{"id":"https://openalex.org/W2547410645","doi":"https://doi.org/10.1109/igarss.2016.7729881","title":"Continuous anomaly detection in satellite image time series based on Z-scores of Season-Trend model Residuals","display_name":"Continuous anomaly detection in satellite image time series based on Z-scores of Season-Trend model Residuals","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2547410645","doi":"https://doi.org/10.1109/igarss.2016.7729881","mag":"2547410645"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5111881652","display_name":"Zeng-Guang Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zeng-Guang Zhou","raw_affiliation_strings":["Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101748090","display_name":"Ping Tang","orcid":"https://orcid.org/0000-0002-8721-4209"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Tang","raw_affiliation_strings":["Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111881652"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":1.2017,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.81416549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3410","last_page":"3413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9846000075340271,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9843999743461609,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7790980339050293},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.7442761063575745},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5948739647865295},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5653376579284668},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5508690476417542},{"id":"https://openalex.org/keywords/flooding","display_name":"Flooding (psychology)","score":0.5210342407226562},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5132339000701904},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.4587952792644501},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.40128588676452637},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.39289379119873047},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34665751457214355},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2359769344329834},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22428849339485168},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.22099635004997253},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.18330463767051697},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10699361562728882},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.08014285564422607},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07538670301437378}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7790980339050293},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.7442761063575745},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5948739647865295},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5653376579284668},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5508690476417542},{"id":"https://openalex.org/C186594467","wikidata":"https://www.wikidata.org/wiki/Q1429176","display_name":"Flooding (psychology)","level":2,"score":0.5210342407226562},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5132339000701904},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.4587952792644501},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40128588676452637},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.39289379119873047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34665751457214355},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2359769344329834},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22428849339485168},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.22099635004997253},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.18330463767051697},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10699361562728882},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.08014285564422607},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07538670301437378},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7729881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320336006","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1775626196","https://openalex.org/W1965284684","https://openalex.org/W2020112655","https://openalex.org/W2030864384","https://openalex.org/W2055718260","https://openalex.org/W2092141993","https://openalex.org/W2117002000","https://openalex.org/W2117996123","https://openalex.org/W6641591264"],"related_works":["https://openalex.org/W114760076","https://openalex.org/W1989643030","https://openalex.org/W2984333088","https://openalex.org/W3192727092","https://openalex.org/W2902153366","https://openalex.org/W4220696170","https://openalex.org/W2374590780","https://openalex.org/W2898327539","https://openalex.org/W2970140314","https://openalex.org/W2547410645"],"abstract_inverted_index":{"Natural":[0],"disasters":[1],"or":[2,16],"human":[3],"activities,":[4],"such":[5],"as":[6],"forest":[7],"fire,":[8],"flood,":[9],"and":[10],"deforestation,":[11],"may":[12],"lead":[13],"to":[14,45],"anomaly":[15,70,91,101],"disturbance":[17],"of":[18,23,31,48,80,87],"land":[19,32],"cover.":[20],"Continuous":[21],"detection":[22,71,92],"anomalies":[24,57],"is":[25],"important":[26],"for":[27,42,68,89,98],"studying":[28],"spatial-temporal":[29,100],"processes":[30],"cover":[33],"changes.":[34],"Although":[35],"many":[36],"time-series-analysis":[37],"methods":[38,52],"have":[39],"been":[40],"developed":[41],"change":[43],"detection,":[44],"the":[46],"best":[47],"our":[49],"knowledge,":[50],"few":[51],"focus":[53],"on":[54,78],"continuously":[55],"detecting":[56,99],"in":[58,72],"satellite":[59,73],"image":[60,74],"time":[61,75],"series.":[62],"This":[63],"study":[64],"proposes":[65],"a":[66],"method":[67],"continuous":[69,90],"series":[76],"based":[77],"Z-scores":[79],"Season-Trend":[81],"model":[82],"Residuals":[83],"(ZSTR).":[84],"The":[85],"ability":[86],"ZSTR":[88],"was":[93],"validated":[94],"with":[95],"an":[96],"experiment":[97],"regions":[102],"caused":[103],"by":[104],"severe":[105],"flooding.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
