{"id":"https://openalex.org/W4404847745","doi":"https://doi.org/10.1109/jstars.2024.3509538","title":"From Global to Local: A Dual-Branch Structural Feature Extraction Method for Hyperspectral Image Classification","display_name":"From Global to Local: A Dual-Branch Structural Feature Extraction Method for Hyperspectral Image Classification","publication_year":2024,"publication_date":"2024-11-29","ids":{"openalex":"https://openalex.org/W4404847745","doi":"https://doi.org/10.1109/jstars.2024.3509538"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3509538","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3509538","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":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://doi.org/10.1109/jstars.2024.3509538","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101658227","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0002-3972-3316"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["College of Railway Transportation, Hunan University of Technology, Zhuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3972-3316","affiliations":[{"raw_affiliation_string":"College of Railway Transportation, Hunan University of Technology, Zhuzhou, China","institution_ids":["https://openalex.org/I49934816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036534306","display_name":"Lianhui Liang","orcid":"https://orcid.org/0000-0001-6958-0443"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianhui Liang","raw_affiliation_strings":["School of Electrical Engineering, Guangxi University, Nanning, China"],"raw_orcid":"https://orcid.org/0000-0001-6958-0443","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Guangxi University, Nanning, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065039433","display_name":"Jianxu Mao","orcid":"https://orcid.org/0000-0003-2267-5415"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxu Mao","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2267-5415","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025640070","display_name":"Yaonan Wang","orcid":"https://orcid.org/0000-0002-0519-6458"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaonan Wang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0519-6458","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112311959","display_name":"Lin Jia","orcid":"https://orcid.org/0000-0003-3912-6068"},"institutions":[{"id":"https://openalex.org/I49934816","display_name":"Hunan University of Technology","ror":"https://ror.org/04j3vr751","country_code":"CN","type":"education","lineage":["https://openalex.org/I49934816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Jia","raw_affiliation_strings":["College of Railway Transportation, Hunan University of Technology, Zhuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Railway Transportation, Hunan University of Technology, Zhuzhou, China","institution_ids":["https://openalex.org/I49934816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":5.7392,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.96467117,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"18","issue":null,"first_page":"1778","last_page":"1791"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.8666999936103821,"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":0.8666999936103821,"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":0.8313999772071838,"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":0.8734710812568665},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6999763250350952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6301769614219666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6194984912872314},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6130175590515137},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.5257090926170349},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4461011588573456},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4346208870410919},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4112817347049713}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8734710812568665},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6999763250350952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6301769614219666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6194984912872314},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6130175590515137},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.5257090926170349},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4461011588573456},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4346208870410919},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4112817347049713},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3509538","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3509538","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":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:37270ea018134777b71cf38dbf07841b","is_oa":true,"landing_page_url":"https://doaj.org/article/37270ea018134777b71cf38dbf07841b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 1778-1791 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3509538","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3509538","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":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":[],"awards":[{"id":"https://openalex.org/G8415865217","display_name":null,"funder_award_id":"62303178","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1985973695","https://openalex.org/W2004104348","https://openalex.org/W2013251902","https://openalex.org/W2018482939","https://openalex.org/W2030716039","https://openalex.org/W2083541351","https://openalex.org/W2090424610","https://openalex.org/W2095975892","https://openalex.org/W2099244020","https://openalex.org/W2103094532","https://openalex.org/W2114819256","https://openalex.org/W2118246710","https://openalex.org/W2127199143","https://openalex.org/W2136251662","https://openalex.org/W2144966944","https://openalex.org/W2162698522","https://openalex.org/W2171171329","https://openalex.org/W2342652911","https://openalex.org/W2496621835","https://openalex.org/W2500751094","https://openalex.org/W2614326984","https://openalex.org/W2741786247","https://openalex.org/W2754507318","https://openalex.org/W2767805377","https://openalex.org/W2791006446","https://openalex.org/W2793941577","https://openalex.org/W2808776742","https://openalex.org/W2809635958","https://openalex.org/W2893945636","https://openalex.org/W2912961521","https://openalex.org/W2942454403","https://openalex.org/W2947058136","https://openalex.org/W2952956606","https://openalex.org/W2999446243","https://openalex.org/W3049655825","https://openalex.org/W3122028341","https://openalex.org/W3125460671","https://openalex.org/W3165894027","https://openalex.org/W4205971629","https://openalex.org/W4210379547","https://openalex.org/W4240485910","https://openalex.org/W4241716071","https://openalex.org/W4292825900","https://openalex.org/W4312569333","https://openalex.org/W4320339642","https://openalex.org/W4360995443","https://openalex.org/W4364323060","https://openalex.org/W4376454209","https://openalex.org/W4377079779","https://openalex.org/W4384162010","https://openalex.org/W4386212367","https://openalex.org/W4387449263","https://openalex.org/W4389778595","https://openalex.org/W4390692075","https://openalex.org/W4391020451","https://openalex.org/W4391092640","https://openalex.org/W4391528302","https://openalex.org/W4391594050","https://openalex.org/W4396941497","https://openalex.org/W4401819987"],"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/W2019190440","https://openalex.org/W2352553236"],"abstract_inverted_index":{"Extracting":[0],"discriminative":[1],"spectral-spatial":[2],"features":[3],"from":[4,23,162],"hyperspectral":[5],"images":[6],"(HSIs)":[7],"remains":[8],"a":[9,55,99,126,152],"crucial":[10],"topic":[11],"within":[12],"the":[13,40,64,140,163,174],"remote":[14],"sensing":[15],"community.":[16],"However,":[17],"most":[18],"feature":[19,59,102,130],"extraction":[20,60,103,131],"methods":[21],"suffer":[22],"coarse":[24],"textures,":[25],"leading":[26],"to":[27,94,158],"poor":[28],"performance":[29,46],"in":[30,48],"classifying":[31],"HSIs.":[32,97],"Moreover,":[33],"limited":[34],"training":[35],"samples":[36],"can":[37,122,148,177],"significantly":[38],"hinder":[39],"generalization":[41],"ability":[42],"of":[43,79,112,143],"classifiers,":[44],"hindering":[45],"improvements":[47],"HSI":[49],"classification.":[50],"To":[51],"address":[52],"these":[53],"issues,":[54],"proposed":[56,106,134,175],"dual-branch":[57],"structural":[58],"method":[61,81,104,132,176],"fully":[62],"leverages":[63],"global":[65,100,120],"and":[66,119,145],"local":[67,128,146],"information,":[68],"preserving":[69],"key":[70,77],"structures":[71],"while":[72],"removing":[73],"unimportant":[74],"textures.":[75],"The":[76],"steps":[78],"our":[80],"are":[82],"detailed":[83],"below:":[84],"First,":[85],"an":[86],"image":[87],"fusion":[88,154],"technique":[89],"is":[90,105,133,156],"performed":[91,167],"on":[92,117,139,168],"HSIs":[93,118],"obtain":[95],"dimension-reduced":[96],"Second,":[98],"multiscale":[101,129,136],"by":[107],"performing":[108],"different":[109,170],"parameter":[110],"settings":[111],"pyramid":[113],"texture":[114],"filtering":[115],"(PTF)":[116],"probability":[121,147],"be":[123,149],"obtained.":[124,150],"Third,":[125],"PTF-based":[127],"using":[135],"superpixel":[137],"segmentation":[138],"finest":[141],"layer":[142],"PTFs":[144],"Fourth,":[151],"decision":[153],"rule":[155],"applied":[157],"integrate":[159],"class":[160],"probabilities":[161],"two":[164],"branches.":[165],"Experiments":[166],"three":[169],"datasets":[171],"demonstrate":[172],"that":[173],"outperform":[178],"other":[179],"state-of-the-art":[180],"classification":[181],"methods.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":20}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
