{"id":"https://openalex.org/W4388738147","doi":"https://doi.org/10.1145/3606043.3606083","title":"A Lightweight Remote Sensing Image Model of Natural Disaster Based on Knowledge Distillation","display_name":"A Lightweight Remote Sensing Image Model of Natural Disaster Based on Knowledge Distillation","publication_year":2023,"publication_date":"2023-06-17","ids":{"openalex":"https://openalex.org/W4388738147","doi":"https://doi.org/10.1145/3606043.3606083"},"language":"en","primary_location":{"id":"doi:10.1145/3606043.3606083","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606043.3606083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications","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/A5058972587","display_name":"Xuanshu Zhang","orcid":"https://orcid.org/0009-0001-5008-2038"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaohan Zhang","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences), China"],"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences), China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079367052","display_name":"Haijing Wang","orcid":"https://orcid.org/0009-0004-5969-135X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haijing Wang","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059055529","display_name":"R. Tian","orcid":"https://orcid.org/0009-0002-2466-6387"},"institutions":[{"id":"https://openalex.org/I4210155952","display_name":"Qingdao Huanghai University","ror":"https://ror.org/05e1zbn94","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210155952"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruipeng Tian","raw_affiliation_strings":["Qingdao Huanghai University, China"],"affiliations":[{"raw_affiliation_string":"Qingdao Huanghai University, China","institution_ids":["https://openalex.org/I4210155952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103176906","display_name":"Xuyang Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I152033890","display_name":"Hainan Normal University","ror":"https://ror.org/031dhcv14","country_code":"CN","type":"education","lineage":["https://openalex.org/I152033890"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuyang Cao","raw_affiliation_strings":["Hainan Normal University, China"],"affiliations":[{"raw_affiliation_string":"Hainan Normal University, China","institution_ids":["https://openalex.org/I152033890"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100701995","display_name":"Wei Ding","orcid":"https://orcid.org/0000-0003-4402-5616"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Ding","raw_affiliation_strings":["Shandong Computer Science Center (National Supercomputer Center in Jinan), China and \rQilu University of Technology (Shandong Academy of Sciences), China"],"affiliations":[{"raw_affiliation_string":"Shandong Computer Science Center (National Supercomputer Center in Jinan), China and \rQilu University of Technology (Shandong Academy of Sciences), China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058972587"],"corresponding_institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15617069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"281","last_page":"288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9577999711036682,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9430000185966492,"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":0.7096080780029297},{"id":"https://openalex.org/keywords/natural-disaster","display_name":"Natural disaster","score":0.5769253969192505},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.512019693851471},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4646754860877991},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4542466104030609},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36436334252357483},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3512369692325592},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10388645529747009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7096080780029297},{"id":"https://openalex.org/C166566181","wikidata":"https://www.wikidata.org/wiki/Q8065","display_name":"Natural disaster","level":2,"score":0.5769253969192505},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.512019693851471},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4646754860877991},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4542466104030609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36436334252357483},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3512369692325592},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10388645529747009},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3606043.3606083","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3606043.3606083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.44999998807907104,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1500719420","https://openalex.org/W1516807289","https://openalex.org/W2076711511","https://openalex.org/W2111809230","https://openalex.org/W2998838373","https://openalex.org/W3097012534","https://openalex.org/W3111896518","https://openalex.org/W3128600244","https://openalex.org/W4236965008","https://openalex.org/W4280586266","https://openalex.org/W4323913995"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W2055733372","https://openalex.org/W3022067003"],"abstract_inverted_index":{"Natural":[0],"disasters":[1,205],"are":[2],"among":[3],"the":[4,24,28,44,63,69,114,156,162],"most":[5],"severe":[6],"threats":[7],"to":[8,16,18,53,55,130,204],"human":[9],"survival":[10],"and":[11,19,33,50,68,71,74,88,111,116,136,153,161],"development,":[12],"making":[13],"it":[14],"crucial":[15],"respond":[17,54],"manage":[20],"them":[21],"effectively.":[22],"With":[23],"continuous":[25],"development":[26],"of":[27,30,39,46,76,86,118,158,164,184,198],"technology":[29,52],"remote":[31,48,80],"sensing":[32,49,81],"its":[34],"application,":[35],"a":[36,84,124],"large":[37],"amount":[38],"work":[40,65],"has":[41],"emerged":[42],"in":[43,171,192,206],"field":[45],"using":[47,79],"GIS":[51],"natural":[56,93],"disasters,":[57],"playing":[58],"an":[59,100,189],"important":[60],"role.":[61],"However,":[62],"current":[64],"lacks":[66],"efficiency,":[67],"accurate":[70],"efficient":[72],"identification":[73,115],"delineation":[75,117],"disaster":[77,119,139],"areas":[78],"images":[82],"is":[83],"matter":[85],"life":[87],"death":[89],"when":[90],"facing":[91],"sudden":[92],"disasters.":[94],"In":[95,169],"this":[96],"study,":[97],"we":[98],"designed":[99],"image":[101],"model":[102,122,160],"based":[103],"on":[104],"knowledge":[105,137],"distillation,":[106],"which":[107,195],"can":[108],"more":[109],"accurately":[110],"efficiently":[112],"complete":[113],"areas.":[120],"The":[121],"uses":[123],"shared":[125],"weight":[126],"Siamese":[127],"network":[128],"structure":[129],"perform":[131],"pre-training":[132],"for":[133,201],"building":[134],"location":[135],"distillation-based":[138],"level":[140],"classification":[141],"training":[142],"sequentially.":[143],"Through":[144],"comparative":[145],"experiments":[146],"with":[147],"models":[148],"without":[149],"pre-training,":[150],"ensemble":[151],"models,":[152,155],"cross-entropy":[154],"effectiveness":[157],"our":[159,175],"necessity":[163],"each":[165],"component":[166],"were":[167],"demonstrated.":[168],"particular,":[170],"resource":[172],"consumption":[173],"experiments,":[174],"model's":[176],"computational":[177],"complexity":[178],"was":[179],"significantly":[180],"lower":[181],"than":[182],"that":[183],"other":[185],"models.":[186],"It":[187],"had":[188],"absolute":[190],"advantage":[191],"inference":[193],"time,":[194],"will":[196],"be":[197],"great":[199],"help":[200],"rapid":[202],"response":[203],"actual":[207],"deployment.":[208]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}