{"id":"https://openalex.org/W2344191251","doi":"https://doi.org/10.1109/tgrs.2016.2516402","title":"Toward a Generalizable Image Representation for Large-Scale Change Detection: Application to Generic Damage Analysis","display_name":"Toward a Generalizable Image Representation for Large-Scale Change Detection: Application to Generic Damage Analysis","publication_year":2016,"publication_date":"2016-01-28","ids":{"openalex":"https://openalex.org/W2344191251","doi":"https://doi.org/10.1109/tgrs.2016.2516402","mag":"2344191251"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2016.2516402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2516402","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5028849596","display_name":"Lionel Gueguen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lionel Gueguen","raw_affiliation_strings":["Image Mining R&D Group, DigitalGlobe Inc., Westminster, CO, USA"],"affiliations":[{"raw_affiliation_string":"Image Mining R&D Group, DigitalGlobe Inc., Westminster, CO, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012139103","display_name":"Roszilah Hamid","orcid":"https://orcid.org/0000-0002-4617-970X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raffay Hamid","raw_affiliation_strings":["Image Mining R&D Group, DigitalGlobe Inc., Westminster, CO, USA"],"affiliations":[{"raw_affiliation_string":"Image Mining R&D Group, DigitalGlobe Inc., Westminster, CO, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028849596"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6006,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.93694504,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"54","issue":"6","first_page":"3378","last_page":"3387"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9889000058174133,"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/computer-science","display_name":"Computer science","score":0.7646359205245972},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6909131407737732},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5476398468017578},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5225555300712585},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.5105196237564087},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4739656150341034},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4704034924507141},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42836907505989075},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3656754493713379},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11733555793762207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7646359205245972},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6909131407737732},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5476398468017578},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5225555300712585},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.5105196237564087},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4739656150341034},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4704034924507141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42836907505989075},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3656754493713379},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11733555793762207},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2016.2516402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2516402","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W138525918","https://openalex.org/W1894683164","https://openalex.org/W1966523126","https://openalex.org/W1978563198","https://openalex.org/W1998595580","https://openalex.org/W2001911849","https://openalex.org/W2008783166","https://openalex.org/W2025440262","https://openalex.org/W2027922120","https://openalex.org/W2036798369","https://openalex.org/W2085051150","https://openalex.org/W2087553096","https://openalex.org/W2088866137","https://openalex.org/W2097043713","https://openalex.org/W2112720808","https://openalex.org/W2118116484","https://openalex.org/W2118197877","https://openalex.org/W2118585731","https://openalex.org/W2122906255","https://openalex.org/W2126176832","https://openalex.org/W2127038040","https://openalex.org/W2154406711","https://openalex.org/W2157691228","https://openalex.org/W2160544350","https://openalex.org/W2162362021","https://openalex.org/W2162915993","https://openalex.org/W2164598857","https://openalex.org/W2166052353","https://openalex.org/W2168249932","https://openalex.org/W2171896402","https://openalex.org/W2742907938","https://openalex.org/W4285719527","https://openalex.org/W6677656871"],"related_works":["https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2376528221","https://openalex.org/W196800607","https://openalex.org/W2359428812","https://openalex.org/W3181296946","https://openalex.org/W2258704520","https://openalex.org/W2015705630","https://openalex.org/W2355368334"],"abstract_inverted_index":{"Each":[0],"year,":[1],"multiple":[2,83,227],"catastrophic":[3],"events":[4,17],"impact":[5],"vulnerable":[6],"populations":[7],"around":[8,162],"the":[9,12,34,40,44,62,69,75,117,163,217],"planet.":[10],"Assessing":[11],"damage":[13,65,120],"caused":[14],"by":[15,66],"these":[16,37,98,114],"in":[18,104,116,202],"a":[19,54,87,124,149,172,212],"timely":[20],"and":[21,71,109,129,226],"accurate":[22],"manner":[23],"is":[24,171],"crucial":[25],"for":[26],"efficient":[27],"execution":[28],"of":[29,36,43,57,64,74,89,97,119,126,152,168,180,198,216],"relief":[30],"efforts":[31],"to":[32,59,102,223],"help":[33],"victims":[35],"calamities.":[38],"Given":[39],"low":[41],"accessibility":[42],"damaged":[45],"areas,":[46],"high-resolution":[47],"optical":[48],"satellite":[49],"imagery":[50,73],"has":[51],"emerged":[52],"as":[53],"valuable":[55],"source":[56],"information":[58],"quickly":[60],"asses":[61],"extent":[63],"manually":[67],"analyzing":[68],"pre-":[70,128],"postevent":[72,130],"region.":[76],"To":[77,112],"make":[78],"this":[79],"analysis":[80,215],"more":[81],"efficient,":[82],"learning":[84],"techniques":[85],"using":[86],"variety":[88],"image":[90,131,174,181],"representations":[91,99,115],"have":[92],"been":[93],"proposed.":[94],"However,":[95],"most":[96],"are":[100],"prone":[101],"variabilities":[103,225],"capture":[105],"angle,":[106],"sun":[107],"location,":[108],"seasonal":[110],"variations.":[111],"evaluate":[113],"context":[118],"detection,":[121],"we":[122,210],"present":[123,211],"benchmark":[125],"86":[127],"pairs":[132],"with":[133,184,221],"respective":[134],"reference":[135],"data":[136],"derived":[137],"from":[138,158],"United":[139],"Nation":[140],"Operational":[141],"Satellite":[142],"Applications":[143],"Programme":[144],"(UNOSAT)":[145],"assessment":[146],"maps,":[147],"spanning":[148],"total":[150],"area":[151],"4665":[153],"km":[154],"<sup":[155],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[156],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[157],"11":[159],"different":[160],"locations":[161],"world.":[164],"The":[165],"technical":[166],"contribution":[167],"our":[169,192],"work":[170],"novel":[173],"representation":[175,194],"based":[176],"on":[177],"shape":[178],"distributions":[179],"patches":[182],"encoded":[183],"locality-constrained":[185],"linear":[186],"coding.":[187],"We":[188],"empirically":[189],"demonstrate":[190],"that":[191],"proposed":[193],"provides":[195],"an":[196],"improvement":[197],"at":[199],"least":[200],"5%,":[201],"equal":[203],"error":[204],"rate,":[205],"over":[206],"alternate":[207],"approaches.":[208],"Finally,":[209],"thorough":[213],"robustness":[214],"considered":[218],"representational":[219],"schemes,":[220],"respect":[222],"capture-angle":[224],"sensor":[228],"combinations.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}