{"id":"https://openalex.org/W2888214130","doi":"https://doi.org/10.3390/ijgi7090349","title":"Joint Alternate Small Convolution and Feature Reuse for Hyperspectral Image Classification","display_name":"Joint Alternate Small Convolution and Feature Reuse for Hyperspectral Image Classification","publication_year":2018,"publication_date":"2018-08-26","ids":{"openalex":"https://openalex.org/W2888214130","doi":"https://doi.org/10.3390/ijgi7090349","mag":"2888214130"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi7090349","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi7090349","pdf_url":"https://www.mdpi.com/2220-9964/7/9/349/pdf?version=1535257570","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/7/9/349/pdf?version=1535257570","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044826967","display_name":"Hongmin Gao","orcid":"https://orcid.org/0000-0002-8404-2464"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmin Gao","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101651972","display_name":"Yao Yang","orcid":"https://orcid.org/0000-0002-0261-5020"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Yang","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100703820","display_name":"Chenming Li","orcid":"https://orcid.org/0000-0002-6643-2039"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenming Li","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621158","display_name":"Hui Zhou","orcid":"https://orcid.org/0000-0001-6376-2764"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Zhou","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014604294","display_name":"Xiaoyu Qu","orcid":"https://orcid.org/0009-0008-9162-3321"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Qu","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100703820"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":2.091,"has_fulltext":true,"cited_by_count":46,"citation_normalized_percentile":{"value":0.89364609,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":"9","first_page":"349","last_page":"349"},"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":0.9947999715805054,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9379000067710876,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8797985315322876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6957373023033142},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6655383706092834},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.661346435546875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6511144638061523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6469184160232544},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6411929130554199},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.6101388931274414},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5234876871109009},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.48412713408470154},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4554147720336914},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.4463042914867401},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4363780915737152},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.41977035999298096},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2986831068992615},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1762533187866211},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09277167916297913},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08807921409606934}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8797985315322876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6957373023033142},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6655383706092834},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.661346435546875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6511144638061523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6469184160232544},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6411929130554199},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6101388931274414},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5234876871109009},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.48412713408470154},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4554147720336914},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.4463042914867401},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4363780915737152},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.41977035999298096},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2986831068992615},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1762533187866211},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09277167916297913},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08807921409606934},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"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/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","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":3,"locations":[{"id":"doi:10.3390/ijgi7090349","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi7090349","pdf_url":"https://www.mdpi.com/2220-9964/7/9/349/pdf?version=1535257570","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a7050605a02b4c3b824cd2981a7b5db1","is_oa":true,"landing_page_url":"https://doaj.org/article/a7050605a02b4c3b824cd2981a7b5db1","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISPRS International Journal of Geo-Information, Vol 7, Iss 9, p 349 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2220-9964/7/9/349/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/ijgi7090349","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"ISPRS International Journal of Geo-Information","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/ijgi7090349","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi7090349","pdf_url":"https://www.mdpi.com/2220-9964/7/9/349/pdf?version=1535257570","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.75}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1324336960","display_name":null,"funder_award_id":"2018B16314","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1499800996","display_name":null,"funder_award_id":"2015BAB07B01","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G1791518655","display_name":null,"funder_award_id":"2018M632215","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G1982952659","display_name":null,"funder_award_id":"No. 2018B16314","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2694071969","display_name":null,"funder_award_id":"2018M632215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2913994718","display_name":null,"funder_award_id":"No. 61701166","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3181640157","display_name":null,"funder_award_id":"2015BAB07B01","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3302288881","display_name":null,"funder_award_id":"61701166","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3950780061","display_name":null,"funder_award_id":"61701166","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4585096670","display_name":null,"funder_award_id":"No. 2018M632215","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5555804257","display_name":null,"funder_award_id":"2018M632215","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5760752404","display_name":null,"funder_award_id":"Projects","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G630077093","display_name":null,"funder_award_id":"No. 2018","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6447827684","display_name":null,"funder_award_id":"2018B16314","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6832646832","display_name":null,"funder_award_id":"2015BAB07B01","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7780167058","display_name":null,"funder_award_id":"2018B16314","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8491900668","display_name":null,"funder_award_id":"61701166","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2888214130.pdf","grobid_xml":"https://content.openalex.org/works/W2888214130.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1521436688","https://openalex.org/W1677182931","https://openalex.org/W1950843348","https://openalex.org/W1966580635","https://openalex.org/W2032483883","https://openalex.org/W2090424610","https://openalex.org/W2097117768","https://openalex.org/W2098057602","https://openalex.org/W2104343098","https://openalex.org/W2112796928","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2250547309","https://openalex.org/W2415330190","https://openalex.org/W2500751094","https://openalex.org/W2519653196","https://openalex.org/W2534138585","https://openalex.org/W2547852346","https://openalex.org/W2572303978","https://openalex.org/W2601564443","https://openalex.org/W2614256707","https://openalex.org/W2742622811","https://openalex.org/W2767651786","https://openalex.org/W2806155925","https://openalex.org/W2963125010","https://openalex.org/W2963366243","https://openalex.org/W3098435832","https://openalex.org/W3103753223","https://openalex.org/W3106141888","https://openalex.org/W6786515285"],"related_works":["https://openalex.org/W1982418987","https://openalex.org/W1978077614","https://openalex.org/W4327563507","https://openalex.org/W2603494857","https://openalex.org/W3128011703","https://openalex.org/W2024377932","https://openalex.org/W2799746630","https://openalex.org/W4310079726","https://openalex.org/W4390582117","https://openalex.org/W2889956472"],"abstract_inverted_index":{"A":[0],"hyperspectral":[1,151,239,283],"image":[2],"(HSI)":[3],"contains":[4],"fine":[5],"and":[6,10,34,53,195,203,231,242,277,303],"rich":[7],"spectral":[8,101,116,148],"information":[9,12,149],"spatial":[11],"of":[13,67,70,135,150,179,187,191,205,214,288,305],"ground":[14],"objects,":[15],"which":[16],"has":[17,46,54,94],"great":[18],"potential":[19],"in":[20,27,50,87,108,172,251],"applications.":[21],"It":[22],"is":[23,82,111,160,263],"also":[24,144],"widely":[25],"used":[26,49,264],"precision":[28],"agriculture,":[29],"marine":[30],"monitoring,":[31],"military":[32],"reconnaissance":[33],"many":[35],"other":[36],"fields.":[37],"In":[38,125],"recent":[39],"years,":[40],"a":[41,106,114,154,255],"convolutional":[42,158,170,181,199],"neural":[43],"network":[44],"(CNN)":[45],"been":[47],"successfully":[48],"HSI":[51,76,85,110,166,296],"classification":[52,62,86,257,301],"provided":[55],"it":[56],"with":[57,165,226],"outstanding":[58],"capacity":[59],"for":[60,75,84],"improving":[61],"effects.":[63],"To":[64],"get":[65],"rid":[66],"the":[68,121,133,147,169,173,188,212,215,245,267,274,282,286,289,299,306],"bondage":[69],"strong":[71,136],"correlation":[72,137],"among":[73,123,138],"bands":[74,139],"classification,":[77,141],"an":[78,109,249],"effective":[79],"CNN":[80,92,175],"architecture":[81,93,128,176,189],"proposed":[83,91,174,307],"this":[88,127],"work.":[89],"The":[90,201],"several":[95],"distinct":[96],"advantages.":[97],"First,":[98],"each":[99,206],"1D":[100],"vector":[102],"that":[103],"corresponds":[104],"to":[105,162,248,253,265,272],"pixel":[107],"transformed":[112],"into":[113],"2D":[115],"feature":[117,221,232],"matrix,":[118],"thereby":[119,219],"emphasizing":[120],"difference":[122],"samples.":[124],"addition,":[126],"can":[129,143,234],"not":[130],"only":[131],"weaken":[132],"influence":[134],"on":[140,293],"but":[142],"fully":[145,269],"utilize":[146],"data.":[152],"Furthermore,":[153],"1":[155,157,192,194],"\u00d7":[156,193,197],"layer":[159,208,271],"adopted":[161],"better":[163],"deal":[164],"information.":[167],"All":[168],"layers":[171,186],"are":[177,209],"composed":[178],"small":[180,229],"kernels.":[182],"Moreover,":[183],"cascaded":[184],"composite":[185,207,217],"consist":[190],"3":[196,198],"layers.":[200],"inputs":[202,213],"outputs":[204],"stitched":[210],"as":[211],"next":[216],"layer,":[218],"accomplishing":[220],"reuse.":[222],"This":[223],"special":[224],"module":[225],"joint":[227],"alternate":[228],"convolution":[230],"reuse":[233],"extract":[235,278],"high-level":[236],"features":[237,280],"from":[238,281],"data":[240,284],"meticulously":[241],"comprehensively":[243],"solve":[244],"overfitting":[246],"problem":[247],"extent,":[250],"order":[252],"obtain":[254],"considerable":[256],"effect.":[258],"Finally,":[259],"global":[260],"average":[261],"pooling":[262],"replace":[266],"traditional":[268],"connected":[270],"reduce":[273],"model":[275],"parameters":[276],"high-dimensional":[279],"at":[285],"end":[287],"architecture.":[290],"Experimental":[291],"results":[292],"three":[294],"benchmark":[295],"datasets":[297],"show":[298],"high":[300],"accuracy":[302],"effectiveness":[304],"method.":[308]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
