{"id":"https://openalex.org/W4387802536","doi":"https://doi.org/10.1109/igarss52108.2023.10281553","title":"Semantic Segmentation and Recognition of Temporal Patterns in Urban SAR Sequences","display_name":"Semantic Segmentation and Recognition of Temporal Patterns in Urban SAR Sequences","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387802536","doi":"https://doi.org/10.1109/igarss52108.2023.10281553"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10281553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10281553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 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/A5003839600","display_name":"M. Che","orcid":"https://orcid.org/0000-0002-6388-1744"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"M. Che","raw_affiliation_strings":["Nantong University,P.R. China","Nantong University, P.R. China"],"affiliations":[{"raw_affiliation_string":"Nantong University,P.R. China","institution_ids":["https://openalex.org/I199305430"]},{"raw_affiliation_string":"Nantong University, P.R. China","institution_ids":["https://openalex.org/I199305430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004977749","display_name":"Anna Vizziello","orcid":"https://orcid.org/0000-0002-6378-141X"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A. Vizziello","raw_affiliation_strings":["University of Pavia,Italy","University of Pavia, Italy"],"affiliations":[{"raw_affiliation_string":"University of Pavia,Italy","institution_ids":["https://openalex.org/I25217355"]},{"raw_affiliation_string":"University of Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006623289","display_name":"Paolo Gamba","orcid":"https://orcid.org/0000-0002-9576-6337"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"P. Gamba","raw_affiliation_strings":["University of Pavia,Italy","University of Pavia, Italy"],"affiliations":[{"raw_affiliation_string":"University of Pavia,Italy","institution_ids":["https://openalex.org/I25217355"]},{"raw_affiliation_string":"University of Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003839600"],"corresponding_institution_ids":["https://openalex.org/I199305430"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14057708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6878","last_page":"6881"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9944000244140625,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9944000244140625,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9939000010490417,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9714000225067139,"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7553801536560059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7475497722625732},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7213749289512634},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.591688871383667},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5899276733398438},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5170958042144775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.507853090763092},{"id":"https://openalex.org/keywords/urbanization","display_name":"Urbanization","score":0.4823884069919586},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43492811918258667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41616371273994446},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3340577781200409},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08364677429199219}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7553801536560059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7475497722625732},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7213749289512634},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.591688871383667},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5899276733398438},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5170958042144775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.507853090763092},{"id":"https://openalex.org/C39853841","wikidata":"https://www.wikidata.org/wiki/Q161078","display_name":"Urbanization","level":2,"score":0.4823884069919586},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43492811918258667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41616371273994446},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3340577781200409},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08364677429199219},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10281553","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10281553","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2512520488","https://openalex.org/W2620612803","https://openalex.org/W2783305840","https://openalex.org/W2799406003","https://openalex.org/W2891557380","https://openalex.org/W2981654920","https://openalex.org/W3001417454","https://openalex.org/W3185818605","https://openalex.org/W3196108668","https://openalex.org/W4285032453","https://openalex.org/W4293812263","https://openalex.org/W4297814361","https://openalex.org/W6720514713","https://openalex.org/W6767290199","https://openalex.org/W6839718347"],"related_works":["https://openalex.org/W2392907783","https://openalex.org/W1985072978","https://openalex.org/W891751532","https://openalex.org/W2375489112","https://openalex.org/W2370838374","https://openalex.org/W2354222596","https://openalex.org/W2348837382","https://openalex.org/W2392291083","https://openalex.org/W2353135038","https://openalex.org/W2381059267"],"abstract_inverted_index":{"Unlike":[0],"periodic":[1],"changes":[2],"in":[3,17,49,99],"natural":[4],"cover,":[5],"urban":[6,31,74,87],"construction":[7,89],"activities":[8,76,90],"caused":[9],"by":[10,37,91,112],"urbanization":[11],"show":[12],"a":[13,113],"distinctly":[14],"non-periodic":[15],"pattern":[16],"time.":[18],"It":[19],"is":[20,59],"desirable":[21],"to":[22,28,60],"capture":[23],"and":[24,65,69],"recognize":[25],"these":[26],"changes,":[27],"timely":[29],"update":[30],"information":[32],"databases":[33],"among":[34,106],"the":[35,56],"others,":[36],"utilizing":[38],"high-frequency":[39],"observation":[40],"of":[41,85,109],"optical":[42],"sensors":[43],"or":[44],"synthetic":[45],"aperture":[46],"radar":[47],"(SAR)":[48],"an":[50],"automatic":[51],"way.":[52],"To":[53],"this":[54,100],"aim,":[55],"primary":[57],"task":[58],"segment":[61],"long":[62],"time":[63,71,95],"sequences":[64],"distinguish":[66],"between":[67],"changing":[68],"non-changing":[70],"segments.":[72],"Unfortunately,":[73],"building":[75,88],"have":[77],"different":[78,110],"durations.":[79],"Following":[80],"up":[81],"our":[82],"previous":[83],"work":[84],"monitoring":[86],"using":[92],"SAR":[93],"coherent":[94],"series":[96],"data":[97],"[6],":[98],"paper":[101],"we":[102],"focus":[103],"on":[104,119],"distinguishing":[105],"changed":[107],"segments":[108],"duration":[111],"proposed":[114],"semantic":[115],"segmentation":[116],"method":[117],"based":[118],"LSTM":[120],"autoencoders.":[121]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}