{"id":"https://openalex.org/W2324728875","doi":"https://doi.org/10.1109/jstars.2015.2449738","title":"Domain Adaptation With Preservation of Manifold Geometry for Hyperspectral Image Classification","display_name":"Domain Adaptation With Preservation of Manifold Geometry for Hyperspectral Image Classification","publication_year":2015,"publication_date":"2015-07-23","ids":{"openalex":"https://openalex.org/W2324728875","doi":"https://doi.org/10.1109/jstars.2015.2449738","mag":"2324728875"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2015.2449738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2449738","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/A5024089585","display_name":"H. Lexie Yang","orcid":"https://orcid.org/0000-0003-2252-6778"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hsiuhan Lexie Yang","raw_affiliation_strings":["Laboratory for Applications of Remote Sensing, School of Civil Engineering, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Laboratory for Applications of Remote Sensing, School of Civil Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002083374","display_name":"Melba M. Crawford","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melba M. Crawford","raw_affiliation_strings":["Laboratory for Applications of Remote Sensing, School of Civil Engineering, Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Laboratory for Applications of Remote Sensing, School of Civil Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5024089585"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":8.293,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.97687031,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"9","issue":"2","first_page":"543","last_page":"555"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9753000140190125,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9474999904632568,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7307950258255005},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7138324975967407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6250425577163696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5812845230102539},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5590350031852722},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5567243695259094},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.5067811608314514},{"id":"https://openalex.org/keywords/manifold-alignment","display_name":"Manifold alignment","score":0.5042101144790649},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.41012099385261536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3736066222190857},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.25558215379714966},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.10518667101860046}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7307950258255005},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7138324975967407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6250425577163696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5812845230102539},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5590350031852722},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5567243695259094},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.5067811608314514},{"id":"https://openalex.org/C153120616","wikidata":"https://www.wikidata.org/wiki/Q17068315","display_name":"Manifold alignment","level":4,"score":0.5042101144790649},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.41012099385261536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3736066222190857},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.25558215379714966},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.10518667101860046},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2015.2449738","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2015.2449738","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W46086471","https://openalex.org/W53433886","https://openalex.org/W84941271","https://openalex.org/W92894758","https://openalex.org/W194200989","https://openalex.org/W1506622324","https://openalex.org/W1516346534","https://openalex.org/W1587720067","https://openalex.org/W1597847938","https://openalex.org/W1977461281","https://openalex.org/W2001141328","https://openalex.org/W2004683109","https://openalex.org/W2019338222","https://openalex.org/W2024886312","https://openalex.org/W2040812261","https://openalex.org/W2053186076","https://openalex.org/W2063385051","https://openalex.org/W2067091528","https://openalex.org/W2077776048","https://openalex.org/W2093402979","https://openalex.org/W2097308346","https://openalex.org/W2100247253","https://openalex.org/W2108759471","https://openalex.org/W2111282613","https://openalex.org/W2114154403","https://openalex.org/W2115403315","https://openalex.org/W2118042967","https://openalex.org/W2119548491","https://openalex.org/W2120149881","https://openalex.org/W2120708938","https://openalex.org/W2122838776","https://openalex.org/W2123261262","https://openalex.org/W2125592902","https://openalex.org/W2133893370","https://openalex.org/W2135346934","https://openalex.org/W2140797190","https://openalex.org/W2144438956","https://openalex.org/W2149466042","https://openalex.org/W2149544245","https://openalex.org/W2151599207","https://openalex.org/W2155008293","https://openalex.org/W2158751697","https://openalex.org/W2163922914","https://openalex.org/W2165698076","https://openalex.org/W2168876499","https://openalex.org/W2169528473","https://openalex.org/W2171022634","https://openalex.org/W2171171329","https://openalex.org/W2616180702","https://openalex.org/W3098372638","https://openalex.org/W3148981562","https://openalex.org/W3153012724","https://openalex.org/W4252316495","https://openalex.org/W6601848957","https://openalex.org/W6603760306","https://openalex.org/W6607781037","https://openalex.org/W6630218264","https://openalex.org/W6677968238","https://openalex.org/W6681637710","https://openalex.org/W6682989981","https://openalex.org/W6697274609"],"related_works":["https://openalex.org/W3008648540","https://openalex.org/W2119945967","https://openalex.org/W2397338926","https://openalex.org/W2740361506","https://openalex.org/W2387045723","https://openalex.org/W4312246223","https://openalex.org/W2564044928","https://openalex.org/W2090934257","https://openalex.org/W4320738265","https://openalex.org/W2085620615"],"abstract_inverted_index":{"Adapting":[0],"a":[1,17,60,161],"pretrained":[2],"classifier":[3,41],"with":[4,81,106,147],"unlabeled":[5],"samples":[6,66],"from":[7,142],"an":[8],"image":[9,15],"for":[10,167,198],"classification":[11,71,120],"of":[12,32,38,51,187,194],"another":[13],"related":[14,183],"is":[16,35,73,157],"common":[18,56],"domain":[19,150,163,199],"adaptation":[20,24,151,164,200],"strategy.":[21],"However,":[22],"traditional":[23],"methods":[25],"are":[26,67,177],"not":[27],"effective":[28],"when":[29,170],"the":[30,92,101,115,135,139,154,168,185],"drift":[31],"spectral":[33,171],"signatures":[34],"significant.":[36,178],"Instead":[37],"iteratively":[39],"redefining":[40],"parameters":[42],"or":[43],"decision":[44],"boundaries,":[45],"we":[46,89],"exploit":[47],"similar":[48,65,97],"data":[49,57,79,113,175,197],"geometries":[50],"images":[52],"and":[53,109,138,190],"preserve":[54],"essential":[55],"characteristics":[58,193],"in":[59,133],"joint":[61],"manifold":[62,140],"space":[63,137],"where":[64],"clustered.":[68],"The":[69],"proposed":[70,116,155],"framework":[72,117],"based":[74],"on":[75],"aligning":[76],"two":[77,124,174],"global":[78,87,189],"manifolds":[80],"bridging":[82],"pairs.":[83],"In":[84,104,145],"addition":[85],"to":[86,123,159,184],"structures,":[88],"also":[90,180],"consider":[91],"local":[93,98,191],"scale":[94],"by":[95],"incorporating":[96,188],"clusters":[99],"into":[100],"alignment":[102],"process.":[103],"experiments":[105],"challenging":[107],"temporal":[108],"spatially":[110],"disjoint":[111],"hyperspectral":[112],"sets,":[114],"provides":[118],"favorable":[119],"results":[121],"compared":[122],"baseline":[125],"methods,":[126,153],"naive":[127],"<inline-formula":[128],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[129],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[130],"notation=\"LaTeX\">$k$</tex-math></inline-formula>":[131],"-NN":[132],"both":[134],"original":[136],"derived":[141],"pooled":[143],"data.":[144],"comparisons":[146],"four":[148],"state-of-the-art":[149],"benchmark":[152],"method":[156],"demonstrated":[158],"be":[160],"competitive":[162],"method,":[165],"especially":[166],"case":[169],"changes":[172],"between":[173],"domains":[176],"Results":[179],"provide":[181],"insights":[182],"usefulness":[186],"geometric":[192],"remote":[195],"sensing":[196],"studies.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}