{"id":"https://openalex.org/W4205666349","doi":"https://doi.org/10.1109/lgrs.2022.3141498","title":"ED-DRAP: Encoder\u2013Decoder Deep Residual Attention Prediction Network for Radar Echoes","display_name":"ED-DRAP: Encoder\u2013Decoder Deep Residual Attention Prediction Network for Radar Echoes","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4205666349","doi":"https://doi.org/10.1109/lgrs.2022.3141498"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2022.3141498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3141498","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5001324444","display_name":"Hongshu Che","orcid":"https://orcid.org/0000-0003-2252-3112"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongshu Che","raw_affiliation_strings":["Key Laboratory of Measurement and Control of CSE, Ministry of Education, and School of Automation, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Measurement and Control of CSE, Ministry of Education, and School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020944070","display_name":"Dan Niu","orcid":"https://orcid.org/0000-0002-0715-7946"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Niu","raw_affiliation_strings":["Key Laboratory of Measurement and Control of CSE, Ministry of Education, and School of Automation, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0715-7946","affiliations":[{"raw_affiliation_string":"Key Laboratory of Measurement and Control of CSE, Ministry of Education, and School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103043377","display_name":"Zengliang Zang","orcid":"https://orcid.org/0009-0002-8979-4507"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengliang Zang","raw_affiliation_strings":["Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090784541","display_name":"Yichao Cao","orcid":"https://orcid.org/0000-0003-2997-4012"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichao Cao","raw_affiliation_strings":["Key Laboratory of Measurement and Control of CSE, Ministry of Education, and School of Automation, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2997-4012","affiliations":[{"raw_affiliation_string":"Key Laboratory of Measurement and Control of CSE, Ministry of Education, and School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011984804","display_name":"Xisong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xisong Chen","raw_affiliation_strings":["Key Laboratory of Measurement and Control of CSE, Ministry of Education, and School of Automation, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Measurement and Control of CSE, Ministry of Education, and School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2542,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.92002671,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9994999766349792,"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/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9994000196456909,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9955000281333923,"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/residual","display_name":"Residual","score":0.8676599264144897},{"id":"https://openalex.org/keywords/nowcasting","display_name":"Nowcasting","score":0.8102222681045532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7732524871826172},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6128234267234802},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6019004583358765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5529246926307678},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4701188802719116},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4506252110004425},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3797529935836792},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28217941522598267},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.144306480884552},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.0939914882183075},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07398226857185364}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8676599264144897},{"id":"https://openalex.org/C2781013037","wikidata":"https://www.wikidata.org/wiki/Q1433331","display_name":"Nowcasting","level":2,"score":0.8102222681045532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7732524871826172},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6128234267234802},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6019004583358765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5529246926307678},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4701188802719116},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4506252110004425},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3797529935836792},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28217941522598267},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.144306480884552},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0939914882183075},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07398226857185364},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2022.3141498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2022.3141498","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G4707716876","display_name":null,"funder_award_id":"2018YFC1506905","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7121147207","display_name":null,"funder_award_id":"BK20202006","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W582593712","https://openalex.org/W1545465591","https://openalex.org/W2024414272","https://openalex.org/W2594928006","https://openalex.org/W2747155557","https://openalex.org/W2771590586","https://openalex.org/W2866634454","https://openalex.org/W2888798257","https://openalex.org/W2965679379","https://openalex.org/W2998557500","https://openalex.org/W2998982568","https://openalex.org/W3021496143","https://openalex.org/W3047021033","https://openalex.org/W3092445480","https://openalex.org/W3119912078","https://openalex.org/W3126335003","https://openalex.org/W3132280960","https://openalex.org/W6628877408","https://openalex.org/W6739112683","https://openalex.org/W6745829810","https://openalex.org/W6750259706","https://openalex.org/W6772413346","https://openalex.org/W6777361605"],"related_works":["https://openalex.org/W2275988210","https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4383749006","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W3099850646","https://openalex.org/W2738221750"],"abstract_inverted_index":{"Precipitation":[0],"nowcasting":[1,106],"is":[2],"quite":[3],"important":[4],"and":[5,48,51,63,68,93],"fundamental.":[6],"It":[7],"underlies":[8],"various":[9],"public":[10],"services":[11],"ranging":[12],"from":[13],"rainstorm":[14],"warnings":[15],"to":[16,21],"flight":[17],"safety.":[18],"In":[19],"order":[20],"further":[22],"improve":[23],"the":[24,28,45,88,104],"prediction":[25,40,57],"accuracy":[26],"for":[27],"spatiotemporal":[29],"sequence":[30,67],"forecasting":[31],"problem,":[32],"we":[33],"propose":[34],"an":[35],"encoder–decoder":[36],"deep":[37,54,65],"residual":[38,56,61,66],"attention":[39,70],"network,":[41],"which":[42],"adaptively":[43],"rescales":[44],"multiscale":[46],"sequence-":[47],"spatial-wise":[49],"features":[50],"achieves":[52],"very":[53],"trainable":[55],"by":[58],"integrating":[59],"global":[60],"learning":[62],"local":[64],"spatial":[69],"blocks":[71],"(RSSABs).":[72],"Experiments":[73],"in":[74],"a":[75],"real-world":[76],"radar":[77],"echo":[78],"map":[79],"dataset":[80],"of":[81],"South":[82],"China":[83],"show":[84],"that":[85],"compared":[86],"with":[87],"ingenious":[89],"PredRNN++,":[90],"TrajGRU":[91],"methods,":[92,97],"newly":[94],"proposed":[95],"Unet-based":[96],"our":[98],"ED-DRAP":[99],"network":[100],"performs":[101],"better":[102],"on":[103],"precipitation":[105],"metrics,":[107],"as":[108,110],"well":[109],"occupies":[111],"small":[112],"GPU":[113],"memory.":[114]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}