{"id":"https://openalex.org/W4385413374","doi":"https://doi.org/10.1109/tgrs.2023.3298037","title":"Cross-Scale-Guided Fusion Transformer for Disaster Assessment Using Satellite Imagery","display_name":"Cross-Scale-Guided Fusion Transformer for Disaster Assessment Using Satellite Imagery","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385413374","doi":"https://doi.org/10.1109/tgrs.2023.3298037"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3298037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3298037","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5027891903","display_name":"Weiwei Xiao","orcid":"https://orcid.org/0000-0002-8584-8769"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Xiao","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-8584-8769","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069706913","display_name":"Jingyong Su","orcid":"https://orcid.org/0000-0003-3216-7027"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyong Su","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3216-7027","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031480448","display_name":"Yongyong Chen","orcid":"https://orcid.org/0000-0003-1970-1993"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongyong Chen","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1970-1993","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083950779","display_name":"Guofeng Cao","orcid":"https://orcid.org/0000-0003-4827-1558"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I188538660","display_name":"University of Colorado Boulder","ror":"https://ror.org/02ttsq026","country_code":"US","type":"education","lineage":["https://openalex.org/I188538660"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Guofeng Cao","raw_affiliation_strings":["Department of Geography, University of Colorado Boulder, Boulder, CO, USA","School of Computer Science and Technology, Harbin Institute of Technology(Shenzhen), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4827-1558","affiliations":[{"raw_affiliation_string":"Department of Geography, University of Colorado Boulder, Boulder, CO, USA","institution_ids":["https://openalex.org/I188538660"]},{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology(Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I158809036","https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.013,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.88089736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9957000017166138,"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":0.7950685620307922},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5635315775871277},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.49962472915649414},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.49495261907577515},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4848731458187103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4690331220626831},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42463916540145874},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.2695574462413788},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1415823996067047},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09077814221382141}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7950685620307922},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5635315775871277},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.49962472915649414},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.49495261907577515},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4848731458187103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4690331220626831},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42463916540145874},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2695574462413788},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1415823996067047},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09077814221382141},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3298037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3298037","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.7799999713897705}],"awards":[{"id":"https://openalex.org/G1248057420","display_name":null,"funder_award_id":"2022A1515010800","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G1570251590","display_name":null,"funder_award_id":"62106063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3911502178","display_name":null,"funder_award_id":"2022A1515010819","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G7182793249","display_name":null,"funder_award_id":"#70NANB19H061","funder_id":"https://openalex.org/F4320332178","funder_display_name":"National Institute of Standards and Technology"},{"id":"https://openalex.org/G7663000583","display_name":null,"funder_award_id":"JCYJ20220818102414031","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320332178","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416"},{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1563795667","https://openalex.org/W2026665610","https://openalex.org/W2106636562","https://openalex.org/W2107361801","https://openalex.org/W2108598243","https://openalex.org/W2109255472","https://openalex.org/W2117228865","https://openalex.org/W2124386111","https://openalex.org/W2154406711","https://openalex.org/W2161599811","https://openalex.org/W2161969291","https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2586605574","https://openalex.org/W2761477104","https://openalex.org/W2768327837","https://openalex.org/W2811199523","https://openalex.org/W2951991161","https://openalex.org/W2962914239","https://openalex.org/W2963351448","https://openalex.org/W2964146769","https://openalex.org/W2967473420","https://openalex.org/W2988020997","https://openalex.org/W2993360667","https://openalex.org/W3015433531","https://openalex.org/W3027225766","https://openalex.org/W3096609285","https://openalex.org/W3107075006","https://openalex.org/W3112001738","https://openalex.org/W3112821508","https://openalex.org/W3127751679","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3161846845","https://openalex.org/W3170841864","https://openalex.org/W3175213166","https://openalex.org/W3180045188","https://openalex.org/W3195032332","https://openalex.org/W3205440207","https://openalex.org/W3205983230","https://openalex.org/W3207918547","https://openalex.org/W3211490618","https://openalex.org/W4290755484","https://openalex.org/W4293733704","https://openalex.org/W4296999582","https://openalex.org/W4313124045","https://openalex.org/W4385245566","https://openalex.org/W4388005045","https://openalex.org/W6618372016","https://openalex.org/W6633802082","https://openalex.org/W6676460255","https://openalex.org/W6739901393","https://openalex.org/W6766195037","https://openalex.org/W6775948734","https://openalex.org/W6790275670","https://openalex.org/W6797399245"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297"],"abstract_inverted_index":{"When":[0],"a":[1,86,117,136],"disaster":[2,5,198],"strikes,":[3],"accurate":[4],"information":[6,24,105,126],"and":[7,15,36,49,97,108,130,150,156,170,181,189,197],"effective":[8,104],"response":[9],"are":[10],"critical":[11],"for":[12],"saving":[13],"lives":[14],"properties.":[16],"High-resolution":[17],"satellite":[18],"(HRS)":[19],"imagery":[20],"provides":[21],"valuable":[22],"geographical":[23],"that":[25,122],"can":[26],"assist":[27],"experts":[28],"in":[29,33,128,146,161,178],"analyzing":[30,42],"damage":[31,81,183],"levels":[32],"different":[34],"areas":[35],"enacting":[37],"appropriate":[38],"relief":[39],"plans.":[40],"However,":[41],"large":[43],"HRS":[44,68],"images":[45,92,145],"is":[46],"both":[47,168],"time-consuming":[48],"inefficient,":[50],"requiring":[51],"efficient":[52],"automated":[53],"methods":[54,62,83,177],"to":[55,139,165],"replace":[56],"expert":[57],"analysis.":[58],"Fortunately,":[59],"deep":[60],"learning":[61],"have":[63],"achieved":[64],"impressive":[65],"performance":[66],"on":[67,185],"image":[69],"processing":[70],"tasks,":[71],"considerably":[72],"increasing":[73],"automation":[74],"levels.":[75],"Despite":[76],"this":[77,113],"progress,":[78],"most":[79],"HRS-based":[80],"assessment":[82,184],"only":[84],"consider":[85],"single":[87],"time":[88],"series":[89],"of":[90,103],"post-disaster":[91,98,109,131,171],"or":[93],"simply":[94],"integrate":[95],"pre-":[96,107,129,169],"images,":[99],"lacking":[100],"the":[101,125,147,153,162,186],"integration":[102],"between":[106],"images.":[110,132,172],"To":[111],"alleviate":[112],"problem,":[114],"we":[115,134],"propose":[116,152],"two-stage":[118],"multi-scale":[119],"fusion":[120,155,159],"network":[121],"fully":[123],"exploits":[124],"contained":[127],"Specifically,":[133],"employ":[135],"hierarchical":[137],"Transformer":[138],"accurately":[140],"locate":[141],"buildings":[142],"by":[143],"pre-disaster":[144],"first":[148],"stage,":[149],"then":[151],"guided":[154,158],"cross-scale":[157],"modules":[160],"second":[163],"stage":[164],"efficiently":[166],"utilize":[167],"Our":[173],"method":[174],"outperforms":[175],"state-of-the-art":[176],"building":[179,182],"segmentation":[180],"xBD":[187],"dataset,":[188],"exhibits":[190],"improved":[191],"generalization":[192],"across":[193],"diverse":[194],"geographic":[195],"regions":[196],"types.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
