{"id":"https://openalex.org/W4411144112","doi":"https://doi.org/10.1109/tgrs.2025.3577705","title":"Space Target Image Sequence Prediction Based on Multilevel Motion Memory Intelligent Learning","display_name":"Space Target Image Sequence Prediction Based on Multilevel Motion Memory Intelligent Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411144112","doi":"https://doi.org/10.1109/tgrs.2025.3577705"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3577705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3577705","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/A5108756723","display_name":"Fan Yu","orcid":"https://orcid.org/0009-0008-1781-3792"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Fan","raw_affiliation_strings":["Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0008-1781-3792","affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050315288","display_name":"Yikang Yang","orcid":"https://orcid.org/0000-0003-2983-2313"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikang Yang","raw_affiliation_strings":["Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-2983-2313","affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Information Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yu Jiang","orcid":"https://orcid.org/0000-0001-8377-3591"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Jiang","raw_affiliation_strings":["Xi&#x2019;an Satellite Control Center, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0001-8377-3591","affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Satellite Control Center, Xi&#x2019;an, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.5798,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60086803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.609000027179718,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.609000027179718,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.5788000226020813,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14270","display_name":"Simulation and Modeling Applications","score":0.5654000043869019,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7194631099700928},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6842057108879089},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6186922192573547},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5737730860710144},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5040463805198669},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4153411090373993},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3730573058128357}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7194631099700928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6842057108879089},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6186922192573547},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5737730860710144},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5040463805198669},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4153411090373993},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3730573058128357},{"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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3577705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3577705","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/G3910068360","display_name":null,"funder_award_id":"CYK2024-01-01","funder_id":"https://openalex.org/F4320330424","funder_display_name":"Key Laboratory of Intelligent Multimedia Technology"},{"id":"https://openalex.org/G8336348847","display_name":null,"funder_award_id":"2022ZD0117301","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"}],"funders":[{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320330424","display_name":"Key Laboratory of Intelligent Multimedia Technology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W2808011586","https://openalex.org/W2809314052","https://openalex.org/W2967033144","https://openalex.org/W3034426027","https://openalex.org/W3117121936","https://openalex.org/W3138340468","https://openalex.org/W3155072588","https://openalex.org/W3172075653","https://openalex.org/W3181942264","https://openalex.org/W3184447318","https://openalex.org/W3211669256","https://openalex.org/W3213047736","https://openalex.org/W4210253176","https://openalex.org/W4226005233","https://openalex.org/W4280648216","https://openalex.org/W4285145384","https://openalex.org/W4285290842","https://openalex.org/W4312441836","https://openalex.org/W4313009682","https://openalex.org/W4323065948","https://openalex.org/W4360897596","https://openalex.org/W4366377772","https://openalex.org/W4381232913","https://openalex.org/W4385268882","https://openalex.org/W4385732598","https://openalex.org/W4385834461","https://openalex.org/W4386076121","https://openalex.org/W4386453713","https://openalex.org/W4387209529","https://openalex.org/W4388820144","https://openalex.org/W4388878644","https://openalex.org/W4389169911","https://openalex.org/W4389252765","https://openalex.org/W4390970466","https://openalex.org/W4391020334","https://openalex.org/W4392940139","https://openalex.org/W4394805009","https://openalex.org/W4395675013","https://openalex.org/W4396673880","https://openalex.org/W4398788605","https://openalex.org/W4399666340","https://openalex.org/W4399939478","https://openalex.org/W4399992851","https://openalex.org/W4400448268","https://openalex.org/W4401611144","https://openalex.org/W4402124965","https://openalex.org/W4402353534","https://openalex.org/W4402475327","https://openalex.org/W4402742256","https://openalex.org/W4402916931","https://openalex.org/W4403674914","https://openalex.org/W4403678465","https://openalex.org/W4403759152","https://openalex.org/W4404317059","https://openalex.org/W4407736536","https://openalex.org/W4408251505","https://openalex.org/W6774413459","https://openalex.org/W6779823529","https://openalex.org/W6850134294","https://openalex.org/W6864299336"],"related_works":["https://openalex.org/W2112284452","https://openalex.org/W4386051551","https://openalex.org/W2755342338","https://openalex.org/W2779427294","https://openalex.org/W2725946685","https://openalex.org/W2775347418","https://openalex.org/W2625805835","https://openalex.org/W2079911747","https://openalex.org/W3116076068","https://openalex.org/W3003936178"],"abstract_inverted_index":{"Predicting":[0],"sequences":[1],"of":[2,71,104,176,184,193],"space":[3,17,20,23,59,72,194],"target":[4,60,73,195],"images":[5],"is":[6,121],"a":[7,80,92,115,151],"highly":[8],"complex":[9,138],"spatio-temporal":[10,40,108],"forecasting":[11],"task":[12,192],"with":[13,47,154],"crucial":[14],"applications":[15],"in":[16,39,52,57,110,189],"resource":[18],"management,":[19],"situational":[21],"awareness,":[22],"operations,":[24],"satellite":[25,105],"constellation":[26],"control":[27],"and":[28,67,99,127,172,182],"configuration":[29],"maintenance.":[30],"Despite":[31],"some":[32],"progress":[33],"made":[34,159],"by":[35],"deep":[36],"learning":[37],"approaches":[38],"sequence":[41,75,197],"prediction,":[42,76],"existing":[43],"methods":[44],"often":[45],"struggle":[46],"long-term":[48],"temporal":[49],"dependencies,":[50],"resulting":[51],"spatial":[53],"inconsistencies":[54],"or":[55],"blurring":[56],"predicted":[58,112,177],"image":[61,74,196],"sequences.":[62,113],"To":[63],"address":[64],"these":[65],"challenges":[66],"enhance":[68],"the":[69,101,111,132,145,173,180,185,191],"quality":[70,175],"this":[77],"paper":[78],"introduces":[79],"novel":[81,116],"Multi-level":[82],"Motion":[83],"Memory-based":[84],"Intelligent":[85],"Learning":[86],"Algorithm":[87],"(M3IL).":[88],"This":[89],"algorithm":[90,188],"employs":[91],"sophisticated":[93],"memory-based":[94],"mechanism":[95],"to":[96,123,135],"accurately":[97],"capture":[98],"predict":[100],"dynamic":[102],"patterns":[103],"motion,":[106],"ensuring":[107],"consistency":[109],"Moreover,":[114],"improved":[117],"sigmoid":[118],"sampling":[119],"strategy":[120],"proposed":[122,186],"optimize":[124],"input":[125],"data":[126],"reduce":[128],"training":[129,167],"difficulties,":[130],"enhancing":[131],"model\u2019s":[133],"ability":[134],"gradually":[136],"learn":[137],"dependencies.":[139],"Experimental":[140],"validation":[141],"was":[142,158],"conducted":[143],"on":[144],"SPARK":[146],"2022":[147],"Stream-2":[148],"dataset,":[149],"where":[150],"comprehensive":[152],"comparison":[153],"several":[155],"advanced":[156],"algorithms":[157],"across":[160],"five":[161],"critical":[162],"metrics,":[163],"GPU":[164],"memory":[165],"usage,":[166],"time":[168],"consumption,":[169],"Friedman":[170],"test,":[171],"visual":[174],"images,":[178],"confirming":[179],"applicability":[181],"effectiveness":[183],"M3IL":[187],"handling":[190],"prediction.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
