{"id":"https://openalex.org/W4313417914","doi":"https://doi.org/10.1109/jstars.2022.3227509","title":"DARN: Distance Attention Residual Network for Lightweight Remote-Sensing Image Superresolution","display_name":"DARN: Distance Attention Residual Network for Lightweight Remote-Sensing Image Superresolution","publication_year":2022,"publication_date":"2022-12-08","ids":{"openalex":"https://openalex.org/W4313417914","doi":"https://doi.org/10.1109/jstars.2022.3227509"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2022.3227509","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3227509","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":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2022.3227509","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081489546","display_name":"Sen Wang","orcid":"https://orcid.org/0000-0002-8132-5899"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingjian Wang","raw_affiliation_strings":["Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-8132-5899","affiliations":[{"raw_affiliation_string":"Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063341389","display_name":"Sen Wang","orcid":"https://orcid.org/0000-0003-1259-8030"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Wang","raw_affiliation_strings":["Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0003-1259-8030","affiliations":[{"raw_affiliation_string":"Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060337892","display_name":"Mingfang Chen","orcid":"https://orcid.org/0000-0002-3323-8168"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingfang Chen","raw_affiliation_strings":["Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-3323-8168","affiliations":[{"raw_affiliation_string":"Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089532612","display_name":"Yang Zhu","orcid":"https://orcid.org/0000-0001-5493-3250"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhu","raw_affiliation_strings":["Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0001-5493-3250","affiliations":[{"raw_affiliation_string":"Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.6479,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.66626047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"16","issue":null,"first_page":"714","last_page":"724"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9952999949455261,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8396399021148682},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.8122005462646484},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5750085115432739},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5686041116714478},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5293102264404297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49833202362060547},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44391870498657227},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4276649057865143},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32385456562042236},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06716516613960266}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8396399021148682},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8122005462646484},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5750085115432739},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5686041116714478},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5293102264404297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49833202362060547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44391870498657227},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4276649057865143},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32385456562042236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06716516613960266},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2022.3227509","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3227509","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":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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"},{"id":"pmh:oai:doaj.org/article:eb0c3eb721b643bc8367590beb1aefb9","is_oa":true,"landing_page_url":"https://doaj.org/article/eb0c3eb721b643bc8367590beb1aefb9","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,"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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 714-724 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2022.3227509","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3227509","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":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6448755057","display_name":"\u673a\u68b0\u632f\u52a8\u56fe\u50cf\u8d85\u5206\u8fa8\u7387\u76ee\u6807\u8bc6\u522b\u4e0e\u591a\u70b9\u52a8\u6001\u4f4d\u79fb\u76f8\u5173\u6027\u6d4b\u91cf\u7814\u7a76","funder_award_id":"52065035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6531734825","display_name":"\u81ea\u9002\u5e94\u5f0f\u5bbd\u9891\u57df\u5927\u529f\u7387\u4e09\u7ef4\u8d85\u58f0\u9a71\u52a8\u7cfb\u7edf\u4e2d\u5173\u952e\u95ee\u9898\u7684\u7814\u7a76","funder_award_id":"51965029","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":44,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W566555209","https://openalex.org/W1791560514","https://openalex.org/W1930824406","https://openalex.org/W2047920195","https://openalex.org/W2121927366","https://openalex.org/W2192954843","https://openalex.org/W2214802144","https://openalex.org/W2242218935","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2607041014","https://openalex.org/W2621121458","https://openalex.org/W2739757502","https://openalex.org/W2747898905","https://openalex.org/W2780544323","https://openalex.org/W2795024892","https://openalex.org/W2866634454","https://openalex.org/W2954930822","https://openalex.org/W2963372104","https://openalex.org/W2963446712","https://openalex.org/W2963645458","https://openalex.org/W2964101377","https://openalex.org/W2964125708","https://openalex.org/W2976718572","https://openalex.org/W3010250471","https://openalex.org/W3025071142","https://openalex.org/W3034247386","https://openalex.org/W3043692043","https://openalex.org/W3101659800","https://openalex.org/W3133531783","https://openalex.org/W3138516171","https://openalex.org/W3163026652","https://openalex.org/W3164705069","https://openalex.org/W3175063288","https://openalex.org/W3200851318","https://openalex.org/W3207918547","https://openalex.org/W4206433182","https://openalex.org/W4226219071","https://openalex.org/W4226291728","https://openalex.org/W4280581786","https://openalex.org/W4285411567","https://openalex.org/W4386083034","https://openalex.org/W6785306386"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W2990636717"],"abstract_inverted_index":{"The":[0,66,89],"application":[1],"of":[2,10,76,92,110,131,141,174,198],"single-image":[3],"superresolution":[4],"(SISR)":[5],"in":[6,37,144,172,196],"remote":[7,39,154,192],"sensing":[8,40,155,193],"is":[9],"great":[11],"significance.":[12],"Although":[13],"the":[14,26,73,77,93,108,111,125,129,132,134,139,145,163,181,184,189],"state-of-the-art":[15,190],"convolution":[16],"neural":[17],"network":[18,54],"(CNN)-based":[19],"SISR":[20,194],"methods":[21,171],"have":[22],"achieved":[23],"excellent":[24],"results,":[25],"large":[27],"model":[28,62,177],"and":[29,49,64,128,156,176,203],"slow":[30],"speed":[31],"make":[32],"it":[33],"difficult":[34],"to":[35,56,83,101,106],"deploy":[36],"real":[38],"tasks.":[41],"In":[42,179],"this":[43],"article,":[44],"we":[45],"propose":[46,115],"a":[47,58,96,116,122,166],"compact":[48],"efficient":[50],"distance":[51,67,117],"attention":[52,68,118],"residual":[53,69,98,104],"(DARN)":[55],"achieve":[57],"better":[59,167],"compromise":[60,168],"between":[61,124],"accuracy":[63],"complexity.":[65,178],"connection":[70],"block":[71,99,119],"(DARCB),":[72],"core":[74],"component":[75],"DARN,":[78],"uses":[79],"multistage":[80],"feature":[81,87],"aggregation":[82],"learn":[84,103],"more":[85],"accurate":[86],"representations.":[88],"main":[90,126],"branch":[91,127,130],"DARCB":[94],"adopts":[95],"shallow":[97],"(SRB)":[100],"flexibly":[102],"information":[105],"ensure":[107],"robustness":[109],"model.":[112],"We":[113],"also":[114],"(DAB)":[120],"as":[121],"bridge":[123],"DARCB;":[133],"DAB":[135],"can":[136],"effectively":[137],"alleviate":[138],"loss":[140],"detail":[142],"features":[143],"deep":[146],"CNN":[147],"extraction":[148],"process.":[149],"Experimental":[150],"results":[151],"on":[152],"two":[153],"five":[157],"super-resolution":[158],"benchmark":[159],"datasets":[160],"demonstrate":[161],"that":[162],"DARN":[164,182],"achieves":[165,183],"than":[169],"existing":[170],"terms":[173,197],"performance":[175],"addition,":[180],"optimal":[185],"solution":[186],"compared":[187],"with":[188],"lightweight":[191],"method":[195],"parameter":[199],"amount,":[200,202],"computation":[201],"inference":[204],"speed.":[205],"Our":[206],"code":[207],"will":[208],"be":[209],"available":[210],"at":[211],"<uri":[212],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[213],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/candygogogogo/DARN</uri>":[214],".":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}