{"id":"https://openalex.org/W2497147587","doi":"https://doi.org/10.1109/jstars.2016.2584142","title":"Refined Pan-Sharpening With NSCT and Hierarchical Sparse Autoencoder","display_name":"Refined Pan-Sharpening With NSCT and Hierarchical Sparse Autoencoder","publication_year":2016,"publication_date":"2016-07-27","ids":{"openalex":"https://openalex.org/W2497147587","doi":"https://doi.org/10.1109/jstars.2016.2584142","mag":"2497147587"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2016.2584142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2016.2584142","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":false,"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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101596539","display_name":"Hong Li","orcid":"https://orcid.org/0000-0001-8709-5839"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Li","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453075","display_name":"Fang Liu","orcid":"https://orcid.org/0000-0002-5669-9354"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764373","display_name":"Shuyuan Yang","orcid":"https://orcid.org/0000-0002-4796-5737"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyuan Yang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007544409","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0002-9218-5916"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002735194","display_name":"Xiaomeng Su","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomeng Su","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101596539"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":1.3092,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.84734712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":"12","first_page":"5715","last_page":"5725"},"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":0.9980000257492065,"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":0.9976999759674072,"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/sharpening","display_name":"Sharpening","score":0.8880125880241394},{"id":"https://openalex.org/keywords/contourlet","display_name":"Contourlet","score":0.824805736541748},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.74665367603302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7062143683433533},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6948291063308716},{"id":"https://openalex.org/keywords/panchromatic-film","display_name":"Panchromatic film","score":0.6598601341247559},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6494157910346985},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5609923601150513},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5301260352134705},{"id":"https://openalex.org/keywords/spatial-filter","display_name":"Spatial filter","score":0.41603997349739075},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.21705195307731628},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.11159080266952515}],"concepts":[{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.8880125880241394},{"id":"https://openalex.org/C20479862","wikidata":"https://www.wikidata.org/wiki/Q5165589","display_name":"Contourlet","level":4,"score":0.824805736541748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.74665367603302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7062143683433533},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6948291063308716},{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.6598601341247559},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6494157910346985},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5609923601150513},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5301260352134705},{"id":"https://openalex.org/C121475858","wikidata":"https://www.wikidata.org/wiki/Q2735911","display_name":"Spatial filter","level":2,"score":0.41603997349739075},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.21705195307731628},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.11159080266952515},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2016.2584142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2016.2584142","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":false,"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":null,"license_id":null,"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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2559168354","display_name":null,"funder_award_id":"91438201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2743047296","display_name":null,"funder_award_id":"61573267","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3563266299","display_name":null,"funder_award_id":"61173090","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3696489779","display_name":null,"funder_award_id":"BDY021429","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6352076180","display_name":null,"funder_award_id":"JB140317","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7752695167","display_name":null,"funder_award_id":"91438103","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1553305639","https://openalex.org/W1654063000","https://openalex.org/W1964517309","https://openalex.org/W1983081441","https://openalex.org/W2000323021","https://openalex.org/W2014316959","https://openalex.org/W2015380729","https://openalex.org/W2020442368","https://openalex.org/W2034039863","https://openalex.org/W2036473294","https://openalex.org/W2044394856","https://openalex.org/W2048964123","https://openalex.org/W2055215570","https://openalex.org/W2063918038","https://openalex.org/W2077061503","https://openalex.org/W2088538848","https://openalex.org/W2097130407","https://openalex.org/W2100329651","https://openalex.org/W2105090634","https://openalex.org/W2106002835","https://openalex.org/W2106891293","https://openalex.org/W2108790520","https://openalex.org/W2111924917","https://openalex.org/W2112693869","https://openalex.org/W2117853853","https://openalex.org/W2124952510","https://openalex.org/W2127271355","https://openalex.org/W2129953395","https://openalex.org/W2136530150","https://openalex.org/W2139027584","https://openalex.org/W2144436897","https://openalex.org/W2159269332","https://openalex.org/W2163334907","https://openalex.org/W2163677711","https://openalex.org/W2165329055","https://openalex.org/W2165651437","https://openalex.org/W2171108951","https://openalex.org/W2186273011","https://openalex.org/W2293167795","https://openalex.org/W4285719527","https://openalex.org/W6633088995","https://openalex.org/W6659361493","https://openalex.org/W6684197827"],"related_works":["https://openalex.org/W4254327447","https://openalex.org/W2033186943","https://openalex.org/W2158371478","https://openalex.org/W2816335205","https://openalex.org/W2158027388","https://openalex.org/W2182807969","https://openalex.org/W2084382156","https://openalex.org/W2733652285","https://openalex.org/W2019692878","https://openalex.org/W2084915308"],"abstract_inverted_index":{"Most":[0],"of":[1,22,43,77,183],"available":[2],"pan-sharpening":[3,50],"technologies":[4],"suffer":[5],"from":[6,15],"spectral":[7,117,172],"and":[8,19,38,58,126,142,156,159,173,176,187],"spatial":[9,41,97,104,122,129,174],"distortions,":[10],"for":[11],"the":[12,35,40,78,95,121,128,160,171],"coarse":[13],"extraction":[14],"Panchromatic":[16],"(Pan)":[17],"image":[18,80],"brute":[20],"injection":[21,131],"details":[23,76,102,108,130],"to":[24,33,73,91,115,138],"multispectral":[25],"(MS)":[26],"images.":[27],"In":[28],"this":[29],"paper,":[30],"in":[31,124,169,181],"order":[32],"reduce":[34,136,167],"color":[36],"distortion":[37],"enhance":[39],"information":[42],"fused":[44],"images,":[45],"we":[46],"propose":[47],"a":[48,64],"refined":[49,96,107],"(RPS)":[51],"method":[52],"using":[53],"geometric":[54],"multiscale":[55],"analysis":[56],"(GMA)":[57],"hierarchical":[59],"sparse":[60],"autoencoder":[61],"(HSAE).":[62],"First,":[63],"GMA":[65],"tool,":[66],"nonsubsampled":[67],"contourlet":[68],"transform":[69],"(NSCT),":[70],"is":[71,89],"used":[72],"capture":[74],"directional":[75],"Pan":[79],"at":[81,85],"multiple":[82],"scales.":[83],"Then":[84],"each":[86],"scale,":[87],"HSAE":[88],"developed":[90],"gradually":[92],"filter":[93],"out":[94],"details,":[98],"via":[99,132],"sparsely":[100],"coding":[101],"under":[103],"self-dictionaries.":[105],"The":[106],"are":[109,147],"then":[110],"injected":[111],"into":[112],"MS":[113],"images":[114,125],"alleviate":[116],"distortions.":[118],"By":[119],"exploring":[120],"structure":[123],"refining":[127],"HSAE,":[133],"RPS":[134,165],"can":[135,166],"distortions":[137,168],"present":[139],"fidelity":[140],"colors":[141],"sharp":[143],"appearance.":[144],"Some":[145],"experiments":[146],"taken":[148],"on":[149],"several":[150],"datasets":[151],"collected":[152],"by":[153],"QuickBird,":[154],"Geoeye,":[155],"IKONOS":[157],"satellites,":[158],"experimental":[161],"results":[162,186],"show":[163],"that":[164],"both":[170,184],"domains,":[175],"outperform":[177],"some":[178],"related":[179],"methods":[180],"terms":[182],"visual":[185],"numerical":[188],"guidelines.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}