{"id":"https://openalex.org/W2036357120","doi":"https://doi.org/10.1109/lgrs.2012.2196754","title":"Novel Change Detection in SAR Imagery Using Local Connectivity","display_name":"Novel Change Detection in SAR Imagery Using Local Connectivity","publication_year":2012,"publication_date":"2012-06-21","ids":{"openalex":"https://openalex.org/W2036357120","doi":"https://doi.org/10.1109/lgrs.2012.2196754","mag":"2036357120"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2012.2196754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2012.2196754","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/A5059990583","display_name":"Honglin Wan","orcid":"https://orcid.org/0000-0001-7592-8944"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"H. L. Wan","raw_affiliation_strings":["The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003623628","display_name":"Cheolkon Jung","orcid":"https://orcid.org/0000-0003-0299-7206"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. Jung","raw_affiliation_strings":["The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043022387","display_name":"Biao Hou","orcid":"https://orcid.org/0000-0002-1996-186X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Hou","raw_affiliation_strings":["The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007319638","display_name":"George T. Wang","orcid":"https://orcid.org/0000-0001-9007-0173"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"G. T. Wang","raw_affiliation_strings":["The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065337898","display_name":"Qingxin Tang","orcid":"https://orcid.org/0000-0002-5451-0546"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Q. X. Tang","raw_affiliation_strings":["The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":2.5745,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90066379,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","issue":"1","first_page":"174","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"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":0.9997000098228455,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9825000166893005,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9641000032424927,"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":0.905178427696228},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.77418053150177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7379903197288513},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7182027101516724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6702976822853088},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5760725140571594},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5332021117210388},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.4783724844455719},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45935511589050293},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4498641788959503},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3534611165523529},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.21127060055732727},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12044322490692139}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.905178427696228},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.77418053150177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7379903197288513},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7182027101516724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6702976822853088},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5760725140571594},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5332021117210388},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.4783724844455719},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45935511589050293},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4498641788959503},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3534611165523529},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.21127060055732727},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12044322490692139},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2012.2196754","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2012.2196754","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":[{"id":"https://metadata.un.org/sdg/16","score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1973880112","https://openalex.org/W1980541774","https://openalex.org/W2034073840","https://openalex.org/W2057670944","https://openalex.org/W2091231747","https://openalex.org/W2102265725","https://openalex.org/W2110519070","https://openalex.org/W2110967869","https://openalex.org/W2113076747","https://openalex.org/W2137050582","https://openalex.org/W2144552105","https://openalex.org/W2152185773","https://openalex.org/W2156975318","https://openalex.org/W2160544350","https://openalex.org/W2170140722"],"related_works":["https://openalex.org/W2544419624","https://openalex.org/W2460312455","https://openalex.org/W1964120219","https://openalex.org/W2115641108","https://openalex.org/W2082248221","https://openalex.org/W3016017555","https://openalex.org/W2221448138","https://openalex.org/W2128254612","https://openalex.org/W2137102674","https://openalex.org/W807538414"],"abstract_inverted_index":{"Most":[0],"change-detection":[1,32,49,70],"techniques":[2],"in":[3,36],"synthetic":[4],"aperture":[5],"radar":[6],"(SAR)":[7],"imagery":[8],"are":[9],"based":[10],"on":[11,101],"the":[12,15,24,54,57,85,109,113],"analysis":[13],"of":[14,56,93,96],"difference":[16],"image":[17,104],"with":[18,34,53,72],"a":[19,30,47],"pixel-level":[20,25,58],"decision":[21,26,59],"approach.":[22],"However,":[23],"approach":[27,60],"would":[28],"cause":[29],"noisy":[31],"map,":[33],"holes":[35],"connected":[37],"regions":[38],"and":[39,82,91],"jagged":[40],"boundaries.":[41],"In":[42],"this":[43],"letter,":[44],"we":[45],"propose":[46],"novel":[48],"method":[50,111],"to":[51],"deal":[52],"problem":[55],"by":[61],"considering":[62],"local":[63,79,94],"connectivity.":[64],"We":[65],"first":[66],"get":[67],"an":[68,73],"initial":[69,86],"result":[71,87],"improved":[74],"Gustafson\u2013Kessel":[75],"clustering":[76],"algorithm":[77],"using":[78],"spatial":[80],"information":[81],"then":[83],"refine":[84],"through":[88],"region-of-interest":[89],"extraction":[90],"consideration":[92],"connectivity":[95],"changed":[97],"areas.":[98],"Experimental":[99],"results":[100],"real":[102],"SAR":[103],"data":[105],"sets":[106],"demonstrate":[107],"that":[108],"proposed":[110],"outperforms":[112],"related":[114],"ones":[115],"for":[116],"change":[117],"detection.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}