{"id":"https://openalex.org/W3163345304","doi":"https://doi.org/10.1109/icassp39728.2021.9414701","title":"Skip Attention GAN for Remote Sensing Image Synthesis","display_name":"Skip Attention GAN for Remote Sensing Image Synthesis","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3163345304","doi":"https://doi.org/10.1109/icassp39728.2021.9414701","mag":"3163345304"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5055332125","display_name":"Kai Deng","orcid":"https://orcid.org/0000-0003-2937-8931"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kai Deng","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences","University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101428663","display_name":"Kun Zhang","orcid":"https://orcid.org/0000-0003-1636-5373"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Zhang","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences","University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110421748","display_name":"Ping Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Yao","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences","University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101863815","display_name":"Siyuan Cheng","orcid":"https://orcid.org/0000-0002-4044-2757"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Cheng","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences","University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100725392","display_name":"Peng He","orcid":"https://orcid.org/0000-0003-0606-8762"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng He","raw_affiliation_strings":["Institute of Computing Technology, Chinese Academy of Sciences","University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055332125"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.1921,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46887255,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2305","last_page":"2309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9986000061035156,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9986000061035156,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9986000061035156,"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":0.9983999729156494,"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":0.8235952854156494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6479994654655457},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6190818548202515},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.49872756004333496},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4910004436969757},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.48357149958610535},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4467943012714386},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.435586154460907},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.41269540786743164},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4106757342815399},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.395550012588501},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.35386157035827637}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8235952854156494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6479994654655457},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6190818548202515},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.49872756004333496},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4910004436969757},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.48357149958610535},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4467943012714386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.435586154460907},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.41269540786743164},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4106757342815399},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.395550012588501},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35386157035827637},{"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},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414701","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.49000000953674316}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1836465849","https://openalex.org/W1980038761","https://openalex.org/W1998557720","https://openalex.org/W2013969115","https://openalex.org/W2030038151","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2737047298","https://openalex.org/W2762941833","https://openalex.org/W2785678896","https://openalex.org/W2787928077","https://openalex.org/W2804078698","https://openalex.org/W2884805522","https://openalex.org/W2890833618","https://openalex.org/W2927933146","https://openalex.org/W2962879692","https://openalex.org/W2963470893","https://openalex.org/W2963684088","https://openalex.org/W2963836885","https://openalex.org/W2963981733","https://openalex.org/W2964121744","https://openalex.org/W2964271895","https://openalex.org/W2974373385","https://openalex.org/W2987380585","https://openalex.org/W3036479037","https://openalex.org/W4232708900","https://openalex.org/W4295521014","https://openalex.org/W4301206121","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6638667902","https://openalex.org/W6645519200","https://openalex.org/W6649832925","https://openalex.org/W6678815747","https://openalex.org/W6685352114","https://openalex.org/W6735913928","https://openalex.org/W6748582592","https://openalex.org/W6748733227","https://openalex.org/W6752378368","https://openalex.org/W6753904365","https://openalex.org/W6765779288"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W2256933480","https://openalex.org/W2370081953","https://openalex.org/W2027854990","https://openalex.org/W2364428742","https://openalex.org/W2085397571"],"abstract_inverted_index":{"High-quality":[0],"remote":[1,97,123],"sensing":[2,98,124],"images":[3,44,99],"are":[4,33,93],"difficult":[5],"to":[6,9,42,57],"obtain":[7],"due":[8],"limited":[10],"conditions":[11],"and":[12,24,49,72,78,139],"high":[13],"cost":[14],"for":[15,95,121],"data":[16],"acquisition.":[17],"With":[18,85],"the":[19,75,114],"development":[20],"of":[21,142],"machine":[22],"vision":[23],"deep":[25],"learning,":[26],"some":[27],"image":[28,125],"generation":[29],"methods":[30,134],"(e.g.,":[31],"GANs)":[32],"introduced":[34],"into":[35],"this":[36,60,86,106],"field,":[37],"but":[38],"it&#x2019;s":[39],"still":[40],"hard":[41],"generate":[43],"with":[45,59,81,100],"good":[46],"texture":[47],"details":[48],"structural":[50,102,152],"dependencies.":[51],"We":[52,104],"establish":[53],"Skip":[54,109,147],"Attention":[55,110,148],"Mechanism":[56],"deal":[58],"problem,":[61],"which":[62,112],"learns":[63],"dependencies":[64,89,153],"between":[65,154],"local":[66],"points":[67],"on":[68],"low-resolution":[69,92],"feature":[70,83],"maps,":[71],"then":[73],"upsample":[74],"attention":[76,119,143],"map":[77],"combine":[79],"it":[80],"high-resolution":[82],"maps.":[84],"method,":[87],"long-range":[88],"learned":[90,150],"from":[91],"used":[94],"generating":[96],"more":[101],"details.":[103],"name":[105],"method":[107,116,131],"as":[108],"GAN,":[111],"is":[113],"first":[115],"applying":[117],"cross-scale":[118],"mechanism":[120],"unsupervised":[122],"generation.":[126],"Experiments":[127],"show":[128,145],"that":[129,146],"our":[130],"outperforms":[132],"previous":[133],"under":[135],"several":[136],"metrics.":[137],"Visual":[138],"ablation":[140],"results":[141],"layers":[144],"has":[149],"long-distance":[151],"similar":[155],"targets.":[156]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
