{"id":"https://openalex.org/W3207402263","doi":"https://doi.org/10.1109/igarss47720.2021.9553400","title":"Convolutional Autoencoder-Based Image Reconstruction for Unsupervised Multimodal Change Detection","display_name":"Convolutional Autoencoder-Based Image Reconstruction for Unsupervised Multimodal Change Detection","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207402263","doi":"https://doi.org/10.1109/igarss47720.2021.9553400","mag":"3207402263"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091483225","display_name":"Anamaria R\u0103doi","orcid":"https://orcid.org/0000-0002-7577-1067"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Anamaria Radoi","raw_affiliation_strings":["University Politehnica of Bucharest"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Politehnica of Bucharest","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5091483225"],"corresponding_institution_ids":["https://openalex.org/I61641377"],"apc_list":null,"apc_paid":null,"fwci":0.3625,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53310966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"4372","last_page":"4375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9896000027656555,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8045464754104614},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7674545049667358},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7379602193832397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6958568096160889},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5981010794639587},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5178459286689758},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4954010248184204},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.49482864141464233},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.493464857339859},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4789184331893921},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.46559983491897583},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4204394817352295},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2915482521057129}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8045464754104614},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7674545049667358},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7379602193832397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6958568096160889},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5981010794639587},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5178459286689758},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4954010248184204},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.49482864141464233},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.493464857339859},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4789184331893921},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.46559983491897583},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4204394817352295},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2915482521057129},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7599999904632568,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G6033938949","display_name":null,"funder_award_id":"PN-III-P1-1.1-PD-2019-0843","funder_id":"https://openalex.org/F4320308292","funder_display_name":"Corporation for National and Community Service"}],"funders":[{"id":"https://openalex.org/F4320308292","display_name":"Corporation for National and Community Service","ror":"https://ror.org/00p8rjs69"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2037693374","https://openalex.org/W2160544350","https://openalex.org/W2295862745","https://openalex.org/W2510850936","https://openalex.org/W2564140372","https://openalex.org/W2779571083","https://openalex.org/W2892203832","https://openalex.org/W2964121744","https://openalex.org/W2968065858","https://openalex.org/W2969081030","https://openalex.org/W2970302645","https://openalex.org/W3017092406","https://openalex.org/W3022569728","https://openalex.org/W3105578499","https://openalex.org/W4287814820","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W3134637941","https://openalex.org/W4287995534","https://openalex.org/W2998168123","https://openalex.org/W4220775285","https://openalex.org/W2776466379","https://openalex.org/W2897995864","https://openalex.org/W4285311804","https://openalex.org/W3199009818","https://openalex.org/W2802871001","https://openalex.org/W3207402263"],"abstract_inverted_index":{"Due":[0],"to":[1,23,78],"the":[2,6,14,21,48,56,59,92,111,114,117],"numerous":[3],"technological":[4],"developments,":[5],"last":[7],"years":[8],"have":[9],"witnessed":[10],"an":[11],"increase":[12],"in":[13,47,58,120],"diversity":[15],"of":[16,67,72,84,86,116,126],"remote":[17,26,103],"sensing":[18,27,104],"data,":[19],"whereas":[20],"need":[22],"interpret":[24],"multimodal":[25,37],"data":[28],"emerged.":[29],"In":[30,76],"this":[31,80],"article,":[32],"we":[33],"propose":[34],"a":[35,44,53,82],"new":[36],"unsupervised":[38],"change":[39],"detection":[40],"strategy":[41],"that":[42],"projects":[43],"pre-event":[45,60,93],"image":[46,94],"post-event":[49,68],"imaging":[50],"modality.":[51],"From":[52],"reconstruction":[54],"perspective,":[55],"blocks":[57,69,88],"scene":[61],"are":[62],"rebuilt":[63],"from":[64,91],"denoised":[65],"versions":[66],"by":[70,95,107],"means":[71],"convolutional":[73],"denoising":[74],"autoencoders.":[75],"order":[77],"perform":[79],"reconstruction,":[81],"dictionary":[83],"locations":[85],"similar":[87],"is":[89],"learned":[90],"analyzing":[96],"compressed":[97],"representations.":[98],"The":[99],"experiments,":[100],"conducted":[101],"over":[102],"images":[105],"acquired":[106],"different":[108],"sensors,":[109],"show":[110],"effectiveness":[112],"and":[113],"reliability":[115],"proposed":[118],"approach":[119],"various":[121],"scenarios":[122],"reflecting":[123],"diverse":[124],"types":[125],"changes.":[127]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}