{"id":"https://openalex.org/W2144877315","doi":"https://doi.org/10.1109/tgrs.2010.2043111","title":"Eigenmethod for Feature Matching of Pre- and Postevent Images Exploiting Adjacency","display_name":"Eigenmethod for Feature Matching of Pre- and Postevent Images Exploiting Adjacency","publication_year":2010,"publication_date":"2010-04-07","ids":{"openalex":"https://openalex.org/W2144877315","doi":"https://doi.org/10.1109/tgrs.2010.2043111","mag":"2144877315"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2010.2043111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2010.2043111","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/A5089302403","display_name":"Marco Manfredi","orcid":"https://orcid.org/0000-0002-2618-2493"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]},{"id":"https://openalex.org/I4210126170","display_name":"Ericsson (Italy)","ror":"https://ror.org/027n3xb46","country_code":"IT","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210126170"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Manfredi","raw_affiliation_strings":["Department of Electronics, University of Pavia, Pavia, Italy","Ericsson Telecommunications SpA, Vimodrone, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, University of Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]},{"raw_affiliation_string":"Ericsson Telecommunications SpA, Vimodrone, Italy","institution_ids":["https://openalex.org/I4210126170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111595419","display_name":"Massimiliano Aldrighi","orcid":null},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimiliano Aldrighi","raw_affiliation_strings":["Department of Electronics, University of Pavia, Pavia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, University of Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066694835","display_name":"Fabio Dell\u2019Acqua","orcid":"https://orcid.org/0000-0002-0044-2998"},"institutions":[{"id":"https://openalex.org/I25217355","display_name":"University of Pavia","ror":"https://ror.org/00s6t1f81","country_code":"IT","type":"education","lineage":["https://openalex.org/I25217355"]},{"id":"https://openalex.org/I4210129292","display_name":"European Centre for Training and Research in Earthquake Engineering","ror":"https://ror.org/02dq7z403","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210129292"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Dell'Acqua","raw_affiliation_strings":["Department of Electronics, University of Pavia, Pavia, Italy","European Centre for Training and Research in Earthquake Engineering (EUCENTRE), Pavia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, University of Pavia, Pavia, Italy","institution_ids":["https://openalex.org/I25217355"]},{"raw_affiliation_string":"European Centre for Training and Research in Earthquake Engineering (EUCENTRE), Pavia, Italy","institution_ids":["https://openalex.org/I4210129292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3174,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63247863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"48","issue":"7","first_page":"2890","last_page":"2898"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998000264167786,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9984999895095825,"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":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7900819778442383},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6847031116485596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6576507091522217},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5867702960968018},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5760014653205872},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.5514019727706909},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5278489589691162},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5108475089073181},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4911160171031952},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41100651025772095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15090423822402954},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1353777050971985}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7900819778442383},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6847031116485596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6576507091522217},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5867702960968018},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5760014653205872},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.5514019727706909},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5278489589691162},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5108475089073181},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4911160171031952},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41100651025772095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15090423822402954},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1353777050971985},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2010.2043111","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2010.2043111","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":[{"id":"https://metadata.un.org/sdg/13","score":0.75,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1963623641","https://openalex.org/W1972278541","https://openalex.org/W2043035450","https://openalex.org/W2085261163","https://openalex.org/W2099046646","https://openalex.org/W2111320133","https://openalex.org/W2119605622","https://openalex.org/W2124386111","https://openalex.org/W2130578993","https://openalex.org/W2132215304","https://openalex.org/W2140019327","https://openalex.org/W2145098817","https://openalex.org/W2147555557","https://openalex.org/W2150138094","https://openalex.org/W2153696326","https://openalex.org/W2156129053","https://openalex.org/W2159377629","https://openalex.org/W2161599811","https://openalex.org/W2163771205","https://openalex.org/W2170261551","https://openalex.org/W2170535121","https://openalex.org/W2230621910","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2058127401","https://openalex.org/W1550139912"],"abstract_inverted_index":{"With":[0],"the":[1,5,14,42,46,52,64,94,108,126,138,146,163],"continuing":[2],"increase":[3],"in":[4,112,118],"number":[6],"of":[7,17,44,54,107,125,135,151,168],"images":[8,19,177],"collected":[9],"everyday":[10],"from":[11,93],"different":[12,59],"sensors,":[13],"automated":[15],"registration":[16,74],"multisensor/multispectral":[18],"has":[20],"become":[21],"a":[22,83,88,122,132],"very":[23],"important":[24],"issue.":[25],"This":[26],"is":[27,36,128],"particularly":[28],"true":[29],"when":[30],"pre-":[31,101,169],"and":[32,98,102,170,180],"postevent":[33,49,103,171],"image":[34,50,69],"comparison":[35],"concerned:":[37],"For":[38],"this":[39,119],"particular":[40],"application,":[41],"requirement":[43],"obtaining":[45],"earliest":[47],"possible":[48],"imposes":[51],"use":[53],"data":[55],"potentially":[56],"possessing":[57],"significantly":[58],"characteristics":[60],"with":[61],"respect":[62],"to":[63,100,156],"pre-event":[65],"image.":[66],"Strongly":[67],"inhomogeneous":[68],"pairs":[70],"require":[71],"robust":[72],"automatic":[73],"techniques,":[75],"preferably":[76],"based":[77],"on":[78,174],"resolution-independent":[79],"feature-based":[80],"registration.":[81],"In":[82],"previous":[84],"paper,":[85,120],"we":[86],"proposed":[87],"mode-based":[89],"feature-matching":[90],"scheme":[91],"mutated":[92],"computer":[95],"vision":[96],"domain":[97],"adapted":[99],"feature":[104,141,172],"matching.":[105],"Some":[106],"weak":[109],"points":[110],"highlighted":[111],"that":[113],"first":[114],"version":[115,124],"are":[116,178],"addressed":[117],"where":[121],"new":[123,133],"method":[127],"proposed,":[129],"which":[130],"exploits":[131],"piece":[134],"information,":[136],"i.e.,":[137],"adjacency":[139],"between":[140],"points,":[142],"generally":[143],"preserved":[144],"across":[145],"disaster":[147],"event.":[148],"Extensive":[149],"generation":[150],"synthetic":[152],"cases":[153,167],"allowed":[154],"one":[155],"obtain":[157],"significant":[158],"feedback":[159],"and,":[160],"consequently,":[161],"tune":[162],"algorithm.":[164],"Three":[165],"real":[166],"matching":[173],"high-resolution":[175],"satellite":[176],"shown":[179],"discussed.":[181]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}