more":[58],"effective":[59],"for":[61],"fusion,":[62],"dual-source":[63],"dictionary":[64,68,75,110],"pair":[65],"including":[66],"low":[70],"high":[77],"resolution,":[79],"constructed":[81],"both":[83],"MSI.":[86],"Furthermore,":[87],"to":[88],"reduce":[89],"calculation":[91],"cost,":[92],"localized":[94],"strategy":[95],"applied":[97],"instead":[98],"global":[101],"one.":[102],"Finally,":[103],"fused":[105],"result":[106],"reconstructed":[108],"collaborative":[112],"representation.":[113],"Simulative":[114],"experiments":[115],"illustrate":[116],"its":[117],"outperformance":[118],"over":[119],"some":[120],"state-of-the-art":[121],"approaches.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}