{"id":"https://openalex.org/W2166875305","doi":"https://doi.org/10.1109/igarss.2010.5651416","title":"Change detection for earthquake damage assessment in built-up areas using very high resolution optical and SAR imagery","display_name":"Change detection for earthquake damage assessment in built-up areas using very high resolution optical and SAR imagery","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2166875305","doi":"https://doi.org/10.1109/igarss.2010.5651416","mag":"2166875305"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2010.5651416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2010.5651416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Geoscience and Remote Sensing Symposium","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/A5021210667","display_name":"Dominik Brunner","orcid":"https://orcid.org/0000-0002-4007-6902"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Dominik Brunner","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006095323","display_name":"Lorenzo Bruzzone","orcid":"https://orcid.org/0000-0002-6036-459X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Bruzzone","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088924899","display_name":"Guido Lemoine","orcid":"https://orcid.org/0000-0002-2734-4538"},"institutions":[{"id":"https://openalex.org/I4210118689","display_name":"Joint Research Centre","ror":"https://ror.org/02qezmz13","country_code":"IT","type":"government","lineage":["https://openalex.org/I1320481043","https://openalex.org/I2800387288","https://openalex.org/I4210118689","https://openalex.org/I4210161702"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Guido Lemoine","raw_affiliation_strings":["Institute of the Protection and Security of the Citizen, Joint Research Centre European Commission, Ispra Varese, Italy"],"affiliations":[{"raw_affiliation_string":"Institute of the Protection and Security of the Citizen, Joint Research Centre European Commission, Ispra Varese, Italy","institution_ids":["https://openalex.org/I4210118689"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021210667"],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":1.6041,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.86974454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3210","last_page":"3213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9943000078201294,"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/T12424","display_name":"Earthquake Detection and Analysis","score":0.9761000275611877,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"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/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7941393852233887},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5924075841903687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5806328058242798},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5776296257972717},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5051503777503967},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4717325270175934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4659807085990906},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.45038676261901855},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4121784567832947},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38528972864151},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3654544949531555}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7941393852233887},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5924075841903687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5806328058242798},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5776296257972717},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5051503777503967},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4717325270175934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4659807085990906},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.45038676261901855},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4121784567832947},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38528972864151},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3654544949531555},{"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":2,"locations":[{"id":"doi:10.1109/igarss.2010.5651416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2010.5651416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unitn.it:11572/85876","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/85876","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8100000023841858,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1981367467","https://openalex.org/W1985690171","https://openalex.org/W2029155094","https://openalex.org/W2135228726","https://openalex.org/W2160544350","https://openalex.org/W2166052353"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W1544811710","https://openalex.org/W2124951708","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2903740016","https://openalex.org/W4389236492"],"abstract_inverted_index":{"Information":[0],"on":[1],"the":[2,24,32,70,74,77,80,87,98,120,123,141,151],"impact":[3],"of":[4,69,76,79,122,140,143],"catastrophic":[5],"events":[6],"(e.g.":[7],"earthquakes)":[8],"can":[9],"be":[10],"derived":[11],"from":[12,19],"suitable":[13],"satellite":[14],"imagery":[15,28],"by":[16],"comparing":[17],"data":[18,136],"a":[20,40,94,107,113,138],"chosen":[21],"reference":[22],"before":[23],"event":[25,33],"(pre-event)":[26],"to":[27,97],"acquired":[29],"shortly":[30],"after":[31],"(post-event).":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"propose":[39],"novel":[41],"method":[42,72,125],"that":[43],"detects":[44],"buildings":[45],"destroyed":[46],"in":[47,86,112,150],"an":[48],"earthquake":[49],"using":[50,126],"pre-event":[51],"very":[52],"high":[53],"resolution":[54],"(VHR)":[55],"multispectral":[56],"and":[57,129],"post-event":[58,88],"detected":[59],"VHR":[60,127,134],"synthetic":[61],"aperture":[62],"radar":[63],"(SAR)":[64],"imagery.":[65],"The":[66,91],"core":[67],"concept":[68],"proposed":[71,124],"is":[73,104],"evaluation":[75],"presence":[78],"predicted":[81],"undamaged":[82,101],"building":[83,95,102],"SAR":[84,89],"signature":[85],"scene.":[90],"decision":[92],"if":[93],"belongs":[96],"damaged":[99,149],"or":[100,115],"class":[103],"performed":[105],"with":[106],"Bayesian":[108],"classifier,":[109],"trained":[110],"either":[111],"supervised":[114],"unsupervised":[116],"manner.":[117],"We":[118],"show":[119],"results":[121],"TerraSAR-X":[128],"COSMO-SkyMed,":[130],"as":[131,133],"well":[132],"optical":[135],"for":[137],"subset":[139],"town":[142],"Yingxiu,":[144],"China,":[145],"which":[146],"was":[147],"heavily":[148],"2008":[152],"Sichuan":[153],"earthquake.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}