{"id":"https://openalex.org/W4388937378","doi":"https://doi.org/10.1109/icccnt56998.2023.10308273","title":"Novel hybrid classifier synergizing 3D_2D CNN with Support Vector Machine to enhance Hyperspectral image classification","display_name":"Novel hybrid classifier synergizing 3D_2D CNN with Support Vector Machine to enhance Hyperspectral image classification","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388937378","doi":"https://doi.org/10.1109/icccnt56998.2023.10308273"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10308273","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10308273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5100651953","display_name":"S. Sridevi","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sridevi S","raw_affiliation_strings":["Vellore Institute of Technology,SCOPE,Chennai","SCOPE, Vellore Institute of Technology, Chennai"],"affiliations":[{"raw_affiliation_string":"Vellore Institute of Technology,SCOPE,Chennai","institution_ids":["https://openalex.org/I876193797"]},{"raw_affiliation_string":"SCOPE, Vellore Institute of Technology, Chennai","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111158330","display_name":"V V V Bhagya Sree","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"V V V Bhagya Sree","raw_affiliation_strings":["Amrita School of Computing,Computer Science and Engg.,Chennai","Computer Science and Engg., Amrita School of Computing, Chennai"],"affiliations":[{"raw_affiliation_string":"Amrita School of Computing,Computer Science and Engg.,Chennai","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Computer Science and Engg., Amrita School of Computing, Chennai","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048540378","display_name":"R Sudarshan","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sudarshan R","raw_affiliation_strings":["Amrita School of Computing,Computer Science and Engg.,Chennai","Computer Science and Engg., Amrita School of Computing, Chennai"],"affiliations":[{"raw_affiliation_string":"Amrita School of Computing,Computer Science and Engg.,Chennai","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"Computer Science and Engg., Amrita School of Computing, Chennai","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093324046","display_name":"R PrasannaKumar","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"PrasannaKumar R","raw_affiliation_strings":["Amrita School of Computing,CSE,Chennai","CSE, Amrita School of Computing, Chennai"],"affiliations":[{"raw_affiliation_string":"Amrita School of Computing,CSE,Chennai","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"CSE, Amrita School of Computing, Chennai","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018338069","display_name":"M Shanmugakumar","orcid":null},"institutions":[{"id":"https://openalex.org/I39244652","display_name":"Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram","ror":"https://ror.org/023c9pb11","country_code":"IN","type":"education","lineage":["https://openalex.org/I39244652"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shanmugakumar M","raw_affiliation_strings":["MATIC IIITDM,Kancheepuram","MATIC IIITDM, Kancheepuram"],"affiliations":[{"raw_affiliation_string":"MATIC IIITDM,Kancheepuram","institution_ids":["https://openalex.org/I39244652"]},{"raw_affiliation_string":"MATIC IIITDM, Kancheepuram","institution_ids":["https://openalex.org/I39244652"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029442865","display_name":"E Balasubramanian","orcid":"https://orcid.org/0000-0002-6299-005X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Balasubramanian E","raw_affiliation_strings":["Mechanical Engineering NITTR,Taramani, Chennai","Mechanical Engineering NITTR, Taramani, Chennai"],"affiliations":[{"raw_affiliation_string":"Mechanical Engineering NITTR,Taramani, Chennai","institution_ids":[]},{"raw_affiliation_string":"Mechanical Engineering NITTR, Taramani, Chennai","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114102016","display_name":"G. Surendar","orcid":null},"institutions":[{"id":"https://openalex.org/I1330855593","display_name":"Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology","ror":"https://ror.org/05bc5bx80","country_code":"IN","type":"education","lineage":["https://openalex.org/I1330855593"]},{"id":"https://openalex.org/I4399598377","display_name":"Institute of Science and Technology","ror":"https://ror.org/02wxm3f24","country_code":null,"type":"education","lineage":["https://openalex.org/I155028946","https://openalex.org/I4399598377"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Surendar G","raw_affiliation_strings":["Institute of Science and Technology,Aeronautical Engg VelTech Rangarajan Dr. Sagunthala R&amp;D,Chennai"],"affiliations":[{"raw_affiliation_string":"Institute of Science and Technology,Aeronautical Engg VelTech Rangarajan Dr. Sagunthala R&amp;D,Chennai","institution_ids":["https://openalex.org/I1330855593","https://openalex.org/I4399598377"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101654957","display_name":"S Balachandran","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Balachandran S","raw_affiliation_strings":["Amrita School of Computing,Central Library,Chennai","Central Library, Amrita School of Computing, Chennai"],"affiliations":[{"raw_affiliation_string":"Amrita School of Computing,Central Library,Chennai","institution_ids":[]},{"raw_affiliation_string":"Central Library, Amrita School of Computing, Chennai","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028101738","display_name":"T. Kanimozhi","orcid":"https://orcid.org/0009-0003-7590-2746"},"institutions":[{"id":"https://openalex.org/I1330855593","display_name":"Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology","ror":"https://ror.org/05bc5bx80","country_code":"IN","type":"education","lineage":["https://openalex.org/I1330855593"]},{"id":"https://openalex.org/I4399598377","display_name":"Institute of Science and Technology","ror":"https://ror.org/02wxm3f24","country_code":null,"type":"education","lineage":["https://openalex.org/I155028946","https://openalex.org/I4399598377"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kanimozhi T","raw_affiliation_strings":["Institute of Science and Technology,ECE VelTech Rangarajan Dr.Sagunthala R&amp;D,Chennai"],"affiliations":[{"raw_affiliation_string":"Institute of Science and Technology,ECE VelTech Rangarajan Dr.Sagunthala R&amp;D,Chennai","institution_ids":["https://openalex.org/I1330855593","https://openalex.org/I4399598377"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017204528","display_name":"Jae Sung Choi","orcid":"https://orcid.org/0000-0001-5408-9029"},"institutions":[{"id":"https://openalex.org/I51926615","display_name":"Sun Moon University","ror":"https://ror.org/009e5cd49","country_code":"KR","type":"education","lineage":["https://openalex.org/I51926615"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae Sung Choi","raw_affiliation_strings":["Sun Moon University,Department of CSE,Asan-si,Korea","Department of CSE, Sun Moon University, Asan-si, Korea"],"affiliations":[{"raw_affiliation_string":"Sun Moon University,Department of CSE,Asan-si,Korea","institution_ids":["https://openalex.org/I51926615"]},{"raw_affiliation_string":"Department of CSE, Sun Moon University, Asan-si, Korea","institution_ids":["https://openalex.org/I51926615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109725159","display_name":"M Rithani","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rithani M","raw_affiliation_strings":["Amrita School of Computing,CSE,Chennai","CSE, Amrita School of Computing, Chennai"],"affiliations":[{"raw_affiliation_string":"Amrita School of Computing,CSE,Chennai","institution_ids":["https://openalex.org/I81556334"]},{"raw_affiliation_string":"CSE, Amrita School of Computing, Chennai","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5100651953"],"corresponding_institution_ids":["https://openalex.org/I876193797"],"apc_list":null,"apc_paid":null,"fwci":0.1625,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53555854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"528","issue":null,"first_page":"1","last_page":"6"},"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":0.9926999807357788,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9603999853134155,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8008601069450378},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7496687769889832},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7377049326896667},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7190142273902893},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7124817371368408},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6594700217247009},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.623014509677887},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5715232491493225},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5250327587127686},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4753027856349945},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44725704193115234},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4303734302520752},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4266264736652374}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8008601069450378},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7496687769889832},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7377049326896667},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7190142273902893},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7124817371368408},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6594700217247009},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.623014509677887},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5715232491493225},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5250327587127686},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4753027856349945},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44725704193115234},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4303734302520752},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4266264736652374}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10308273","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt56998.2023.10308273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2001298023","https://openalex.org/W2082495307","https://openalex.org/W2104269704","https://openalex.org/W2131864940","https://openalex.org/W2500751094","https://openalex.org/W2727524883","https://openalex.org/W2755146079","https://openalex.org/W2793272303","https://openalex.org/W2942454403","https://openalex.org/W3040978759","https://openalex.org/W3102259344","https://openalex.org/W3132524115","https://openalex.org/W3184654054","https://openalex.org/W3196540825","https://openalex.org/W3201414681","https://openalex.org/W4226002534","https://openalex.org/W4283770759","https://openalex.org/W4309474528","https://openalex.org/W4378191525","https://openalex.org/W6800836236"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W4387893611","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W2067407580","https://openalex.org/W4317486777","https://openalex.org/W4389669152","https://openalex.org/W2038514069","https://openalex.org/W2132083814","https://openalex.org/W1967233468"],"abstract_inverted_index":{"Hyperspectral":[0],"imaging":[1],"(HSI)":[2],"is":[3,150,190,243],"a":[4,107,128,244],"potent":[5],"tool":[6],"that":[7,112,209],"offers":[8],"accurate":[9],"identification":[10],"and":[11,15,30,33,57,95,127,158,175,217,225],"analysis":[12,26,173],"of":[13,74,146,156,258],"materials":[14],"objects":[16],"in":[17,51,154],"various":[18],"domains":[19],"ranging":[20],"from":[21,123],"remote":[22],"sensing,":[23],"agriculture,":[24],"chemo-metric":[25],"for":[27,99],"agricultural":[28],"products":[29],"bio-medical":[31],"applications,":[32],"much":[34],"more.":[35],"However,":[36],"accurately":[37,138],"categorizing":[38],"HSI":[39,124,166,204],"images":[40,125],"remains":[41],"challenging":[42],"due":[43],"to":[44,48,71,82,120,135,151,179,193,248],"high":[45],"dimensionality":[46,168],"pertaining":[47],"spectral":[49],"resolution":[50],"multiple":[52],"bands,":[53],"inadequate":[54],"training":[55],"samples,":[56],"pixel":[58],"mixing.":[59],"Deep":[60],"learning":[61,118],"Convolutional":[62],"Neural":[63],"Networks":[64],"(CNN)":[65],"have":[66],"undergone":[67],"development":[68],"over":[69],"time":[70,84],"process":[72],"data":[73],"varied":[75],"dimensions":[76],"as":[77],"1D":[78],"CNNs":[79,89,97],"were":[80],"developed":[81],"handle":[83],"series":[85],"data,":[86,94],"while":[87],"2D":[88,232],"operate":[90],"on":[91],"spatial":[92],"image":[93,167],"3D":[96,101,231],"evolved":[98],"processing":[100],"volumetric":[102],"data.":[103],"This":[104],"paper":[105],"proposes":[106],"synergistic":[108],"hybrid":[109,212,230,259],"classifier":[110,134,149],"model":[111,119],"generalizes":[113],"the":[114,195,199,210,219,236,249],"3D_2D":[115,176],"CNN":[116,233,252],"deep":[117],"extract":[121,180],"features":[122],"automatically":[126],"robust":[129,153],"Support":[130],"Vector":[131],"Machine":[132],"(SVM)":[133],"classify":[136],"them":[137],"with":[139,235,253],"less":[140,159],"computational":[141,226],"efficiency.":[142],"The":[143,162,228],"prominent":[144],"intention":[145],"this":[147],"proposed":[148,163,211,229],"be":[152],"terms":[155],"efficiency":[157],"computationally":[160],"complex.":[161],"method":[164],"involves":[165],"reduction":[169],"using":[170],"principal":[171],"component":[172],"(PCA)":[174],"convolutional":[177],"layers":[178],"significant":[181],"spectral-spatial":[182],"features.":[183],"These":[184],"feature":[185],"maps":[186],"are":[187],"flattened,":[188],"which":[189,242],"then":[191],"used":[192],"train":[194],"SVM":[196,237,255],"classifier.":[197,260],"On":[198],"Kennedy":[200],"Space":[201],"Centre":[202],"(KSC)":[203],"dataset,":[205],"experimental":[206],"results":[207],"demonstrate":[208],"technique":[213],"provides":[214],"excellent":[215],"accuracy":[216],"outperforms":[218],"modern":[220],"techniques":[221],"regarding":[222],"classification":[223],"precision":[224],"effectiveness.":[227],"synergized":[234],"approach":[238],"achieved":[239],"99.8%":[240],"accuracy,":[241],"1.31%":[245],"improvement":[246],"compared":[247],"existing":[250],"Cube":[251],"an":[254],"similar":[256],"kind":[257]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
