{"id":"https://openalex.org/W4226097008","doi":"https://doi.org/10.1109/lgrs.2022.3167043","title":"Detail-Injection-Based Multiscale Asymmetric Residual Network for Pansharpening","display_name":"Detail-Injection-Based Multiscale Asymmetric Residual Network for Pansharpening","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4226097008","doi":"https://doi.org/10.1109/lgrs.2022.3167043"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3167043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3167043","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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":"https://openalex.org/A5006226649","display_name":"Wei Huang","orcid":"https://orcid.org/0000-0002-0095-1354"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Huang","raw_affiliation_strings":["School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025696170","display_name":"Ming Ju","orcid":"https://orcid.org/0000-0003-3035-2843"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Ju","raw_affiliation_strings":["School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116644719","display_name":"Qiqiang Chen","orcid":"https://orcid.org/0009-0005-5965-7853"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiqiang Chen","raw_affiliation_strings":["School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108552721","display_name":"Baohua Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baohua Jin","raw_affiliation_strings":["School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078424018","display_name":"Wenjun Song","orcid":"https://orcid.org/0009-0007-6436-2915"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Song","raw_affiliation_strings":["School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006226649"],"corresponding_institution_ids":["https://openalex.org/I23171815"],"apc_list":null,"apc_paid":null,"fwci":0.2202,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5286535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"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":0.9944999814033508,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9933000206947327,"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/residual","display_name":"Residual","score":0.8453651070594788},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7675418853759766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7202831506729126},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6509989500045776},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6509954929351807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6450059413909912},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5624541640281677},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5594616532325745},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4917328655719757},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4867382049560547},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4227392077445984},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3833080530166626},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32554692029953003},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.26018768548965454},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18369773030281067},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.0655633807182312}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8453651070594788},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7675418853759766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7202831506729126},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6509989500045776},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6509954929351807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6450059413909912},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5624541640281677},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5594616532325745},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4917328655719757},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4867382049560547},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4227392077445984},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3833080530166626},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32554692029953003},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26018768548965454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18369773030281067},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0655633807182312},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3167043","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3167043","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7699947468","display_name":null,"funder_award_id":"61971233","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":17,"referenced_works":["https://openalex.org/W2064366277","https://openalex.org/W2154789478","https://openalex.org/W2171211028","https://openalex.org/W2303172903","https://openalex.org/W2462592242","https://openalex.org/W2777033955","https://openalex.org/W2948437909","https://openalex.org/W2963183385","https://openalex.org/W2963695810","https://openalex.org/W2981609437","https://openalex.org/W3014514331","https://openalex.org/W3029812440","https://openalex.org/W3081397212","https://openalex.org/W3096904276","https://openalex.org/W3097824737","https://openalex.org/W3190832245","https://openalex.org/W3202568050"],"related_works":["https://openalex.org/W2956043259","https://openalex.org/W1504288058","https://openalex.org/W3132646223","https://openalex.org/W3044388927","https://openalex.org/W1602981911","https://openalex.org/W3148519004","https://openalex.org/W2929240682","https://openalex.org/W4226097008","https://openalex.org/W2798617638","https://openalex.org/W3206261609"],"abstract_inverted_index":{"Although":[0],"the":[1,36,57,64,78,91,110,114,127,134],"multiresolution":[2],"analysis":[3],"(MRA)-based":[4],"pansharpening":[5,136],"methods":[6,38,55],"are":[7,20,61],"able":[8],"to":[9,22,69,74,94,108],"generate":[10],"high-resolution":[11],"multispectral":[12,79],"(HRMS)":[13],"images":[14],"with":[15,35,53],"good":[16],"spectral":[17],"retention,":[18],"they":[19],"prone":[21],"spatial":[23,72,111],"distortion.":[24],"To":[25],"address":[26],"this":[27,29,131],"problem,":[28],"letter":[30,132],"combines":[31],"deep":[32],"learning":[33],"(DL)":[34],"MRA":[37,54],"and":[39,56,99],"proposes":[40],"a":[41],"novel":[42],"detail-injected-based":[43],"multiscale":[44,65],"asymmetric":[45,84],"residual":[46,66,92],"network.":[47],"The":[48],"difference":[49],"strategy":[50],"is":[51,88,106],"combined":[52],"corresponding":[58],"injection":[59],"coefficients":[60],"obtained":[62],"using":[63],"block":[67,86],"(MSRB)":[68],"effectively":[70],"map":[71],"information":[73,112],"each":[75],"waveband":[76],"of":[77,113],"(MS)":[80],"images.":[81],"In":[82],"addition,":[83],"convolution":[85],"(ACB)":[87],"embedded":[89],"in":[90,130],"network":[93,104],"obtain":[95],"more":[96],"robust":[97],"features,":[98],"an":[100],"inception":[101],"feature":[102],"pyramid":[103],"(FPN)":[105],"designed":[107],"enrich":[109],"fusion":[115],"results":[116,124],"while":[117],"fusing":[118],"features":[119],"at":[120],"different":[121],"levels.":[122],"Experimental":[123],"show":[125],"that":[126],"method":[128],"proposed":[129],"outperforms":[133],"state-of-the-art":[135],"methods.":[137]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}