{"id":"https://openalex.org/W4402259480","doi":"https://doi.org/10.1109/igarss53475.2024.10641816","title":"Parameter and Data Efficient Framework for Lightweight Change Detection","display_name":"Parameter and Data Efficient Framework for Lightweight Change Detection","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402259480","doi":"https://doi.org/10.1109/igarss53475.2024.10641816"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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/A5107012904","display_name":"Monikka Roslianna Busto","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Monikka Roslianna Busto","raw_affiliation_strings":["NTT Software Innovation Center"],"affiliations":[{"raw_affiliation_string":"NTT Software Innovation Center","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107012905","display_name":"Sepehr Nouri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sepehr Nouri","raw_affiliation_strings":["NTT Software Innovation Center"],"affiliations":[{"raw_affiliation_string":"NTT Software Innovation Center","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019776988","display_name":"Takeharu Eda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takeharu Eda","raw_affiliation_strings":["NTT Software Innovation Center"],"affiliations":[{"raw_affiliation_string":"NTT Software Innovation Center","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5107012904"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7627,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.74348802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"8767","last_page":"8771"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.7572000026702881,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.7572000026702881,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.7522000074386597,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.736299991607666,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6565604209899902},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.45684847235679626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1418762505054474}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6565604209899902},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.45684847235679626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1418762505054474}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2096733369","https://openalex.org/W2969656782","https://openalex.org/W3027225766","https://openalex.org/W3036453075","https://openalex.org/W3113229535","https://openalex.org/W3134255974","https://openalex.org/W3157506437","https://openalex.org/W3168652588","https://openalex.org/W3176330035","https://openalex.org/W3180045188","https://openalex.org/W4312549298","https://openalex.org/W4387801805","https://openalex.org/W4394595673","https://openalex.org/W6795140394"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Despite":[0],"extensive":[1],"research":[2],"in":[3,137,161],"change":[4,32,76,89,112,158],"detection":[5,33,113,159],"methods":[6],"for":[7,20,102,109],"remote":[8,162],"sensing,":[9],"there":[10],"has":[11],"been":[12],"relatively":[13],"little":[14],"work":[15],"on":[16],"optimizing":[17],"these":[18],"techniques":[19],"onboard":[21,42,157],"computing":[22],"scenarios.":[23],"In":[24],"this":[25,93],"study,":[26],"we":[27],"propose":[28],"a":[29,61,81,87],"novel":[30],"two-stage":[31],"framework":[34,97],"designed":[35],"to":[36,55,70,117,130,155],"address":[37],"the":[38,73,100,107,150],"unique":[39],"challenges":[40],"of":[41,60,75,152],"satellite":[43],"processing,":[44],"particularly":[45],"managing":[46],"limited":[47],"resources":[48],"and":[49,80,106,120,134,141],"mitigating":[50],"high":[51],"data":[52,116],"volumes":[53],"transmitted":[54],"earth.":[56],"Our":[57,144],"approach":[58,125],"consists":[59],"coarse-grained":[62],"stage,":[63,83],"serving":[64],"as":[65],"an":[66,78],"early":[67],"exit":[68],"mechanism":[69],"efficiently":[71],"predetermine":[72],"likelihood":[74],"within":[77],"image,":[79],"fine-grained":[82],"aimed":[84],"at":[85],"generating":[86],"detailed":[88],"map.":[90],"By":[91],"incorporating":[92],"dual-stage":[94],"methodology,":[95],"our":[96,124,153],"effectively":[98],"balances":[99],"need":[101],"rapid,":[103],"resource-efficient":[104],"computations":[105],"demand":[108],"detailed,":[110],"accurate":[111],"while":[114],"reducing":[115],"be":[118],"processed":[119],"transmitted.":[121],"We":[122],"apply":[123],"across":[126],"various":[127],"backbone":[128],"architectures":[129],"demonstrate":[131],"its":[132],"efficacy":[133],"report":[135],"enhancements":[136],"both":[138],"accuracy":[139],"metrics":[140],"runtime":[142],"performance.":[143],"results":[145],"showcase":[146],"significant":[147],"improvements,":[148],"affirming":[149],"potential":[151],"methodology":[154],"realize":[156],"processes":[160],"sensing":[163],"applications.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}