{"id":"https://openalex.org/W3169060579","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443310","title":"Spatiotemporal Convolutional LSTM for Radar Echo Extrapolation","display_name":"Spatiotemporal Convolutional LSTM for Radar Echo Extrapolation","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3169060579","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443310","mag":"3169060579"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf51394.2020.9443310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","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/A5014020768","display_name":"Shuxin Zhong","orcid":"https://orcid.org/0009-0006-1758-2870"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuxin Zhong","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Computational Science, Guangzhou, China","School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Science, Guangzhou, China","institution_ids":["https://openalex.org/I4210098034"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114020051","display_name":"Xianxin Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianxin Zeng","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Computational Science, Guangzhou, China","School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Science, Guangzhou, China","institution_ids":["https://openalex.org/I4210098034"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029820392","display_name":"Qing Ling","orcid":"https://orcid.org/0000-0003-4222-5964"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Ling","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Computational Science, Guangzhou, China","School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Computational Science, Guangzhou, China","institution_ids":["https://openalex.org/I4210098034"]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078797648","display_name":"Qiushi Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiushi Wen","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, Guangzhou, China","Guangzhou Institute of Tropical and Marine Meteorology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Guangzhou Institute of Tropical and Marine Meteorology, Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075343972","display_name":"Weiguang Meng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiguang Meng","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, Guangzhou, China","Guangzhou Institute of Tropical and Marine Meteorology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Guangzhou Institute of Tropical and Marine Meteorology, Guangzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101046437","display_name":"Yerong Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yerong Feng","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, Guangzhou, China","Guangzhou Institute of Tropical and Marine Meteorology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Guangzhou Institute of Tropical and Marine Meteorology, Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5014020768"],"corresponding_institution_ids":["https://openalex.org/I157773358","https://openalex.org/I4210098034"],"apc_list":null,"apc_paid":null,"fwci":1.2357,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79145225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"58","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11698","display_name":"Underwater Acoustics Research","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.8152374029159546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7343195676803589},{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.7255240678787231},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.7116059064865112},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6297340989112854},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.46788305044174194},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.44224148988723755},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43955516815185547},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.42899829149246216},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.379220575094223},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07229149341583252},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07157376408576965},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06486749649047852}],"concepts":[{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.8152374029159546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7343195676803589},{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.7255240678787231},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.7116059064865112},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6297340989112854},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.46788305044174194},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.44224148988723755},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43955516815185547},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.42899829149246216},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.379220575094223},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07229149341583252},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07157376408576965},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06486749649047852},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf51394.2020.9443310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1514535095","https://openalex.org/W2116435618","https://openalex.org/W2191380711","https://openalex.org/W2295628903","https://openalex.org/W2605145284","https://openalex.org/W2625614184","https://openalex.org/W2739107216","https://openalex.org/W2752782242","https://openalex.org/W2768975186","https://openalex.org/W2784025318","https://openalex.org/W2796873224","https://openalex.org/W2884585870","https://openalex.org/W2895340641","https://openalex.org/W2898732869","https://openalex.org/W2963091558","https://openalex.org/W2963149042","https://openalex.org/W2963403868","https://openalex.org/W2963420686","https://openalex.org/W2963866658","https://openalex.org/W2963984455","https://openalex.org/W2985680812","https://openalex.org/W2998108143","https://openalex.org/W3013229294","https://openalex.org/W4385245566","https://openalex.org/W6628877408","https://openalex.org/W6630875275","https://openalex.org/W6677326919","https://openalex.org/W6678174250","https://openalex.org/W6685670348","https://openalex.org/W6736543080","https://openalex.org/W6739112683","https://openalex.org/W6739901393","https://openalex.org/W6745829810","https://openalex.org/W6750259706","https://openalex.org/W6772853553"],"related_works":["https://openalex.org/W1968270095","https://openalex.org/W4296478327","https://openalex.org/W1960072520","https://openalex.org/W2042397106","https://openalex.org/W4361730764","https://openalex.org/W1965029248","https://openalex.org/W3000097931","https://openalex.org/W2220129715","https://openalex.org/W2387596242","https://openalex.org/W2377299694"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5],"novel":[6],"spatiotemporal":[7,24,36,42,64,75],"convolutional":[8],"long":[9],"short-term":[10],"memory":[11],"(ST-ConvLSTM)":[12],"network":[13],"for":[14],"radar":[15,52,96],"echo":[16,53,97],"extrapolation.":[17],"ST-ConvLSTM":[18,83],"uses":[19],"ConvLSTM":[20],"to":[21,31,62,68],"capture":[22],"coarse":[23],"features":[25],"and":[26,34,38,73,93],"adopts":[27],"the":[28,49,71,80,90,94],"attention":[29],"mechanism":[30],"model":[32],"long-range":[33,72],"long-term":[35,74],"dependency,":[37],"thus":[39],"obtains":[40],"enhanced":[41],"representation":[43],"capabilities.":[44],"This":[45],"is":[46],"different":[47],"from":[48],"most":[50],"existing":[51,87],"extrapolation":[54],"approaches":[55,88],"that":[56],"use":[57],"dual":[58],"or":[59],"cascaded":[60],"structures":[61],"fuse":[63],"information":[65],"but":[66],"fail":[67],"fully":[69],"investigate":[70],"dependency.":[76],"Experimental":[77],"results":[78],"demonstrate":[79],"effectiveness":[81],"of":[82],"compared":[84],"with":[85],"several":[86],"on":[89],"moving-MNIST":[91],"dataset":[92],"real":[95],"dataset.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}