{"id":"https://openalex.org/W2801230950","doi":"https://doi.org/10.1109/lgrs.2018.2827845","title":"Joint Euclidean and Angular Distance-Based Embeddings for Multisource Image Analysis","display_name":"Joint Euclidean and Angular Distance-Based Embeddings for Multisource Image Analysis","publication_year":2018,"publication_date":"2018-05-11","ids":{"openalex":"https://openalex.org/W2801230950","doi":"https://doi.org/10.1109/lgrs.2018.2827845","mag":"2801230950"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2018.2827845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2827845","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5012884791","display_name":"Lifeng Yan","orcid":"https://orcid.org/0000-0002-2448-6784"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lifeng Yan","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of Houston, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111740765","display_name":"Minshan Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minshan Cui","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of Houston, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037823063","display_name":"Saurabh Prasad","orcid":"https://orcid.org/0000-0003-3729-9360"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saurabh Prasad","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of Houston, Houston, TX, USA"],"raw_orcid":"https://orcid.org/0000-0003-3729-9360","affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":0.6129,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.72951202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"15","issue":"7","first_page":"1110","last_page":"1114"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9990000128746033,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6740573644638062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6434141993522644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6416236758232117},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6313592791557312},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5766434669494629},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5294936299324036},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.48909837007522583},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.441297709941864},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42321914434432983},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4220309555530548},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4103337228298187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2825927734375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20126625895500183}],"concepts":[{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6740573644638062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6434141993522644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6416236758232117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6313592791557312},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5766434669494629},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5294936299324036},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.48909837007522583},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.441297709941864},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42321914434432983},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4220309555530548},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4103337228298187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2825927734375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20126625895500183},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/lgrs.2018.2827845","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2827845","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W59495185","https://openalex.org/W1985152886","https://openalex.org/W2008817018","https://openalex.org/W2029691617","https://openalex.org/W2034385314","https://openalex.org/W2059089906","https://openalex.org/W2063385051","https://openalex.org/W2078495963","https://openalex.org/W2109531142","https://openalex.org/W2149324654","https://openalex.org/W2159070926","https://openalex.org/W2165049595","https://openalex.org/W2165796970","https://openalex.org/W2343766628","https://openalex.org/W3014771378","https://openalex.org/W6676189307"],"related_works":["https://openalex.org/W2896134808","https://openalex.org/W3172436493","https://openalex.org/W4287164812","https://openalex.org/W2957492749","https://openalex.org/W1887135636","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849","https://openalex.org/W4285605394","https://openalex.org/W2025894073"],"abstract_inverted_index":{"With":[0],"the":[1,78,85,111,172],"emergence":[2],"of":[3,25,37,103,160,175],"passive":[4],"and":[5,56,59,67,90,131,139,151,178,181,185,195,202],"active":[6],"optical":[7],"sensors":[8,16],"available":[9],"for":[10,48,135],"geospatial":[11,30],"imaging,":[12],"information":[13,47,136,198],"fusion":[14,205],"across":[15],"is":[17,33],"becoming":[18],"ever":[19],"more":[20],"important.":[21],"An":[22],"important":[23],"aspect":[24],"single":[26],"(or":[27],"multiple)":[28],"sensor":[29,203],"image":[31],"analysis":[32,50,72,191],"feature":[34,88,161],"extraction-the":[35],"process":[36],"finding":[38],"\u201coptimal\u201d":[39],"lower":[40],"dimensional":[41],"subspaces":[42,79],"that":[43,74,129,147,187,192],"adequately":[44],"characterize":[45],"class-specific":[46],"subsequent":[49],"tasks,":[51],"such":[52],"as":[53],"classification,":[54],"change":[55],"anomaly":[57],"detection,":[58],"so":[60],"on.":[61],"In":[62,120],"recent":[63],"work,":[64],"we":[65,123],"proposed":[66],"developed":[68,97],"an":[69,98,158],"angle-based":[70],"discriminant":[71,190],"approach":[73],"projected":[75],"data":[76,183],"onto":[77],"with":[80,171],"maximal":[81],"\u201cangular\u201d":[82],"separability":[83],"in":[84],"input":[86],"(raw)":[87],"space":[89],"reproducing":[91],"kernel":[92],"Hilbert":[93],"space.":[94],"We":[95,167],"also":[96],"angular":[99,152,194],"locality":[100],"preserving":[101],"variant":[102],"this":[104,121,125,169],"algorithm.":[105],"Despite":[106],"being":[107],"a":[108,141,188],"promising":[109],"approach,":[110],"resulting":[112],"subspace":[113,144],"does":[114],"not":[115],"preserve":[116],"Euclidean":[117,150,196],"distance":[118,197],"information.":[119],"letter,":[122],"advance":[124],"work":[126],"to":[127],"address":[128],"limitation":[130],"make":[132],"it":[133],"suitable":[134],"fusion-we":[137],"propose":[138],"validate":[140,168],"composite":[142],"kernel-based":[143],"learning":[145],"framework":[146],"simultaneously":[148],"preserves":[149],"information,":[153],"which":[154],"can":[155],"operate":[156],"on":[157],"ensemble":[159],"sources":[162],"(e.g.,":[163],"from":[164],"different":[165],"sources).":[166],"method":[170],"multisensor":[173],"University":[174],"Houston":[176],"hyperspectral":[177],"light":[179],"detection":[180],"ranging":[182],"set,":[184],"demonstrate":[186],"joint":[189],"leverages":[193],"provides":[199],"superior":[200],"classification":[201],"(information)":[204],"performance.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
