{"id":"https://openalex.org/W4387802546","doi":"https://doi.org/10.1109/igarss52108.2023.10282667","title":"A Multi-Feature Hyper-Temporal Change Vector Analysis Method for Change Detection in Multi-Annual Time Series of HR Satellite Images","display_name":"A Multi-Feature Hyper-Temporal Change Vector Analysis Method for Change Detection in Multi-Annual Time Series of HR Satellite Images","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387802546","doi":"https://doi.org/10.1109/igarss52108.2023.10282667"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282667","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282667","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/A5006388126","display_name":"Khatereh Meshkini","orcid":"https://orcid.org/0000-0003-2454-3379"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Khatereh Meshkini","raw_affiliation_strings":["Center for Digital Society,Fondazione Bruno Kessler,Trento,Italy","Fondazione Bruno Kessler, Center for Digital Society, Trento, Italy","Dept. of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Center for Digital Society,Fondazione Bruno Kessler,Trento,Italy","institution_ids":["https://openalex.org/I2277624104"]},{"raw_affiliation_string":"Fondazione Bruno Kessler, Center for Digital Society, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]},{"raw_affiliation_string":"Dept. of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087668203","display_name":"Francesca Bovolo","orcid":"https://orcid.org/0000-0003-3104-7656"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Bovolo","raw_affiliation_strings":["Center for Digital Society,Fondazione Bruno Kessler,Trento,Italy","Fondazione Bruno Kessler, Center for Digital Society, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Center for Digital Society,Fondazione Bruno Kessler,Trento,Italy","institution_ids":["https://openalex.org/I2277624104"]},{"raw_affiliation_string":"Fondazione Bruno Kessler, Center for Digital Society, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006095323","display_name":"Lorenzo Bruzzone","orcid":"https://orcid.org/0000-0002-6036-459X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Bruzzone","raw_affiliation_strings":["University of Trento,Dept. of Information Engineering and Computer Science,Trento,Italy","Dept. of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento,Dept. of Information Engineering and Computer Science,Trento,Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"Dept. of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006388126"],"corresponding_institution_ids":["https://openalex.org/I193223587","https://openalex.org/I2277624104"],"apc_list":null,"apc_paid":null,"fwci":0.9762,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79222812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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":0.9970999956130981,"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":0.9970999956130981,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.984000027179718,"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":0.9836999773979187,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.7138628959655762},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6658461093902588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6649898290634155},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6224312782287598},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6123069524765015},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6101944446563721},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5578967928886414},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5412272214889526},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4769631624221802},{"id":"https://openalex.org/keywords/temporal-resolution","display_name":"Temporal resolution","score":0.4644038677215576},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45718783140182495},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.45081883668899536},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.412958025932312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3927900791168213},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15384703874588013},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09949436783790588},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07020202279090881},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.059551775455474854}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.7138628959655762},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6658461093902588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6649898290634155},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6224312782287598},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6123069524765015},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6101944446563721},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5578967928886414},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5412272214889526},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4769631624221802},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.4644038677215576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45718783140182495},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.45081883668899536},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.412958025932312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3927900791168213},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15384703874588013},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09949436783790588},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07020202279090881},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.059551775455474854},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss52108.2023.10282667","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282667","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"},{"id":"pmh:oai:iris.unitn.it:11572/395349","is_oa":false,"landing_page_url":"https://hdl.handle.net/11572/395349","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1536057856","https://openalex.org/W2091695913","https://openalex.org/W2118116484","https://openalex.org/W2118364838","https://openalex.org/W2161336494","https://openalex.org/W2944973397","https://openalex.org/W2965689387","https://openalex.org/W4226488356"],"related_works":["https://openalex.org/W4289655544","https://openalex.org/W2044092692","https://openalex.org/W2547665164","https://openalex.org/W3103111272","https://openalex.org/W1966472837","https://openalex.org/W2015273319","https://openalex.org/W2146295552","https://openalex.org/W2071207587","https://openalex.org/W4320807967","https://openalex.org/W2128760873"],"abstract_inverted_index":{"A":[0],"great":[1],"effort":[2],"has":[3],"been":[4],"put":[5],"on":[6,135],"developing":[7],"technologies":[8],"that":[9,41,58],"can":[10],"process":[11,42],"High":[12],"Resolution":[13],"(HR)":[14],"satellite":[15],"datasets":[16],"to":[17,37],"properly":[18],"monitor":[19],"the":[20,62,79,101,117,120,130],"environmental":[21],"changes":[22,57,123],"and":[23,52,55,92,114,119,140],"produce":[24],"long":[25],"term":[26],"Change":[27,109],"Detection":[28],"(CD)":[29],"maps.":[30],"However,":[31],"there":[32],"is":[33,70,133],"still":[34],"a":[35,66,90,106,136],"need":[36],"design":[38],"CD":[39,67],"approaches":[40],"Satellite":[43],"Image":[44],"Time":[45],"Series":[46],"(SITS)":[47],"with":[48],"high":[49],"spatial,":[50],"spectral,":[51],"temporal":[53],"resolution":[54],"describe":[56],"have":[59],"occurred":[60],"between":[61,100],"consecutive":[63,102],"years.":[64],"Here,":[65],"processing":[68],"chain":[69],"proposed":[71,131],"that:":[72],"i)":[73],"extracts":[74],"several":[75],"relevant":[76],"features":[77],"of":[78,82,85,122,129,143],"spectral":[80],"trends":[81],"different":[83],"sets":[84],"LC":[86],"changes,":[87],"ii)":[88],"produces":[89],"regular":[91],"dense":[93],"feature":[94],"time":[95],"series,":[96],"iii)":[97],"analyzes":[98],"differences":[99],"years":[103],"by":[104],"using":[105],"Multi-feature":[107],"Hyper-temporal":[108],"Vector":[110],"Analysis":[111],"(MHCVA)":[112],"technique,":[113],"iv)":[115],"detects":[116],"year":[118],"probability":[121],"at":[124],"pixel":[125],"level.":[126],"The":[127],"effectiveness":[128],"approach":[132],"tested":[134],"multi-annual":[137],"Landsat":[138],"7":[139],"8":[141],"images":[142],"an":[144],"area":[145],"located":[146],"in":[147],"Amazon.":[148]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}