{"id":"https://openalex.org/W4285114990","doi":"https://doi.org/10.1109/jstars.2022.3187757","title":"Heterogeneous Spectral-Spatial Feature Transfer With Structure Preserved Distribution Alignment for Hyperspectral Image Classification","display_name":"Heterogeneous Spectral-Spatial Feature Transfer With Structure Preserved Distribution Alignment for Hyperspectral Image Classification","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285114990","doi":"https://doi.org/10.1109/jstars.2022.3187757"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2022.3187757","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3187757","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09813390.pdf","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":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09813390.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002068112","display_name":"Chongxiao Zhong","orcid":"https://orcid.org/0000-0002-3448-5320"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chongxiao Zhong","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696425","display_name":"Junping Zhang","orcid":"https://orcid.org/0000-0002-1082-114X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086637297","display_name":"Qingle Guo","orcid":"https://orcid.org/0000-0002-4028-5579"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingle Guo","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100449291","display_name":"Ye Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Zhang","raw_affiliation_strings":["School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002068112"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.5631,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69404867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"15","issue":null,"first_page":"5545","last_page":"5558"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.993399977684021,"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/T10057","display_name":"Face and Expression Recognition","score":0.9793000221252441,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9004823565483093},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5808482766151428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5640673041343689},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5355842709541321},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5225676894187927},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4501969814300537},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44298216700553894},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.36860233545303345},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3578948974609375},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34212106466293335},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16840246319770813}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9004823565483093},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5808482766151428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5640673041343689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5355842709541321},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5225676894187927},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4501969814300537},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44298216700553894},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36860233545303345},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3578948974609375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34212106466293335},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16840246319770813},{"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":2,"locations":[{"id":"doi:10.1109/jstars.2022.3187757","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3187757","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09813390.pdf","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":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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"},{"id":"pmh:oai:doaj.org/article:bb1e53b126af4d689bd3bc1e5f6a4095","is_oa":true,"landing_page_url":"https://doaj.org/article/bb1e53b126af4d689bd3bc1e5f6a4095","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 5545-5558 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2022.3187757","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3187757","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/4609444/09813390.pdf","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":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1849479095","display_name":null,"funder_award_id":"61871150","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285114990.pdf","grobid_xml":"https://content.openalex.org/works/W4285114990.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1934241014","https://openalex.org/W1970942930","https://openalex.org/W1982696459","https://openalex.org/W2001298023","https://openalex.org/W2036842392","https://openalex.org/W2042873848","https://openalex.org/W2043228833","https://openalex.org/W2072243389","https://openalex.org/W2090923791","https://openalex.org/W2093596219","https://openalex.org/W2096943734","https://openalex.org/W2104068492","https://openalex.org/W2115403315","https://openalex.org/W2120149881","https://openalex.org/W2121010533","https://openalex.org/W2136251662","https://openalex.org/W2140797190","https://openalex.org/W2159570078","https://openalex.org/W2164943005","https://openalex.org/W2170607218","https://openalex.org/W2324728875","https://openalex.org/W2422697180","https://openalex.org/W2519397578","https://openalex.org/W2567257788","https://openalex.org/W2592737629","https://openalex.org/W2603834682","https://openalex.org/W2614326984","https://openalex.org/W2616287544","https://openalex.org/W2771181228","https://openalex.org/W2801477643","https://openalex.org/W2809635958","https://openalex.org/W2894165434","https://openalex.org/W2903882179","https://openalex.org/W2914733877","https://openalex.org/W2942346439","https://openalex.org/W2946747211","https://openalex.org/W2946948585","https://openalex.org/W2955547856","https://openalex.org/W3034054712","https://openalex.org/W3034757175","https://openalex.org/W3081392453","https://openalex.org/W3205907427","https://openalex.org/W4288076010"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W4313014865","https://openalex.org/W2565656575"],"abstract_inverted_index":{"Cross-scene":[0],"knowledge":[1,163],"transfer":[2,65,221],"has":[3],"been":[4],"proven":[5],"effective":[6],"to":[7,119,128,146,150,185],"deal":[8],"with":[9,217],"the":[10,21,27,31,39,44,95,105,130,133,152,161,173,177,187,200,206],"small-sample":[11],"problem":[12],"in":[13,51,126],"hyperspectral":[14],"image":[15],"(HSI)":[16],"classification.":[17,124],"Currently,":[18],"most":[19],"of":[20,74,88,176],"existing":[22],"works":[23],"are":[24,36],"based":[25],"on":[26,193],"homogeneous":[28],"settings":[29],"where":[30,160],"source":[32,89],"and":[33,90,108,180,211],"target":[34,91],"HSIs":[35],"observed":[37],"from":[38],"same":[40],"feature":[41,78,135,153],"space,":[42],"while":[43],"heterogeneous":[45,80,209,220],"situation,":[46],"which":[47,71],"is":[48,54,72],"more":[49],"common":[50],"real-world":[52],"applications,":[53],"under":[55],"insufficient":[56],"exploration.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61,83,137,171],"propose":[62],"a":[63,139,156],"novel":[64],"learning":[66,222],"approach":[67,184,202],"for":[68,123],"HSI":[69],"classification,":[70],"capable":[73],"transferring":[75],"discriminative":[76,162],"spectral-spatial":[77,86],"between":[79,132,208],"datasets.":[81],"Specifically,":[82],"first":[84],"extract":[85],"features":[87,122],"scenes":[92],"by":[93],"applying":[94],"multiscale":[96],"convolutional":[97],"sparse":[98],"decomposition":[99],"(MCSD)":[100],"method.":[101],"By":[102],"performing":[103],"MCSD,":[104],"spectral":[106],"information":[107,111],"spatial":[109],"structure":[110,140],"at":[112],"different":[113],"scales":[114],"can":[115,164,203],"be":[116,165],"jointly":[117],"adapted":[118],"learn":[120,147],"transferable":[121],"Then,":[125],"order":[127],"overcome":[129],"heterogeneity":[131],"two":[134],"sets,":[136],"build":[138],"preserved":[141],"distribution":[142],"alignment":[143],"(SPDA)":[144],"model":[145,189],"domain-specific":[148],"projections":[149],"map":[151],"samples":[154],"into":[155],"shared":[157],"latent":[158],"subspace":[159],"effectively":[166],"transferred.":[167],"With":[168],"proper":[169],"reformulation,":[170],"give":[172],"analytical":[174],"solution":[175],"objective":[178],"function":[179],"generate":[181],"an":[182],"optimization":[183],"solve":[186],"SPDA":[188],"efficiently.":[190],"Experiments":[191],"conducted":[192],"several":[194],"real":[195],"data":[196],"pairs":[197],"demonstrate":[198],"that":[199],"proposed":[201],"explicitly":[204],"narrow":[205],"disparity":[207],"HSIs,":[210],"yield":[212],"superior":[213],"classification":[214],"results":[215],"compared":[216],"other":[218],"representative":[219],"methods.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}