{"id":"https://openalex.org/W2937438534","doi":"https://doi.org/10.1109/jstars.2019.2904670","title":"Extraction of Earthquake-Induced Collapsed Buildings From Bi-Temporal VHR Images Using Object-Level Homogeneity Index and Histogram","display_name":"Extraction of Earthquake-Induced Collapsed Buildings From Bi-Temporal VHR Images Using Object-Level Homogeneity Index and Histogram","publication_year":2019,"publication_date":"2019-04-16","ids":{"openalex":"https://openalex.org/W2937438534","doi":"https://doi.org/10.1109/jstars.2019.2904670","mag":"2937438534"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2019.2904670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2019.2904670","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5101636122","display_name":"Junru Liu","orcid":"https://orcid.org/0000-0001-7108-4860"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junru Liu","raw_affiliation_strings":["Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7108-4860","affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100742536","display_name":"Peijun Li","orcid":"https://orcid.org/0000-0002-4989-9892"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peijun Li","raw_affiliation_strings":["Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4989-9892","affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":1.7693,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86688823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"12","issue":"8","first_page":"2755","last_page":"2770"},"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":0.9933000206947327,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9861000180244446,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7352645993232727},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6134679317474365},{"id":"https://openalex.org/keywords/homogeneity","display_name":"Homogeneity (statistics)","score":0.591076135635376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5745964050292969},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.526906430721283},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.5158635973930359},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5106917023658752},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.49446845054626465},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4165208339691162},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41622811555862427},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41559284925460815},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17320144176483154},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14901500940322876}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7352645993232727},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6134679317474365},{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.591076135635376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5745964050292969},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.526906430721283},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.5158635973930359},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5106917023658752},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.49446845054626465},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4165208339691162},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41622811555862427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41559284925460815},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17320144176483154},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14901500940322876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2019.2904670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2019.2904670","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8500000238418579,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G8848679482","display_name":null,"funder_award_id":"41371329","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W214577476","https://openalex.org/W1927211154","https://openalex.org/W1963832478","https://openalex.org/W1965243553","https://openalex.org/W1970473112","https://openalex.org/W1984324787","https://openalex.org/W1984710860","https://openalex.org/W1984792953","https://openalex.org/W1991688003","https://openalex.org/W1998478788","https://openalex.org/W2003128786","https://openalex.org/W2010319424","https://openalex.org/W2014135451","https://openalex.org/W2018636632","https://openalex.org/W2024730024","https://openalex.org/W2025341742","https://openalex.org/W2026163023","https://openalex.org/W2027000042","https://openalex.org/W2028842634","https://openalex.org/W2031391888","https://openalex.org/W2035971915","https://openalex.org/W2039051707","https://openalex.org/W2040535921","https://openalex.org/W2046841679","https://openalex.org/W2060090591","https://openalex.org/W2061240006","https://openalex.org/W2070781258","https://openalex.org/W2079572904","https://openalex.org/W2080238410","https://openalex.org/W2085665642","https://openalex.org/W2099944521","https://openalex.org/W2101872840","https://openalex.org/W2104896032","https://openalex.org/W2105897869","https://openalex.org/W2106587382","https://openalex.org/W2109606373","https://openalex.org/W2118743029","https://openalex.org/W2128356031","https://openalex.org/W2130334431","https://openalex.org/W2130578993","https://openalex.org/W2131438174","https://openalex.org/W2131651374","https://openalex.org/W2132870739","https://openalex.org/W2138973222","https://openalex.org/W2140393239","https://openalex.org/W2148878936","https://openalex.org/W2154406711","https://openalex.org/W2160305377","https://openalex.org/W2161273109","https://openalex.org/W2161567984","https://openalex.org/W2162636304","https://openalex.org/W2162703999","https://openalex.org/W2165069217","https://openalex.org/W2167008866","https://openalex.org/W2172183889","https://openalex.org/W2254997887","https://openalex.org/W2279188631","https://openalex.org/W2321010120","https://openalex.org/W2333566963","https://openalex.org/W2343702461","https://openalex.org/W2541847853","https://openalex.org/W2547748761","https://openalex.org/W2586605574","https://openalex.org/W2603283561","https://openalex.org/W2610884537","https://openalex.org/W2789781087","https://openalex.org/W2793638091","https://openalex.org/W2981849677","https://openalex.org/W4245539475","https://openalex.org/W6640162628","https://openalex.org/W6684307683","https://openalex.org/W6691881490","https://openalex.org/W6728936575","https://openalex.org/W6769377118"],"related_works":["https://openalex.org/W2794704245","https://openalex.org/W2247097764","https://openalex.org/W2066185872","https://openalex.org/W1998334300","https://openalex.org/W2110241600","https://openalex.org/W2375849557","https://openalex.org/W2109325523","https://openalex.org/W2146297113","https://openalex.org/W2324508068","https://openalex.org/W2141966243"],"abstract_inverted_index":{"The":[0,55,78,148,175,205],"availability":[1],"of":[2,13,24,66,71,85,132,191,216],"very":[3],"high":[4],"resolution":[5],"(VHR)":[6],"satellite":[7],"images":[8,46,131,162],"has":[9],"made":[10],"the":[11,22,82,133,180,184,189],"analysis":[12],"remotely":[14],"sensed":[15],"data":[16],"an":[17,61,171],"increasingly":[18],"effective":[19],"tool":[20],"for":[21,214],"extraction":[23,215],"urban":[25],"building":[26],"damage":[27],"caused":[28],"by":[29,170],"earthquakes.":[30],"In":[31],"this":[32],"study,":[33],"we":[34],"proposed":[35,149,181,206],"a":[36,140,209],"novel":[37],"method":[38,150,182,207,213],"to":[39,155],"extract":[40],"collapsed":[41,97,217],"buildings":[42,125],"from":[43,75,96,109,129],"bi-temporal":[44,130,160],"VHR":[45,111],"using":[47,60,113,136,159],"object-level":[48],"homogeneity":[49,64,70],"index":[50,65,119],"(OHI)":[51],"and":[52,93,102,115,120,139,153,193,198,200,211],"object":[53,73,79,137],"histogram.":[54],"OHI,":[56],"which":[57,166],"is":[58],"calculated":[59],"improved":[62],"spatial":[63],"pixel,":[67],"quantifies":[68,81],"internal":[69],"image":[72,76,86,112],"generated":[74],"segmentation.":[77],"histogram":[80,138],"spectral":[83,145],"variability":[84],"object.":[87],"Ground":[88],"objects":[89],"that":[90,179],"are":[91],"intact":[92],"significantly":[94],"different":[95],"buildings,":[98],"such":[99],"as":[100],"vegetation":[101,118],"non-vegetated":[103],"homogeneous":[104],"areas,":[105],"were":[106,121,126],"first":[107],"extracted":[108,128],"post-event":[110],"OHI":[114],"normalized":[116],"difference":[117],"masked":[122],"out.":[123],"Collapsed":[124],"then":[127],"remaining":[134],"areas":[135],"curve":[141],"matching":[142],"method,":[143],"multi-reference":[144],"angle":[146],"mapper.":[147],"was":[151,167],"evaluated":[152],"compared":[154],"two":[156,185],"existing":[157],"methods":[158],"QuickBird":[161],"over":[163],"Bam,":[164],"Iran,":[165],"heavily":[168],"hit":[169],"earthquake":[172],"in":[173,195,202],"2003.":[174],"experimental":[176],"results":[177],"showed":[178],"outperformed":[183],"comparative":[186],"methods,":[187],"with":[188],"increase":[190],"11.38":[192],"5.65%":[194],"overall":[196],"accuracy,":[197],"14.27":[199],"7.83%":[201],"F-score,":[203],"respectively.":[204],"provides":[208],"fast":[210],"reliable":[212],"buildings.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}