{"id":"https://openalex.org/W3207952624","doi":"https://doi.org/10.1109/igarss47720.2021.9555107","title":"Blue Noise Sampling and Nystrom Extension for Graph Based Change Detection","display_name":"Blue Noise Sampling and Nystrom Extension for Graph Based Change Detection","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207952624","doi":"https://doi.org/10.1109/igarss47720.2021.9555107","mag":"3207952624"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9555107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9555107","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":"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/A5101580789","display_name":"David Alejandro Jimenez-Sierra","orcid":"https://orcid.org/0000-0002-5403-9547"},"institutions":[{"id":"https://openalex.org/I233745408","display_name":"Pontificia Universidad Javeriana","ror":"https://ror.org/03etyjw28","country_code":"CO","type":"education","lineage":["https://openalex.org/I233745408"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"David Alejandro Jimenez-Sierra","raw_affiliation_strings":["Pontificia Universidad Javeriana Cali"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontificia Universidad Javeriana Cali","institution_ids":["https://openalex.org/I233745408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077419485","display_name":"Hern\u00e1n Dar\u00edo Ben\u00edtez-Restrepo","orcid":"https://orcid.org/0000-0002-2661-8867"},"institutions":[{"id":"https://openalex.org/I233745408","display_name":"Pontificia Universidad Javeriana","ror":"https://ror.org/03etyjw28","country_code":"CO","type":"education","lineage":["https://openalex.org/I233745408"]}],"countries":["CO"],"is_corresponding":false,"raw_author_name":"Hernan Dario Benitez-Restrepo","raw_affiliation_strings":["Pontificia Universidad Javeriana Cali"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontificia Universidad Javeriana Cali","institution_ids":["https://openalex.org/I233745408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005357824","display_name":"Gonzalo R. Arce","orcid":"https://orcid.org/0000-0001-7163-7111"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gonzalo R. Arce","raw_affiliation_strings":["Multimodal Imaging and Spectroscopy Laboratory, University of Delaware"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimodal Imaging and Spectroscopy Laboratory, University of Delaware","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081438652","display_name":"Juan F. Florez-Ospina","orcid":"https://orcid.org/0000-0001-5971-9042"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juan F. Florez-Ospina","raw_affiliation_strings":["Multimodal Imaging and Spectroscopy Laboratory, University of Delaware"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multimodal Imaging and Spectroscopy Laboratory, University of Delaware","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2531,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60227744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"2895","last_page":"2898"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.9994999766349792,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9625999927520752,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.760098934173584},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.651211678981781},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6320708394050598},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5753389596939087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5487825870513916},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5477015376091003},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5193246603012085},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.45646965503692627},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45642656087875366},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4523736238479614},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4325818121433258},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3512604236602783},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3148375153541565},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1415463387966156},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1362663209438324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.760098934173584},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.651211678981781},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6320708394050598},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5753389596939087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5487825870513916},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5477015376091003},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5193246603012085},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.45646965503692627},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45642656087875366},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4523736238479614},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4325818121433258},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3512604236602783},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3148375153541565},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1415463387966156},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1362663209438324},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9555107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9555107","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":0.46000000834465027,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G8697027269","display_name":null,"funder_award_id":"FP44842-217-2018","funder_id":"https://openalex.org/F4320328732","funder_display_name":"Instituto Colombiano de Cr\u00e9dito Educativo y Estudios T\u00e9cnicos en el Exterior"}],"funders":[{"id":"https://openalex.org/F4320307855","display_name":"World Bank Group","ror":"https://ror.org/00ae7jd04"},{"id":"https://openalex.org/F4320321784","display_name":"Kementerian Sains, Teknologi dan Inovasi","ror":"https://ror.org/012s3r374"},{"id":"https://openalex.org/F4320328732","display_name":"Instituto Colombiano de Cr\u00e9dito Educativo y Estudios T\u00e9cnicos en el Exterior","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1583106483","https://openalex.org/W2116810533","https://openalex.org/W2141566892","https://openalex.org/W2210387432","https://openalex.org/W2765944436","https://openalex.org/W2767043538","https://openalex.org/W2897552941","https://openalex.org/W2919099581","https://openalex.org/W2940726923","https://openalex.org/W2949991997","https://openalex.org/W2963384510","https://openalex.org/W2963549694","https://openalex.org/W2968065858","https://openalex.org/W2969081030","https://openalex.org/W3035497236","https://openalex.org/W3080080349","https://openalex.org/W3087861062","https://openalex.org/W3095079835","https://openalex.org/W3100282875","https://openalex.org/W3105578499","https://openalex.org/W6746041257"],"related_works":["https://openalex.org/W2075768550","https://openalex.org/W2568858292","https://openalex.org/W3022218857","https://openalex.org/W1515964938","https://openalex.org/W2369178846","https://openalex.org/W2082716031","https://openalex.org/W2389381914","https://openalex.org/W2370289839","https://openalex.org/W3205829146","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"address":[4],"the":[5,34,39,45,48,58,61,68],"problem":[6],"of":[7,33,41,50,57,63,80],"sampling":[8,65,94],"on":[9],"graphs":[10],"for":[11,53,105],"change":[12,69,103],"detection":[13,70,104],"in":[14,67,76,102],"large":[15],"multi-spectral":[16],"(MS)":[17],"and":[18],"synthetic":[19],"aperture":[20],"radar":[21],"(SAR)":[22],"images":[23],"by":[24],"proposing":[25],"a":[26,55,92],"graph-based":[27],"data-driven":[28],"framework.":[29],"The":[30,87],"main":[31],"steps":[32],"proposed":[35],"approach":[36,75],"are:":[37],"(i)":[38],"segmentation":[40],"regions":[42],"that":[43,90],"enclose":[44],"change;":[46],"(ii)":[47],"use":[49],"smoothness":[51],"prior":[52],"learning":[54],"graph":[56],"regions;":[59],"(iii)":[60],"integration":[62],"blue-noise":[64],"(BN)":[66],"scheme.":[71],"We":[72],"validate":[73],"our":[74],"14":[77],"real":[78],"cases":[79],"remote":[81],"sensing":[82],"according":[83],"to":[84],"quantitative":[85],"analyses.":[86],"results":[88],"confirm":[89],"using":[91],"structured":[93],"such":[95],"as":[96],"BN":[97],"outperforms":[98],"recent":[99],"state-of-the-art":[100],"methods":[101],"multimodal":[106],"data.":[107]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}