{"id":"https://openalex.org/W4396949068","doi":"https://doi.org/10.1109/jstars.2024.3402122","title":"Burned Area Segmentation in Optical Remote Sensing Images Driven by U-Shaped Multistage Masked Autoencoder","display_name":"Burned Area Segmentation in Optical Remote Sensing Images Driven by U-Shaped Multistage Masked Autoencoder","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396949068","doi":"https://doi.org/10.1109/jstars.2024.3402122"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3402122","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3402122","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":null,"license_id":null,"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.2024.3402122","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003058347","display_name":"Yuxiang Fu","orcid":"https://orcid.org/0009-0003-1811-7274"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxiang Fu","raw_affiliation_strings":["School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086567612","display_name":"Wei Fang","orcid":"https://orcid.org/0000-0002-5561-7249"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Fang","raw_affiliation_strings":["School of Computer Science, Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051706630","display_name":"Victor S. Sheng","orcid":"https://orcid.org/0000-0003-4960-174X"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Victor S. Sheng","raw_affiliation_strings":["Department of Computer Science, Texas Tech University, Lubbock, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003058347"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":1.745,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.85375997,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"17","issue":null,"first_page":"10770","last_page":"10780"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.992900013923645,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.992900013923645,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9897000193595886,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8527606725692749},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6571401357650757},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6387879848480225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6252975463867188},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5940274596214294},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5288611054420471},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.49503010511398315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38113027811050415},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.17589101195335388},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16651636362075806}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8527606725692749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6571401357650757},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6387879848480225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6252975463867188},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5940274596214294},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5288611054420471},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.49503010511398315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38113027811050415},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.17589101195335388},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16651636362075806}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jstars.2024.3402122","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3402122","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":null,"license_id":null,"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:ttu-ir.tdl.org:2346/98652","is_oa":true,"landing_page_url":"https://hdl.handle.net/2346/98652","pdf_url":"https://ttu-ir.tdl.org/bitstreams/ec19f59d-eec2-4e49-b639-fd27eccd5f05/download","source":{"id":"https://openalex.org/S4306402519","display_name":"ThinkTech (Texas Tech University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I12315562","host_organization_name":"Texas Tech University","host_organization_lineage":["https://openalex.org/I12315562"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:5567a4d4249741fba6104edf8c16bae4","is_oa":true,"landing_page_url":"https://doaj.org/article/5567a4d4249741fba6104edf8c16bae4","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10770-10780 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3402122","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3402122","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":null,"license_id":null,"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/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5902239003","display_name":null,"funder_award_id":"42075007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","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"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320324720","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2194775991","https://openalex.org/W2560023338","https://openalex.org/W2565639579","https://openalex.org/W2787091153","https://openalex.org/W2884822772","https://openalex.org/W2949942303","https://openalex.org/W2955058313","https://openalex.org/W2963706010","https://openalex.org/W2964069799","https://openalex.org/W2998082161","https://openalex.org/W3045606376","https://openalex.org/W3094502228","https://openalex.org/W3119180266","https://openalex.org/W3159637683","https://openalex.org/W3170841864","https://openalex.org/W3216149117","https://openalex.org/W4206713112","https://openalex.org/W4281393096","https://openalex.org/W4281485649","https://openalex.org/W4290715747","https://openalex.org/W4302763983","https://openalex.org/W4311711276","https://openalex.org/W4312309398","https://openalex.org/W4312785900","https://openalex.org/W4312789082","https://openalex.org/W4312804044","https://openalex.org/W4312815172","https://openalex.org/W4313156423","https://openalex.org/W4313170506","https://openalex.org/W4315631463","https://openalex.org/W4321780008","https://openalex.org/W4323317330","https://openalex.org/W4367672413","https://openalex.org/W4381250385","https://openalex.org/W4384282013","https://openalex.org/W4385785811","https://openalex.org/W4386065238","https://openalex.org/W4386083042","https://openalex.org/W4386212347","https://openalex.org/W4386282945","https://openalex.org/W4386766977","https://openalex.org/W4386824701","https://openalex.org/W4388157208","https://openalex.org/W4388543795","https://openalex.org/W4389217434","https://openalex.org/W4393906060","https://openalex.org/W4402727760","https://openalex.org/W6797399245","https://openalex.org/W6842806116","https://openalex.org/W6859064885","https://openalex.org/W6859414402"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Computer":[0],"vision":[1,38,47],"(CV)":[2],"for":[3,35,100,202],"natural":[4],"disaster":[5],"monitoring":[6],"from":[7,168,177,193,227],"optical":[8],"remote":[9],"sensing":[10],"images":[11],"(ORSIs)":[12],"has":[13,25,53,115,143],"been":[14],"an":[15],"emerging":[16],"topic":[17],"in":[18,29,50,61,74,102,112,199,224],"analyzing":[19],"ORSIs.":[20],"Recently":[21],"masked":[22,97],"autoencoder":[23,98],"(MAE)":[24],"achieved":[26],"great":[27],"success":[28],"CV":[30],"and":[31,58,118,125,136,157,172,209],"shown":[32],"promising":[33],"potential":[34],"many":[36],"downstream":[37],"tasks.":[39],"However,":[40],"due":[41],"to":[42,69,77,229],"the":[43,107,123,128,133,139,147,152,158,169,178,182,200,242],"inherent":[44],"limitation":[45],"of":[46,110,221],"transformer":[48],"(ViT)":[49],"MAE":[51,68,111],"which":[52,104,131,205],"a":[54,87,215],"fixed":[55],"feature":[56,134,203,207],"scale":[57],"performs":[59],"poorly":[60],"modeling":[62],"local":[63,183,186],"spatial":[64,187],"correlation,":[65],"directly":[66],"applying":[67],"burned":[70,222],"area":[71,223],"segmentation":[72,210],"(BAS)":[73],"ORSIs":[75,220],"fails":[76],"achieve":[78],"satisfactory":[79],"results.":[80],"To":[81],"address":[82],"this":[83],"problem,":[84],"we":[85,213],"propose":[86],"novel":[88],"dual-branch":[89],"complement":[90],"network":[91],"(DCNet)":[92],"driven":[93],"by":[94],"U-shaped":[95],"multistage":[96],"(UMMAE)":[99],"BAS":[101,217,235],"ORSIs,":[103],"is":[105],"also":[106],"first":[108],"application":[109],"BAS.":[113],"UMMAE":[114,171],"four":[116],"stages":[117],"introduces":[119],"skip":[120],"connection":[121],"between":[122],"encoder":[124,149,154],"decoder":[126,201],"at":[127,189],"same":[129],"stage,":[130],"improves":[132,206],"diversity":[135],"further":[137],"enhances":[138],"model":[140],"performance.":[141],"DCNet":[142,240],"three":[144],"major":[145],"components:":[146],"ViT":[148],"(global":[150],"branch),":[151,156],"convolution":[153],"(local":[155],"decoder.":[159],"The":[160],"global":[161,174],"branch":[162,184],"inherits":[163],"visual":[164],"representation":[165],"learning":[166],"ability":[167],"pretrained":[170],"captures":[173],"contextual":[175],"information":[176,188],"input":[179],"image,":[180],"while":[181],"extracts":[185],"different":[190,195],"scales.":[191],"Features":[192],"two":[194,234],"branches":[196],"are":[197],"fused":[198],"complementation,":[204],"discriminability":[208],"accuracy.":[211],"Besides,":[212],"build":[214],"new":[216],"dataset":[218],"containing":[219],"California,":[225],"USA,":[226],"2017":[228],"2022.":[230],"Extensive":[231],"experiments":[232],"on":[233],"datasets":[236],"demonstrate":[237],"that":[238],"our":[239],"outperforms":[241],"state-of-the-art":[243],"methods.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}