{"id":"https://openalex.org/W4293661078","doi":"https://doi.org/10.3390/rs14174224","title":"Double-Stack Aggregation Network Using a Feature-Travel Strategy for Pansharpening","display_name":"Double-Stack Aggregation Network Using a Feature-Travel Strategy for Pansharpening","publication_year":2022,"publication_date":"2022-08-27","ids":{"openalex":"https://openalex.org/W4293661078","doi":"https://doi.org/10.3390/rs14174224"},"language":"en","primary_location":{"id":"doi:10.3390/rs14174224","doi":"https://doi.org/10.3390/rs14174224","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14174224","pdf_url":"https://www.mdpi.com/2072-4292/14/17/4224/pdf?version=1662011048","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/17/4224/pdf?version=1662011048","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058194445","display_name":"Weisheng Li","orcid":"https://orcid.org/0000-0002-9033-8245","observed_orcids":["https://orcid.org/0000-0002-9033-8245"]},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weisheng Li","raw_affiliation_strings":["College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"],"raw_orcid":"https://orcid.org/0000-0002-9033-8245","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100594449","display_name":"Maolin He","orcid":"https://orcid.org/0009-0005-5384-1246","observed_orcids":["https://orcid.org/0009-0005-5384-1246"]},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maolin He","raw_affiliation_strings":["College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057983178","display_name":"Minghao Xiang","orcid":"https://orcid.org/0000-0002-5281-0844","observed_orcids":["https://orcid.org/0000-0002-5281-0844"]},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghao Xiang","raw_affiliation_strings":["College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5058194445"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2618},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2618},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"17","first_page":"4224","last_page":"4224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.00039999998989515007,"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":9.999999747378752e-05,"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/pansharpening","display_name":"pansharpening","score":0.996999979019165},{"id":"https://openalex.org/keywords/multi-scale-feature-aggregation","display_name":"multi-scale feature aggregation","score":0.7929999828338623},{"id":"https://openalex.org/keywords/large-kernel-convolution","display_name":"large kernel convolution","score":0.8550000190734863},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"satellite imagery","score":0.39100000262260437}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8014108538627625},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7266362905502319},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5846841335296631},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5516571998596191},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5431216955184937},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5208088159561157},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4613964259624481},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.44133132696151733},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4338793158531189},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36217641830444336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08356431126594543},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs14174224","doi":"https://doi.org/10.3390/rs14174224","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14174224","pdf_url":"https://www.mdpi.com/2072-4292/14/17/4224/pdf?version=1662011048","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:45b5dd8ac32a4fada3985c843337563b","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/45b5dd8ac32a4fada3985c843337563b","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,"listed_in":[],"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":"Remote Sensing, Vol 14, Iss 17, p 4224 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs14174224","doi":"https://doi.org/10.3390/rs14174224","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14174224","pdf_url":"https://www.mdpi.com/2072-4292/14/17/4224/pdf?version=1662011048","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","jufo-1","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1531283884","display_name":null,"funder_award_id":"cstc2020jcyjzdxmX0025","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G4243917750","display_name":null,"funder_award_id":"2019YFE0110800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4733952077","display_name":"\u9762\u5411\u8111\u75c5\u8f85\u8bca\u7684\u591a\u6a21\u6001\u591a\u5c3a\u5ea6\u533b\u5b66\u56fe\u50cf\u878d\u5408\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61972060","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4883981648","display_name":null,"funder_award_id":"cstc2019cxcyljrc\u2010td0270","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G695691055","display_name":null,"funder_award_id":"cstc2020jcyj","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G7202444375","display_name":null,"funder_award_id":"62027827","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7949456625","display_name":null,"funder_award_id":"cstc2020jcyj","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G801518885","display_name":null,"funder_award_id":"2019YFE0110800","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/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293661078.pdf","grobid_xml":"https://content.openalex.org/works/W4293661078.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W201959546","https://openalex.org/W817971873","https://openalex.org/W1247035941","https://openalex.org/W1885185971","https://openalex.org/W1901129140","https://openalex.org/W1991460509","https://openalex.org/W2001800591","https://openalex.org/W2005156666","https://openalex.org/W2036389990","https://openalex.org/W2064366277","https://openalex.org/W2097117768","https://openalex.org/W2103504761","https://openalex.org/W2112693869","https://openalex.org/W2113338111","https://openalex.org/W2116988482","https://openalex.org/W2119077559","https://openalex.org/W2123046940","https://openalex.org/W2129953395","https://openalex.org/W2133665775","https://openalex.org/W2139529730","https://openalex.org/W2163334907","https://openalex.org/W2163605009","https://openalex.org/W2163677711","https://openalex.org/W2171845746","https://openalex.org/W2194775991","https://openalex.org/W2303172903","https://openalex.org/W2462592242","https://openalex.org/W2531409750","https://openalex.org/W2592939477","https://openalex.org/W2619662254","https://openalex.org/W2777033955","https://openalex.org/W2884585870","https://openalex.org/W2963007295","https://openalex.org/W2963446712","https://openalex.org/W2963610452","https://openalex.org/W2964275574","https://openalex.org/W2986860520","https://openalex.org/W3016256189","https://openalex.org/W3022142302","https://openalex.org/W3027439202","https://openalex.org/W3029812440","https://openalex.org/W3034247386","https://openalex.org/W3096904276","https://openalex.org/W3115223653","https://openalex.org/W3180107394","https://openalex.org/W3187209371","https://openalex.org/W3206049508","https://openalex.org/W4214589454","https://openalex.org/W4226334005"],"related_works":["https://openalex.org/W4285742090","https://openalex.org/W4304140728","https://openalex.org/W4403446316","https://openalex.org/W4402648870","https://openalex.org/W2983594732","https://openalex.org/W4406542887","https://openalex.org/W7134048128","https://openalex.org/W4233139276","https://openalex.org/W4402869984","https://openalex.org/W4288054848"],"abstract_inverted_index":{"Pansharpening":[0],"methods":[1],"based":[2],"on":[3,113,157],"deep":[4,22],"learning":[5,23],"can":[6,59],"obtain":[7],"high-quality,":[8],"high-resolution":[9],"multispectral":[10],"images":[11,127],"and":[12,24,97,172],"are":[13],"gradually":[14],"becoming":[15],"an":[16],"active":[17],"research":[18],"topic.":[19],"To":[20],"combine":[21],"remote":[25],"sensing":[26],"domain":[27],"knowledge":[28],"more":[29],"efficiently,":[30],"we":[31,51,121],"propose":[32,52],"a":[33,38,53,75,105],"double-stack":[34,54],"aggregation":[35,56],"network":[36,45],"using":[37],"feature-travel":[39,106,138],"strategy":[40,107,139],"for":[41],"pansharpening.":[42],"The":[43,72,137],"proposed":[44,164],"comprises":[46],"two":[47],"important":[48],"designs.":[49],"First,":[50],"feature":[55,63,83,100,111,153],"module":[57,73],"that":[58,162],"efficiently":[60],"retain":[61],"useful":[62],"information":[64],"by":[65],"aggregating":[66],"features":[67,143],"extracted":[68,142],"at":[69,128],"different":[70],"levels.":[71],"introduces":[74],"new":[76],"multiscale,":[77],"large-kernel":[78],"convolutional":[79],"block":[80],"in":[81,169],"the":[82,88,94,118,132,135,141,146,151,163],"extraction":[84],"stage":[85],"to":[86,108,134,149,177],"maintain":[87],"overall":[89],"computational":[90],"power":[91],"while":[92],"expanding":[93],"receptive":[95],"field":[96],"obtaining":[98],"detailed":[99],"information.":[101],"We":[102],"also":[103],"introduce":[104],"effectively":[109],"complement":[110],"details":[112],"multiple":[114],"scales.":[115],"By":[116],"resampling":[117],"source":[119,126],"images,":[120],"use":[122],"three":[123,147,158],"pairs":[124],"of":[125],"various":[129],"scales":[130,148],"as":[131],"input":[133],"network.":[136],"lets":[140],"loop":[144],"through":[145],"supplement":[150],"effective":[152],"details.":[154],"Extensive":[155],"experiments":[156],"satellite":[159],"datasets":[160],"show":[161],"model":[165],"achieves":[166],"significant":[167],"improvements":[168],"both":[170],"spatial":[171],"spectral":[173],"quality":[174],"measurements":[175],"compared":[176],"state-of-the-art":[178],"methods.":[179]},"counts_by_year":[],"updated_date":"2026-11-13T13:42:25.865203","created_date":"2022-08-31T00:00:00"}
