{"id":"https://openalex.org/W7128689605","doi":"https://doi.org/10.48550/arxiv.2602.10491","title":"Towards Remote Sensing Change Detection with Neural Memory","display_name":"Towards Remote Sensing Change Detection with Neural Memory","publication_year":2026,"publication_date":"2026-02-11","ids":{"openalex":"https://openalex.org/W7128689605","doi":"https://doi.org/10.48550/arxiv.2602.10491"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.10491","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125688237","display_name":"Zhenyu Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yang, Zhenyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082756213","display_name":"Gensheng Pei","orcid":"https://orcid.org/0000-0002-7677-7487"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pei, Gensheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027545344","display_name":"Yazhou Yao","orcid":"https://orcid.org/0000-0002-0337-9410"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao, Yazhou","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014693708","display_name":"Tianfei Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Tianfei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456727","display_name":"Lu Ding","orcid":"https://orcid.org/0000-0002-1454-1532"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ding, Lizhong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5125707895","display_name":"Fumin Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Fumin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5125688237"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.925000011920929,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.925000011920929,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.01119999960064888,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.00989999994635582,"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/scalability","display_name":"Scalability","score":0.6654000282287598},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6421999931335449},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.51419997215271},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.49889999628067017},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.3662000000476837},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.3646000027656555}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836999893188477},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6654000282287598},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6421999931335449},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.51419997215271},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.49889999628067017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48190000653266907},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42500001192092896},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3662000000476837},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3646000027656555},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3513999879360199},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.32760000228881836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3183000087738037},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30469998717308044},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2757999897003174},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2745000123977661},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.10491","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.10491","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.10491","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.10491","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8334657549858093,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Remote":[0],"sensing":[1,71],"change":[2,72],"detection":[3,129],"is":[4],"essential":[5],"for":[6,69],"environmental":[7],"monitoring,":[8],"urban":[9],"planning,":[10],"and":[11,40,127,140,151],"related":[12],"applications.":[13],"However,":[14],"current":[15],"methods":[16],"often":[17],"struggle":[18],"to":[19,47,105,124],"capture":[20,48],"long-range":[21,93],"dependencies":[22,94],"while":[23,95,156],"maintaining":[24],"computational":[25,97],"efficiency.":[26],"Although":[27],"Transformers":[28],"can":[29],"effectively":[30],"model":[31],"global":[32],"context,":[33],"their":[34],"quadratic":[35],"complexity":[36],"poses":[37],"scalability":[38],"challenges,":[39],"existing":[41],"linear":[42],"attention":[43,123],"approaches":[44],"frequently":[45],"fail":[46],"intricate":[49],"spatiotemporal":[50],"relationships.":[51],"Drawing":[52],"inspiration":[53],"from":[54],"the":[55,66,78],"recent":[56],"success":[57],"of":[58],"Titans":[59],"in":[60],"language":[61],"tasks,":[62],"we":[63,75,100,114],"present":[64,101],"ChangeTitans,":[65],"Titans-based":[67,80],"framework":[68],"remote":[70],"detection.":[73],"Specifically,":[74],"propose":[76],"VTitans,":[77],"first":[79],"vision":[81],"backbone":[82],"that":[83,143],"integrates":[84],"neural":[85],"memory":[86],"with":[87],"segmented":[88],"local":[89],"attention,":[90],"thereby":[91],"capturing":[92],"mitigating":[96],"overhead.":[98],"Next,":[99],"a":[102,117],"hierarchical":[103],"VTitans-Adapter":[104],"refine":[106],"multi-scale":[107],"features":[108],"across":[109],"different":[110],"network":[111],"layers.":[112],"Finally,":[113],"introduce":[115],"TS-CBAM,":[116],"two-stream":[118],"fusion":[119],"module":[120],"leveraging":[121],"cross-temporal":[122],"suppress":[125],"pseudo-changes":[126],"enhance":[128],"accuracy.":[130],"Experimental":[131],"evaluations":[132],"on":[133,154],"four":[134],"benchmark":[135],"datasets":[136],"(LEVIR-CD,":[137],"WHU-CD,":[138],"LEVIR-CD+,":[139],"SYSU-CD)":[141],"demonstrate":[142],"ChangeTitans":[144],"achieves":[145],"state-of-the-art":[146],"results,":[147],"attaining":[148],"\\textbf{84.36\\%}":[149],"IoU":[150],"\\textbf{91.52\\%}":[152],"F1-score":[153],"LEVIR-CD,":[155],"remaining":[157],"computationally":[158],"competitive.":[159]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-13T00:00:00"}
