{"id":"https://openalex.org/W3129260846","doi":"https://doi.org/10.1109/igarss39084.2020.9323316","title":"Remote Sensing Image Super-Resolution via Enhanced Back-Projection Networks","display_name":"Remote Sensing Image Super-Resolution via Enhanced Back-Projection Networks","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3129260846","doi":"https://doi.org/10.1109/igarss39084.2020.9323316","mag":"3129260846"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","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/A5051017507","display_name":"Xiaoyu Dong","orcid":"https://orcid.org/0000-0001-6717-9779"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyu Dong","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022851527","display_name":"Zhihong Xi","orcid":"https://orcid.org/0000-0002-2884-2344"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihong Xi","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111863979","display_name":"Xu Sun","orcid":"https://orcid.org/0000-0001-5389-7251"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Sun","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101949286","display_name":"Lina Yang","orcid":"https://orcid.org/0000-0001-5272-050X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina Yang","raw_affiliation_strings":["Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051017507"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":0.785,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75412615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1480","last_page":"1483"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9987000226974487,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9965999722480774,"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/computer-science","display_name":"Computer science","score":0.7475259304046631},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.703736424446106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7030127048492432},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6968966722488403},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.694366991519928},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6382317543029785},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.49753859639167786},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4560321867465973},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4526918828487396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4279102683067322},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.423380970954895},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3724989593029022},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12263223528862},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11633989214897156},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10908961296081543},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09350964426994324},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.05926167964935303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7475259304046631},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.703736424446106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7030127048492432},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6968966722488403},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.694366991519928},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6382317543029785},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.49753859639167786},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4560321867465973},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4526918828487396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4279102683067322},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.423380970954895},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3724989593029022},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12263223528862},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11633989214897156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10908961296081543},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09350964426994324},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.05926167964935303},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W2476548250","https://openalex.org/W2607041014","https://openalex.org/W2866634454","https://openalex.org/W2963729050","https://openalex.org/W6753074096"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2087343574","https://openalex.org/W2535915176"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1],"network":[2,31,57],"(CNN)-based":[3],"image":[4],"super-resolution":[5],"(SR)":[6],"is":[7,106],"one":[8],"of":[9,14,91,115,135],"the":[10,17,27,34,38,43,62,78,88,92,112,133],"most":[11],"active":[12],"field":[13],"research":[15],"in":[16],"remote":[18,118,125],"sensing":[19,119,126],"community.":[20],"As":[21],"a":[22,124],"state-of-the-art":[23,66],"super-resolving":[24],"method,":[25],"however,":[26],"dense":[28],"deep":[29,97],"back-projection":[30,56],"(DDBPN)":[32],"ignores":[33],"mutual":[35],"differences":[36,80],"among":[37,81],"channel-wise":[39],"features":[40,98],"and":[41,64,83,96,128],"discards":[42],"initial":[44,94],"feature":[45,79,95],"when":[46],"performing":[47],"reconstruction.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"develop":[53],"an":[54],"enhanced":[55],"(EBPN)":[58],"with":[59],"performance":[60,69],"exceeding":[61],"DDBPN":[63],"other":[65],"methods.":[67],"The":[68],"improvement":[70],"gains":[71],"from":[72],"introducing":[73],"attention":[74],"mechanism":[75],"to":[76,109],"capture":[77],"channels":[82],"reconstructing":[84],"images":[85],"by":[86],"using":[87],"element-wise":[89],"sum":[90],"upscaled":[93],"learned":[99],"at":[100],"different":[101],"depths.":[102],"A":[103],"retraining":[104],"strategy":[105],"also":[107],"employed":[108],"further":[110],"boost":[111],"SR":[113],"ability":[114],"EBPN":[116],"for":[117],"images.":[120],"Experimental":[121],"results":[122],"on":[123],"dataset":[127],"four":[129],"benchmark":[130],"datasets":[131],"demonstrate":[132],"superiority":[134],"EBPN.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2025-10-10T00:00:00"}
