{"id":"https://openalex.org/W4210268724","doi":"https://doi.org/10.1109/tgrs.2022.3148310","title":"Spatio-Temporal Dual-Branch Network With Predictive Feature Learning for Satellite Video Object Segmentation","display_name":"Spatio-Temporal Dual-Branch Network With Predictive Feature Learning for Satellite Video Object Segmentation","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4210268724","doi":"https://doi.org/10.1109/tgrs.2022.3148310"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3148310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3148310","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/A5100754351","display_name":"Yanfei Zhong","orcid":"https://orcid.org/0000-0001-9446-5850"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfei Zhong","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing and Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9446-5850","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing and Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Meng Shu","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Shu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing and Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing and Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001721652","display_name":"Zhenqi Liu","orcid":"https://orcid.org/0000-0002-9356-220X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenqi Liu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing and Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-9356-220X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing and Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011042925","display_name":"Xiaoyan Lu","orcid":"https://orcid.org/0000-0002-9026-8195"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Lu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing and Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-9026-8195","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing and Hubei Provincial Engineering Research Center of Natural Resources Remote Sensing Monitoring, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8098,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.69339527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9976999759674072,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9976999759674072,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9901000261306763,"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":0.8288568258285522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7204769849777222},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6450585126876831},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5326988697052002},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.4672313332557678},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4522243142127991},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43579012155532837},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42846834659576416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.408537358045578},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.0847083330154419}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8288568258285522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7204769849777222},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6450585126876831},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5326988697052002},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.4672313332557678},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4522243142127991},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43579012155532837},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42846834659576416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.408537358045578},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0847083330154419},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3148310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3148310","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":[],"awards":[{"id":"https://openalex.org/G1223461643","display_name":"\u9ad8\u5149\u8c31\u9065\u611f\u5f71\u50cf\u6df1\u5ea6\u975e\u7ebf\u6027\u4e9a\u50cf\u5143\u5236\u56fe\u65b9\u6cd5\u7814\u7a76","funder_award_id":"42071350","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/F4320326938","display_name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing","ror":"https://ror.org/02bpap860"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W219040644","https://openalex.org/W764651262","https://openalex.org/W1560354729","https://openalex.org/W2009874829","https://openalex.org/W2011953904","https://openalex.org/W2013223918","https://openalex.org/W2054733829","https://openalex.org/W2057175746","https://openalex.org/W2097512404","https://openalex.org/W2107386393","https://openalex.org/W2115352131","https://openalex.org/W2117539524","https://openalex.org/W2121274305","https://openalex.org/W2127070222","https://openalex.org/W2158604775","https://openalex.org/W2212077366","https://openalex.org/W2374279841","https://openalex.org/W2460260369","https://openalex.org/W2470139095","https://openalex.org/W2522520073","https://openalex.org/W2548879274","https://openalex.org/W2560474170","https://openalex.org/W2601686579","https://openalex.org/W2613324285","https://openalex.org/W2773266593","https://openalex.org/W2778130973","https://openalex.org/W2781339404","https://openalex.org/W2799157347","https://openalex.org/W2799239273","https://openalex.org/W2889986507","https://openalex.org/W2923728357","https://openalex.org/W2943595669","https://openalex.org/W2963019093","https://openalex.org/W2963227409","https://openalex.org/W2963253279","https://openalex.org/W2963426332","https://openalex.org/W2963548592","https://openalex.org/W2963698657","https://openalex.org/W2963983744","https://openalex.org/W2966434031","https://openalex.org/W2967073193","https://openalex.org/W2982221123","https://openalex.org/W2990205821","https://openalex.org/W3005844601","https://openalex.org/W3011967204","https://openalex.org/W3147628841","https://openalex.org/W6675823452","https://openalex.org/W6691096134","https://openalex.org/W6760836977","https://openalex.org/W6775010131"],"related_works":["https://openalex.org/W4386083130","https://openalex.org/W2023355163","https://openalex.org/W2117442182","https://openalex.org/W3111737715","https://openalex.org/W2069571255","https://openalex.org/W2081707527","https://openalex.org/W4385998088","https://openalex.org/W4367623556","https://openalex.org/W3125517176","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Satellite":[0,19],"video":[1,20,34,162,215],"is":[2,24,36,103,139,204,230],"an":[3,170],"important":[4],"new":[5],"earth":[6],"observation":[7],"data":[8,163],"source":[9],"that":[10,273],"can":[11,179],"be":[12],"used":[13,205,231],"to":[14,68,146,206,232,256],"acquire":[15],"large-scale":[16],"dynamic":[17,153],"information.":[18],"object":[21,260],"segmentation":[22,125,181,197,237,261],"(SVOS)":[23],"aimed":[25],"at":[26],"separating":[27],"the":[28,46,73,82,91,110,128,132,142,152,159,176,188,195,208,213,225,234,244,250,258,274,278],"foreground":[29,78],"and":[30,35,62,75,87,122,155,216,265],"background":[31],"of":[32,72,85,117,190,212,243,249,268],"satellite":[33,42,161,214],"a":[37,99,118,123,174,199],"fundamental":[38],"processing":[39],"task":[40],"for":[41,109,141],"video.":[43],"To":[44],"date,":[45],"state-of-the-art":[47],"research":[48],"into":[49],"SVOS":[50,92,111,281],"has":[51],"mainly":[52],"focused":[53],"on":[54],"unsupervised":[55],"target":[56],"extraction":[57],"methods":[58],"through":[59,164],"hand-crafted":[60],"features":[61],"post-processing":[63,222],"operations,":[64],"which":[65,150],"are":[66,252],"prone":[67],"obtaining":[69],"incomplete":[70],"contours":[71],"targets":[74,86],"result":[76],"in":[77,96,169],"aperture":[79],"problem.":[80],"Furthermore,":[81],"small":[83,241],"size":[84,242],"appearance":[88,154],"deformation":[89],"make":[90],"more":[93],"difficult.":[94],"Therefore,":[95],"this":[97],"article,":[98],"spatio-temporal":[100],"dual-branch":[101],"network":[102,136,202,226,251],"proposed":[104,114,177,275],"with":[105,183],"predictive":[106,165],"feature":[107,166],"learning":[108,167],"task.":[112],"The":[113,246,263],"model":[115],"consists":[116],"temporal":[119,129,148,184],"coherence":[120,130],"branch":[121],"spatial":[124,196,210],"branch.":[126],"In":[127,194,224],"branch,":[131,198],"Wasserstein":[133],"generative":[134],"adversarial":[135,171],"(WGAN)":[137],"architecture":[138],"utilized":[140],"future":[143],"frame":[144],"prediction":[145],"exploit":[147],"information,":[149],"captures":[151],"motion":[156],"cues":[157],"from":[158],"unlabeled":[160],"module":[168],"manner.":[172],"As":[173],"result,":[175],"method":[178,276],"obtain":[180],"results":[182,267],"consistency,":[185],"while":[186],"avoiding":[187],"generation":[189],"optical":[191],"flow":[192],"images.":[193],"fully":[200],"convolutional":[201],"(FCN)":[203],"extract":[207],"high-level":[209],"information":[211],"achieve":[217],"end-to-end":[218],"SVOS,":[219],"without":[220],"any":[221],"operations.":[223],"implementation,":[227],"boundary":[228],"loss":[229],"solve":[233],"highly":[235],"unbalanced":[236],"problem":[238],"caused":[239],"by":[240],"targets.":[245],"two":[247],"branches":[248],"also":[253],"mutually":[254],"constrained,":[255],"improve":[257],"final":[259],"results.":[262],"visual":[264],"quantitative":[266],"three":[269],"experiments":[270],"all":[271],"demonstrate":[272],"outperforms":[277],"other":[279],"current":[280],"models.":[282]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}