{"id":"https://openalex.org/W2105924604","doi":"https://doi.org/10.1109/jurse.2011.5764786","title":"Colour and texture based change detection for urban disaster analysis","display_name":"Colour and texture based change detection for urban disaster analysis","publication_year":2011,"publication_date":"2011-04-01","ids":{"openalex":"https://openalex.org/W2105924604","doi":"https://doi.org/10.1109/jurse.2011.5764786","mag":"2105924604"},"language":"en","primary_location":{"id":"doi:10.1109/jurse.2011.5764786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jurse.2011.5764786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Joint Urban Remote Sensing Event","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/A5014546198","display_name":"Daniel Tomowski","orcid":null},"institutions":[{"id":"https://openalex.org/I170658231","display_name":"Osnabr\u00fcck University","ror":"https://ror.org/04qmmjx98","country_code":"DE","type":"education","lineage":["https://openalex.org/I170658231"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Daniel Tomowski","raw_affiliation_strings":["Institute of Geoinformatics and Remote Sensing, University of Osnabr\u00fcck, Osnabrueck, Germany","University of Osnabrueck, Institute for Geoinformatics and Remote Sensing, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Geoinformatics and Remote Sensing, University of Osnabr\u00fcck, Osnabrueck, Germany","institution_ids":["https://openalex.org/I170658231"]},{"raw_affiliation_string":"University of Osnabrueck, Institute for Geoinformatics and Remote Sensing, Germany","institution_ids":["https://openalex.org/I170658231"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108422350","display_name":"Manfred Ehlers","orcid":null},"institutions":[{"id":"https://openalex.org/I170658231","display_name":"Osnabr\u00fcck University","ror":"https://ror.org/04qmmjx98","country_code":"DE","type":"education","lineage":["https://openalex.org/I170658231"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Manfred Ehlers","raw_affiliation_strings":["Institute of Geoinformatics and Remote Sensing, University of Osnabr\u00fcck, Osnabrueck, Germany","University of Osnabrueck, Institute for Geoinformatics and Remote Sensing, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Geoinformatics and Remote Sensing, University of Osnabr\u00fcck, Osnabrueck, Germany","institution_ids":["https://openalex.org/I170658231"]},{"raw_affiliation_string":"University of Osnabrueck, Institute for Geoinformatics and Remote Sensing, Germany","institution_ids":["https://openalex.org/I170658231"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091138556","display_name":"Sascha Klonus","orcid":null},"institutions":[{"id":"https://openalex.org/I170658231","display_name":"Osnabr\u00fcck University","ror":"https://ror.org/04qmmjx98","country_code":"DE","type":"education","lineage":["https://openalex.org/I170658231"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sascha Klonus","raw_affiliation_strings":["Institute of Geoinformatics and Remote Sensing, University of Osnabr\u00fcck, Osnabrueck, Germany","University of Osnabrueck, Institute for Geoinformatics and Remote Sensing, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Geoinformatics and Remote Sensing, University of Osnabr\u00fcck, Osnabrueck, Germany","institution_ids":["https://openalex.org/I170658231"]},{"raw_affiliation_string":"University of Osnabrueck, Institute for Geoinformatics and Remote Sensing, Germany","institution_ids":["https://openalex.org/I170658231"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014546198"],"corresponding_institution_ids":["https://openalex.org/I170658231"],"apc_list":null,"apc_paid":null,"fwci":1.5319,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.85804728,"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":"329","last_page":"332"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9973000288009644,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9729999899864197,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.8108717203140259},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.7424443364143372},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6525318622589111},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6424390077590942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6159896850585938},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6125385165214539},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5850316882133484},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5741247534751892},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.49787473678588867},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49746349453926086},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4478616416454315},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43942031264305115},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4194788932800293},{"id":"https://openalex.org/keywords/change-analysis","display_name":"Change analysis","score":0.41740483045578003},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32423919439315796},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28331369161605835},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23761168122291565},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18406137824058533}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.8108717203140259},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7424443364143372},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6525318622589111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6424390077590942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6159896850585938},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6125385165214539},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5850316882133484},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5741247534751892},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.49787473678588867},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49746349453926086},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4478616416454315},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43942031264305115},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4194788932800293},{"id":"https://openalex.org/C2989469682","wikidata":"https://www.wikidata.org/wiki/Q1401207","display_name":"Change analysis","level":2,"score":0.41740483045578003},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32423919439315796},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28331369161605835},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23761168122291565},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18406137824058533},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jurse.2011.5764786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jurse.2011.5764786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Joint Urban Remote Sensing Event","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5199999809265137},{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W45221937","https://openalex.org/W1578368825","https://openalex.org/W1972023946","https://openalex.org/W1976692368","https://openalex.org/W1981571657","https://openalex.org/W2012567975","https://openalex.org/W2036798369","https://openalex.org/W2044465660","https://openalex.org/W2087278589","https://openalex.org/W2139267096","https://openalex.org/W2140023211","https://openalex.org/W2165577558","https://openalex.org/W2185133401","https://openalex.org/W2254997887","https://openalex.org/W2487232184","https://openalex.org/W3196803037","https://openalex.org/W4285719527","https://openalex.org/W6680556597","https://openalex.org/W6686401320","https://openalex.org/W6691881490"],"related_works":["https://openalex.org/W196800607","https://openalex.org/W2742642662","https://openalex.org/W2372152927","https://openalex.org/W996025515","https://openalex.org/W3211915995","https://openalex.org/W3194846307","https://openalex.org/W2497228510","https://openalex.org/W4402265833","https://openalex.org/W2147991527","https://openalex.org/W2100290662"],"abstract_inverted_index":{"A":[0],"rapid":[1],"visualisation":[2],"of":[3,17,26,38,55,134,143],"change":[4,21,44,135],"in":[5,59,85],"urban":[6],"crisis":[7],"areas":[8,133],"is":[9,80,126],"an":[10],"important":[11],"condition":[12],"for":[13,82,104],"planning":[14],"and":[15,31,41,52,108],"coordination":[16],"help.":[18],"For":[19],"automated":[20],"detection,":[22],"a":[23,39,95,100,109],"large":[24],"number":[25],"algorithms":[27],"has":[28],"been":[29],"proposed":[30],"developed.":[32],"This":[33,79],"paper":[34],"describes":[35],"the":[36,56,76,86,115,120],"results":[37],"colour":[40,69,88],"texture":[42,70,106,116],"based":[43,74],"detection":[45],"approach":[46],"that":[47],"was":[48],"applied":[49],"to":[50,118,130,138],"satellite":[51],"aircraft":[53],"images":[54,71],"earthquake":[57],"region":[58],"Haiti.":[60],"In":[61],"our":[62],"integrated":[63],"methodology,":[64],"we":[65,113],"calculate":[66],"firstly":[67],"new":[68],"which":[72],"are":[73],"on":[75],"feature":[77],"`energy'.":[78],"performed":[81],"every":[83],"channel":[84],"visible":[87],"spectrum":[89],"at":[90],"two":[91],"different":[92,141],"times":[93],"after":[94],"radiometric":[96],"harmonisation.":[97],"Combined":[98],"with":[99],"principal":[101],"component":[102],"analysis":[103],"each":[105],"image":[107],"subsequent":[110],"histogram":[111],"optimisation,":[112],"subtract":[114],"elements":[117],"visualise":[119],"occurred":[121],"change.":[122,144],"As":[123],"result,":[124],"it":[125],"not":[127],"only":[128],"possible":[129],"automatically":[131],"delineate":[132],"but":[136],"also":[137],"distinguish":[139],"between":[140],"types":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}