{"id":"https://openalex.org/W3212886268","doi":"https://doi.org/10.1109/lgrs.2021.3127964","title":"Change Detection Approach for SAR Imagery Based on Arc-Tangential Difference Image and <i>k</i> -Means++","display_name":"Change Detection Approach for SAR Imagery Based on Arc-Tangential Difference Image and <i>k</i> -Means++","publication_year":2021,"publication_date":"2021-11-15","ids":{"openalex":"https://openalex.org/W3212886268","doi":"https://doi.org/10.1109/lgrs.2021.3127964","mag":"3212886268"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3127964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3127964","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5056069482","display_name":"\u00dcmit Haluk Atasever","orcid":"https://orcid.org/0000-0002-3011-9868"},"institutions":[{"id":"https://openalex.org/I87673952","display_name":"Erciyes University","ror":"https://ror.org/047g8vk19","country_code":"TR","type":"education","lineage":["https://openalex.org/I87673952"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Umit Haluk Atasever","raw_affiliation_strings":["Department of Geomatics Engineering, Erciyes University, Kayseri, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-3011-9868","affiliations":[{"raw_affiliation_string":"Department of Geomatics Engineering, Erciyes University, Kayseri, Turkey","institution_ids":["https://openalex.org/I87673952"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032282250","display_name":"Mehmet Ak\u0131f G\u00fcnen","orcid":"https://orcid.org/0000-0001-5164-375X"},"institutions":[{"id":"https://openalex.org/I87673952","display_name":"Erciyes University","ror":"https://ror.org/047g8vk19","country_code":"TR","type":"education","lineage":["https://openalex.org/I87673952"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet Akif Gunen","raw_affiliation_strings":["Department of Geomatics Engineering, Erciyes University, Kayseri, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-5164-375X","affiliations":[{"raw_affiliation_string":"Department of Geomatics Engineering, Erciyes University, Kayseri, Turkey","institution_ids":["https://openalex.org/I87673952"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056069482"],"corresponding_institution_ids":["https://openalex.org/I87673952"],"apc_list":null,"apc_paid":null,"fwci":2.1482,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.88856566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9771999716758728,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9611999988555908,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6189347505569458},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6015896797180176},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.5415239334106445},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5361179709434509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5350365042686462},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5184892416000366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.492076575756073},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.49076709151268005},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4623938798904419},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4229589104652405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40740731358528137},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.386793315410614},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35583633184432983},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.28531673550605774},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.18121850490570068},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1338263750076294}],"concepts":[{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6189347505569458},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6015896797180176},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.5415239334106445},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5361179709434509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5350365042686462},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5184892416000366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.492076575756073},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.49076709151268005},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4623938798904419},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4229589104652405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40740731358528137},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.386793315410614},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35583633184432983},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.28531673550605774},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.18121850490570068},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1338263750076294},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2021.3127964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3127964","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1963994432","https://openalex.org/W1964967908","https://openalex.org/W1965126626","https://openalex.org/W1997534118","https://openalex.org/W1998866072","https://openalex.org/W2034073840","https://openalex.org/W2043734872","https://openalex.org/W2063697188","https://openalex.org/W2087828778","https://openalex.org/W2090822373","https://openalex.org/W2106052468","https://openalex.org/W2127403029","https://openalex.org/W2130020884","https://openalex.org/W2144552105","https://openalex.org/W2150178004","https://openalex.org/W2160344738","https://openalex.org/W2342881418","https://openalex.org/W2463238921","https://openalex.org/W2735968258","https://openalex.org/W2921635783","https://openalex.org/W2927400167","https://openalex.org/W2942820131","https://openalex.org/W2946535694","https://openalex.org/W2951830010","https://openalex.org/W2990228562","https://openalex.org/W2995790154","https://openalex.org/W3008767742","https://openalex.org/W3015287366","https://openalex.org/W3033815121","https://openalex.org/W3041714401","https://openalex.org/W3073259122","https://openalex.org/W3094671191","https://openalex.org/W6719124172","https://openalex.org/W6772140587"],"related_works":["https://openalex.org/W2188430267","https://openalex.org/W2610698896","https://openalex.org/W2369265144","https://openalex.org/W1575672096","https://openalex.org/W2161219919","https://openalex.org/W28439884","https://openalex.org/W2753866198","https://openalex.org/W2798919479","https://openalex.org/W1731719754","https://openalex.org/W2014666842"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"an":[3],"unsupervised":[4],"change":[5],"detection":[6],"(CD)":[7],"approach":[8],"based":[9],"on":[10],"arc-tangential":[11,62],"difference":[12,49],"and":[13,76,121,139,151],"<inline-formula":[14,112],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[15,113],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[16,114],"<tex-math":[17,115],"notation=\"LaTeX\">$k$":[18,116],"</tex-math></inline-formula>":[19,117],"-Means++":[20],"clustering":[21,123],"is":[22,52,69,127,148],"presented":[23],"for":[24,84,90],"synthetic":[25],"aperture":[26],"radar":[27],"(SAR)":[28],"remote-sensing":[29],"images.":[30,47],"The":[31,48,92],"images":[32,59],"are":[33,82],"first":[34],"standardized":[35],"with":[36],"their":[37],"variance":[38],"values":[39],"using":[40,60,111,133],"a":[41,72,77,119],"logarithmic":[42],"function":[43],"applied":[44],"to":[45,71,98],"multitemporal":[46],"image":[50],"(DI)":[51],"then":[53],"calculated":[54],"by":[55],"subtracting":[56],"the":[57,61,67,86,104,145],"SAR":[58],"subtraction":[63],"operator.":[64],"After":[65],"that,":[66],"DI":[68],"subjected":[70],"2-D":[73,93],"Gaussian":[74,94],"filter":[75,95,106],"median":[78,105],"filter,":[79],"respectively.":[80],"Filters":[81],"essential":[83],"determining":[85],"best":[87],"feature":[88],"space":[89],"CD.":[91],"smooths":[96],"DIs":[97],"retain":[99],"local":[100],"area":[101],"consistency,":[102],"while":[103],"handles":[107],"edge":[108],"information.":[109],"Finally,":[110],"-Means++,":[118],"quick":[120],"efficient":[122],"approach,":[124],"filtered":[125],"data":[126],"clustered":[128],"into":[129],"two":[130],"classes.":[131],"Experiments":[132],"real-world":[134],"datasets":[135],"in":[136],"Bern,":[137],"Ottawa,":[138],"Yellow":[140],"River":[141],"have":[142],"demonstrated":[143],"that":[144],"given":[146],"technique":[147],"fast,":[149],"successful,":[150],"effective.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}