{"id":"https://openalex.org/W3106967300","doi":"https://doi.org/10.1109/jstars.2020.3041868","title":"A Novel Feature Fusion Approach for VHR Remote Sensing Image Classification","display_name":"A Novel Feature Fusion Approach for VHR Remote Sensing Image Classification","publication_year":2020,"publication_date":"2020-12-02","ids":{"openalex":"https://openalex.org/W3106967300","doi":"https://doi.org/10.1109/jstars.2020.3041868","mag":"3106967300"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2020.3041868","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3041868","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09277624.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/ielx7/4609443/9314330/09277624.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100684827","display_name":"Sicong Liu","orcid":"https://orcid.org/0000-0003-1612-4844"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sicong Liu","raw_affiliation_strings":["College of Surveying and Geoinformatics, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1612-4844","affiliations":[{"raw_affiliation_string":"College of Surveying and Geoinformatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037069703","display_name":"Yongjie Zheng","orcid":"https://orcid.org/0000-0002-7030-6713"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjie Zheng","raw_affiliation_strings":["College of Surveying and Geoinformatics, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geoinformatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033017179","display_name":"Qian Du","orcid":"https://orcid.org/0000-0001-8354-7500"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Qian Du","raw_affiliation_strings":["College of Surveying and Geoinformatics, Tongji University, Shanghai, China","Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA"],"raw_orcid":"https://orcid.org/0000-0001-8354-7500","affiliations":[{"raw_affiliation_string":"College of Surveying and Geoinformatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089631478","display_name":"Alim Samat","orcid":"https://orcid.org/0000-0002-9091-6033"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210103115","display_name":"Xinjiang Institute of Ecology and Geography","ror":"https://ror.org/01a8ev928","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210103115"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Alim Samat","raw_affiliation_strings":["Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China"],"raw_orcid":"https://orcid.org/0000-0002-9091-6033","affiliations":[{"raw_affiliation_string":"Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210103115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039348214","display_name":"Xiaohua Tong","orcid":"https://orcid.org/0000-0002-1045-3797"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Tong","raw_affiliation_strings":["College of Surveying and Geoinformatics, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1045-3797","affiliations":[{"raw_affiliation_string":"College of Surveying and Geoinformatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055675691","display_name":"Michele Dalponte","orcid":"https://orcid.org/0000-0001-9850-8985"},"institutions":[{"id":"https://openalex.org/I103225651","display_name":"Fondazione Edmund Mach","ror":"https://ror.org/0381bab64","country_code":"IT","type":"other","lineage":["https://openalex.org/I103225651"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Dalponte","raw_affiliation_strings":["Department of Sustainable Agro-Ecosystems and Bioresources, Research and Innovation Centre, Fondazione E. Mach, San Michele all'Adige, Italy"],"raw_orcid":"https://orcid.org/0000-0001-9850-8985","affiliations":[{"raw_affiliation_string":"Department of Sustainable Agro-Ecosystems and Bioresources, Research and Innovation Centre, Fondazione E. Mach, San Michele all'Adige, Italy","institution_ids":["https://openalex.org/I103225651"]}]}],"institutions":[],"countries_distinct_count":3,"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":1.8895,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.86810881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"14","issue":null,"first_page":"464","last_page":"473"},"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":0.9994999766349792,"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":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.7303980588912964},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7146221995353699},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.698975145816803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6845554709434509},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.627723217010498},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6023252010345459},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5585440397262573},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5486845970153809},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5153397917747498},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5062212347984314},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4672384560108185},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.45335686206817627},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3231055736541748},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24427637457847595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7303980588912964},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7146221995353699},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.698975145816803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6845554709434509},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.627723217010498},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6023252010345459},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5585440397262573},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5486845970153809},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5153397917747498},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5062212347984314},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4672384560108185},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.45335686206817627},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3231055736541748},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24427637457847595},{"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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jstars.2020.3041868","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3041868","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09277624.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:openpub.fmach.it:10449/65586","is_oa":true,"landing_page_url":"http://hdl.handle.net/10449/65586","pdf_url":"https://openpub.fmach.it/bitstream/10449/65586/5/2021%20IEEE%20Dalponte.pdf","source":{"id":"https://openalex.org/S4377196413","display_name":"CINECA IRIS Institutional Research Information System (Fondazione Edmund Mach)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I103225651","host_organization_name":"Fondazione Edmund Mach","host_organization_lineage":["https://openalex.org/I103225651"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:0ec6d144fd3b4e1d8353221ca5066288","is_oa":true,"landing_page_url":"https://doaj.org/article/0ec6d144fd3b4e1d8353221ca5066288","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 14, Pp 464-473 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2020.3041868","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2020.3041868","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9314330/09277624.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":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G3082951707","display_name":null,"funder_award_id":"41601354","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4694659516","display_name":"\u878d\u5408\u591a\u65f6\u76f8\u6df1\u6d45\u7279\u5f81\u7684\u9ad8\u5149\u8c31\u536b\u661f\u9065\u611f\u5f71\u50cf\u81ea\u52a8\u53d8\u5316\u68c0\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"42071324","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6343612571","display_name":"\u65f6\u95f4-\u7a7a\u95f4-\u573a\u666f\u7279\u5f81\u9a71\u52a8\u4e0b\u7684\u201c\u9b3c\u57ce\u73b0\u8c61\u201d\u9065\u611f\u8bc6\u522b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"42001387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6660855116","display_name":null,"funder_award_id":"2018YFB0505000","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7548913080","display_name":null,"funder_award_id":"2018YFB0505000","funder_id":"https://openalex.org/F4320336026","funder_display_name":"National Key Research and Development Program of China Stem Cell and Translational Research"},{"id":"https://openalex.org/G8802122564","display_name":"\u6837\u672c\u4e0e\u7279\u5f81\u8fc1\u79fb\u7684\u4e2d\u4e9a\u5178\u578b\u57ce\u5e02\u8986\u88ab\u7cbe\u7ec6\u5206\u7c7b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"42071424","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"},{"id":"https://openalex.org/F4320321652","display_name":"Eidgen\u00f6ssische Technische Hochschule Z\u00fcrich","ror":"https://ror.org/05a28rw58"},{"id":"https://openalex.org/F4320336026","display_name":"National Key Research and Development Program of China Stem Cell and Translational Research","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3106967300.pdf","grobid_xml":"https://content.openalex.org/works/W3106967300.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1980007140","https://openalex.org/W2019338222","https://openalex.org/W2035285838","https://openalex.org/W2057540576","https://openalex.org/W2086576628","https://openalex.org/W2116702374","https://openalex.org/W2125188192","https://openalex.org/W2127199143","https://openalex.org/W2134451879","https://openalex.org/W2135228726","https://openalex.org/W2206367937","https://openalex.org/W2509181451","https://openalex.org/W2516031665","https://openalex.org/W2611868724","https://openalex.org/W2726981152","https://openalex.org/W2755992512","https://openalex.org/W2765939201","https://openalex.org/W2782805088","https://openalex.org/W2790694152","https://openalex.org/W2802187966","https://openalex.org/W2803057685","https://openalex.org/W2805106262","https://openalex.org/W2805177060","https://openalex.org/W2953308875","https://openalex.org/W2969881582","https://openalex.org/W2979753402","https://openalex.org/W2992362859","https://openalex.org/W3011625001","https://openalex.org/W3047443805","https://openalex.org/W3048631361","https://openalex.org/W3082700671","https://openalex.org/W3092065133","https://openalex.org/W3101012758","https://openalex.org/W3102692100","https://openalex.org/W3103695279"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331","https://openalex.org/W2095903272"],"abstract_inverted_index":{"This":[0],"article":[1],"develops":[2],"a":[3,22,90,171],"robust":[4],"feature":[5,26,39,85,166],"fusion":[6,27,40,45,74,156],"approach":[7,29,148],"to":[8,92,122],"enhance":[9],"the":[10,43,78,83,94,100,124,127,143,146,164,175],"classification":[11,95,160],"performance":[12,125],"of":[13,59,126,145,151,153],"very":[14],"high":[15],"resolution":[16],"(VHR)":[17],"remote":[18],"sensing":[19],"images.":[20],"Specifically,":[21],"novel":[23],"two-stage":[24],"multiple":[25,47,185],"(TsF)":[28],"is":[30,61,87,168],"proposed,":[31],"which":[32],"includes":[33],"an":[34,37,72],"intragroup":[35],"and":[36,105,116,158],"intergroup":[38,73],"stages.":[41],"In":[42,97],"first":[44],"stage,":[46],"features":[48,60,67,157,186],"are":[49,68,109,187],"grouped":[50],"by":[51],"clustering,":[52],"where":[53],"redundant":[54],"information":[55],"between":[56],"different":[57],"types":[58],"eliminated":[62],"within":[63],"each":[64],"group.":[65],"Then,":[66],"pairwisely":[69],"fused":[70,84,165],"in":[71,120,149],"model":[75],"based":[76],"on":[77,134],"guided":[79],"filtering":[80],"method.":[81],"Finally,":[82],"set":[86],"imported":[88],"into":[89],"classifier":[91],"generate":[93],"map.":[96],"this":[98],"work,":[99],"original":[101],"VHR":[102],"spectral":[103,115],"bands":[104],"their":[106],"attribute":[107],"profiles":[108],"taken":[110],"as":[111,113],"examples":[112],"input":[114],"spatial":[117],"features,":[118],"respectively,":[119],"order":[121],"test":[123],"proposed":[128,147],"TsF":[129],"approach.":[130],"Experimental":[131],"results":[132],"obtained":[133],"two":[135],"QuickBird":[136],"datasets":[137],"covering":[138],"complex":[139],"urban":[140],"scenarios":[141],"demonstrate":[142],"effectiveness":[144],"terms":[150],"generation":[152],"more":[154],"discriminative":[155],"enhancing":[159],"performance.":[161],"More":[162],"importantly,":[163],"dimensionality":[167],"limited":[169],"at":[170],"certain":[172],"level;":[173],"thus,":[174],"computational":[176],"cost":[177],"will":[178],"not":[179],"be":[180],"significantly":[181],"increased":[182],"even":[183],"if":[184],"considered.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
