{"id":"https://openalex.org/W2007089233","doi":"https://doi.org/10.1109/igarss.2014.6946634","title":"Detecting settlement expansion using hyper-temporal SAR time-series","display_name":"Detecting settlement expansion using hyper-temporal SAR time-series","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2007089233","doi":"https://doi.org/10.1109/igarss.2014.6946634","mag":"2007089233"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2014.6946634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Detecting_settlement_expansion_using_hyper-temporal_SAR_time-series/23092934","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031004986","display_name":"W. Kleynhans","orcid":"https://orcid.org/0000-0002-7046-7023"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"W. Kleynhans","raw_affiliation_strings":["Department of Electrical, Electronic and Computer Engineering, University of Pretoria, South Africa","Remote Sensing Research Unit, CSIR, Pretoria, South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical, Electronic and Computer Engineering, University of Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]},{"raw_affiliation_string":"Remote Sensing Research Unit, CSIR, Pretoria, South Africa","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014524509","display_name":"B.P. Salmon","orcid":"https://orcid.org/0000-0001-5722-3414"},"institutions":[{"id":"https://openalex.org/I129801699","display_name":"University of Tasmania","ror":"https://ror.org/01nfmeh72","country_code":"AU","type":"education","lineage":["https://openalex.org/I129801699"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"B. P. Salmon","raw_affiliation_strings":["Remote Sensing Research Unit, CSIR, Pretoria, South Africa","School of Engineering, University of Tasmania, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Research Unit, CSIR, Pretoria, South Africa","institution_ids":[]},{"raw_affiliation_string":"School of Engineering, University of Tasmania, Australia","institution_ids":["https://openalex.org/I129801699"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5135,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55037187,"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":"1152","last_page":"1155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9966999888420105,"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":0.9966999888420105,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9595000147819519,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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":0.9469000101089478,"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":0.7166752219200134},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6100873947143555},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5883293151855469},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.5856726169586182},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5793136954307556},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5745859146118164},{"id":"https://openalex.org/keywords/temporal-resolution","display_name":"Temporal resolution","score":0.5424883961677551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.527606725692749},{"id":"https://openalex.org/keywords/human-settlement","display_name":"Human settlement","score":0.5156968235969543},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5018951892852783},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4869557321071625},{"id":"https://openalex.org/keywords/settlement","display_name":"Settlement (finance)","score":0.4678410291671753},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4428150951862335},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.28522789478302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2375355064868927},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19115006923675537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08966630697250366},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06498545408248901},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.06325230002403259}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.7166752219200134},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6100873947143555},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5883293151855469},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.5856726169586182},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5793136954307556},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5745859146118164},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.5424883961677551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.527606725692749},{"id":"https://openalex.org/C16678853","wikidata":"https://www.wikidata.org/wiki/Q486972","display_name":"Human settlement","level":2,"score":0.5156968235969543},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5018951892852783},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4869557321071625},{"id":"https://openalex.org/C2777063073","wikidata":"https://www.wikidata.org/wiki/Q1553237","display_name":"Settlement (finance)","level":3,"score":0.4678410291671753},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4428150951862335},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.28522789478302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2375355064868927},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19115006923675537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08966630697250366},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06498545408248901},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.06325230002403259},{"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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":3,"locations":[{"id":"doi:10.1109/igarss.2014.6946634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:ecite.utas.edu.au:92401","is_oa":false,"landing_page_url":"http://ecite.utas.edu.au/92401","pdf_url":null,"source":{"id":"https://openalex.org/S4306401569","display_name":"eCite Digital Repository (University of Tasmania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I129801699","host_organization_name":"University of Tasmania","host_organization_lineage":["https://openalex.org/I129801699"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Refereed Conference Paper"},{"id":"pmh:oai:figshare.com:article/23092934","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Detecting_settlement_expansion_using_hyper-temporal_SAR_time-series/23092934","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/23092934","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Detecting_settlement_expansion_using_hyper-temporal_SAR_time-series/23092934","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference contribution"},"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1980553282","https://openalex.org/W2047192490","https://openalex.org/W2064233390","https://openalex.org/W2073876166","https://openalex.org/W2081681474","https://openalex.org/W2105514275","https://openalex.org/W2137392417"],"related_works":["https://openalex.org/W2972509471","https://openalex.org/W747394405","https://openalex.org/W2364895548","https://openalex.org/W1987236514","https://openalex.org/W174653542","https://openalex.org/W2356402638","https://openalex.org/W2381153750","https://openalex.org/W2365264745","https://openalex.org/W2041235277","https://openalex.org/W2353867112"],"abstract_inverted_index":{"The":[0],"detection":[1,59,91,115],"of":[2,24,27,52,60,120,127],"new":[3,61,81],"informal":[4,62],"settlements":[5,63,82],"in":[6,36,117],"South":[7],"Africa":[8],"using":[9,32,53,87],"time-series":[10],"data":[11,35,44,56,100,108],"derived":[12],"from":[13],"coarse":[14],"resolution":[15],"satellite":[16,34],"imagery":[17],"has":[18],"recently":[19],"been":[20],"an":[21,88],"active":[22],"area":[23,40],"research.":[25],"Most":[26],"the":[28,50,58,72,118],"previous":[29],"methods":[30],"presented":[31],"hyper-temporal":[33,54,106],"this":[37,48],"particular":[38],"study":[39],"relied":[41],"on":[42,98],"optical":[43,99],"as":[45,109],"input.":[46,110],"In":[47],"paper,":[49],"feasibility":[51],"SAR":[55,107],"for":[57],"was":[64,78,94],"investigated.":[65],"Using":[66],"numerous":[67],"ENVISAT":[68],"ASAR":[69],"images":[70],"during":[71],"period":[73],"2005/01":[74],"to":[75,104],"2011/01,":[76],"it":[77],"shown":[79],"that":[80],"could":[83],"effectively":[84],"be":[85],"detected":[86],"autocorrelation":[89],"change":[90,114],"approach":[92],"which":[93],"previously":[95],"only":[96],"tested":[97],"and":[101],"subsequently":[102],"adapted":[103],"use":[105],"Preliminary":[111],"results":[112],"indicate":[113],"accuracies":[116],"order":[119],"85%":[121],"at":[122],"a":[123],"false":[124],"alarm":[125],"rate":[126],"less":[128],"than":[129],"1%.":[130]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}