{"id":"https://openalex.org/W2546962890","doi":"https://doi.org/10.1109/igarss.2016.7730914","title":"Building damage information investigation after earthquake using single post-event PolSAR image","display_name":"Building damage information investigation after earthquake using single post-event PolSAR image","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2546962890","doi":"https://doi.org/10.1109/igarss.2016.7730914","mag":"2546962890"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7730914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5004219448","display_name":"Wei Zhai","orcid":"https://orcid.org/0000-0003-2307-5243"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210105580","display_name":"Gansu Meteorological Bureau","ror":"https://ror.org/01e99ef13","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210105580"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Zhai","raw_affiliation_strings":["Chinese Academy of Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Lanzhou, Gansu, China","Gansu Earthquake Administration, Lanzhou, Gansu, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Gansu Earthquake Administration, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I4210105580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114374395","display_name":"Huanfeng Shen","orcid":"https://orcid.org/0000-0002-4140-1869"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan-Feng Shen","raw_affiliation_strings":["School of Resource and Environmental Sciences, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Sciences, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026494699","display_name":"Chunlin Huang","orcid":"https://orcid.org/0000-0002-1366-5170"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun-Lin Huang","raw_affiliation_strings":["Chinese Academy of Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Lanzhou, Gansu, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090939951","display_name":"Wansheng Pei","orcid":"https://orcid.org/0000-0003-3534-6637"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wan-Sheng Pei","raw_affiliation_strings":["Chinese Academy of Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Lanzhou, Gansu, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004219448"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210105580"],"apc_list":null,"apc_paid":null,"fwci":3.8156,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.93246438,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991000294685364,"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":0.9940000176429749,"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/city-block","display_name":"City block","score":0.6573913097381592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5754090547561646},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.43025511503219604},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.425223171710968},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.4217188060283661},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3539586067199707},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19305410981178284},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.1570836901664734},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1336953341960907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13327282667160034}],"concepts":[{"id":"https://openalex.org/C8364947","wikidata":"https://www.wikidata.org/wiki/Q1348006","display_name":"City block","level":2,"score":0.6573913097381592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5754090547561646},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.43025511503219604},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.425223171710968},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4217188060283661},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3539586067199707},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19305410981178284},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.1570836901664734},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1336953341960907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13327282667160034},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7730914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1901886884","https://openalex.org/W1985194020","https://openalex.org/W2056946495","https://openalex.org/W2138141933","https://openalex.org/W2156759776","https://openalex.org/W2162362021","https://openalex.org/W2171284705","https://openalex.org/W2286118103"],"related_works":["https://openalex.org/W2320379148","https://openalex.org/W2604199454","https://openalex.org/W2073161156","https://openalex.org/W2327284446","https://openalex.org/W2050156526","https://openalex.org/W1989091858","https://openalex.org/W2097273911","https://openalex.org/W3216692250","https://openalex.org/W2375701613","https://openalex.org/W3201600975"],"abstract_inverted_index":{"Rapidly":[0],"and":[1,22,27,60,71,88,109],"accurately":[2],"obtaining":[3],"collapsed":[4,69,107],"buildings":[5,70,108],"information":[6,38],"of":[7,18,54,79,83,105],"the":[8,16,19,52,68,76,80,84,89,102,106,120,126],"earthquake-stricken":[9],"areas":[10,42],"can":[11,23],"help":[12],"to":[13,66,100,125],"effectively":[14],"guide":[15],"implementation":[17],"emergency":[20],"rescue":[21],"reduce":[24],"disaster":[25],"losses":[26],"casualties.":[28],"This":[29],"work":[30],"is":[31,116],"focused":[32],"on":[33],"rapid":[34],"building":[35,113,127],"earthquake":[36],"damage":[37,114],"detection":[39],"in":[40],"urban":[41],"using":[43],"a":[44],"single":[45],"post-earthquake":[46],"PolSAR":[47],"data.":[48],"In":[49,74],"this":[50],"paper,":[51],"methods":[53],"polarization":[55],"orientation":[56],"angle":[57],"(POA)":[58],"compensation":[59],"Wishart":[61],"supervised":[62],"classification":[63],"are":[64,98],"employed":[65],"extract":[67],"undamaged":[72,110],"buildings.":[73,111],"addition,":[75],"two":[77],"parameters":[78],"normalized":[81],"difference":[82],"dihedral":[85],"component":[86],"(NDDC)":[87],"HH-HV":[90],"Correlation":[91],"Coefficient":[92],"(\u03c1":[93],"<sub":[94],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[95],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">HHHV</sub>":[96],")":[97],"proposed":[99],"improve":[101],"extraction":[103],"accuracy":[104],"The":[112],"assessment":[115],"carried":[117],"out":[118],"at":[119],"city":[121],"block":[122],"scale":[123],"according":[124],"collapse":[128],"rate.":[129]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}