{"id":"https://openalex.org/W4410228551","doi":"https://doi.org/10.1109/ingarss61818.2024.10984187","title":"Comparative Assessment of Spectral Reduction Techniques and Machine Learning Classifiers for Hyperspectral Image Classification","display_name":"Comparative Assessment of Spectral Reduction Techniques and Machine Learning Classifiers for Hyperspectral Image Classification","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4410228551","doi":"https://doi.org/10.1109/ingarss61818.2024.10984187"},"language":"en","primary_location":{"id":"doi:10.1109/ingarss61818.2024.10984187","doi":"https://doi.org/10.1109/ingarss61818.2024.10984187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ingarss61818.2024.10984187","pdf_url":null,"source":{"id":"https://openalex.org/S7407085884","display_name":"IEEE India Geoscience and Remote Sensing Symposium (InGARSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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":null,"display_name":"Samrat Sarkar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Samrat Sarkar","raw_affiliation_strings":["Indian Institute of Technology Bombay,Department of Earth Sciences,Mumbai,India,400076"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay,Department of Earth Sciences,Mumbai,India,400076","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062030799","display_name":"Ternikar Chirag Rajendra","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ternikar Chirag Rajendra","raw_affiliation_strings":["Indian Institute of Science,Department of Civil Engineering,Bengaluru,India,560012"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science,Department of Civil Engineering,Bengaluru,India,560012","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083573588","display_name":"D. Nagesh Kumar","orcid":"https://orcid.org/0000-0002-5294-8501","observed_orcids":["https://orcid.org/0000-0002-5294-8501"]},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D. Nagesh Kumar","raw_affiliation_strings":["Indian Institute of Science,Department of Civil Engineering,Bengaluru,India,560012"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science,Department of Civil Engineering,Bengaluru,India,560012","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.50253281,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-image-classification","display_name":"hyperspectral image classification","score":1.0},{"id":"https://openalex.org/keywords/spectral-reduction","display_name":"spectral reduction","score":0.7990000247955322},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.8450000286102295},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.9940000176429749},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"principal component analysis","score":0.9909999966621399},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"independent component analysis","score":1.0},{"id":"https://openalex.org/keywords/lasso","display_name":"LASSO","score":0.9869999885559082},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9900000095367432},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.7649999856948853},{"id":"https://openalex.org/keywords/high-dimensional-data","display_name":"high-dimensional data","score":0.5839999914169312},{"id":"https://openalex.org/keywords/indian-pines","display_name":"Indian Pines","score":0.9100000262260437},{"id":"https://openalex.org/keywords/university-of-pavia","display_name":"University of Pavia","score":0.9900000095367432},{"id":"https://openalex.org/keywords/botswana","display_name":"Botswana","score":0.9860000014305115}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.937120795249939},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6617002487182617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6526207327842712},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5774197578430176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5385435819625854},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5276678204536438},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4502028822898865},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32642513513565063},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29594358801841736},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1711893379688263},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ingarss61818.2024.10984187","doi":"https://doi.org/10.1109/ingarss61818.2024.10984187","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ingarss61818.2024.10984187","pdf_url":null,"source":{"id":"https://openalex.org/S7407085884","display_name":"IEEE India Geoscience and Remote Sensing Symposium (InGARSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310654","display_name":"Indian National Science Academy","ror":"https://ror.org/051475v86"},{"id":"https://openalex.org/F4320318035","display_name":"Indian Academy of Sciences","ror":"https://ror.org/00wdyp114"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2043945532","https://openalex.org/W2752650105","https://openalex.org/W2770177916","https://openalex.org/W2790275230","https://openalex.org/W2946072066","https://openalex.org/W2985246997","https://openalex.org/W2991616716","https://openalex.org/W3048506115","https://openalex.org/W3086277779","https://openalex.org/W3196493644","https://openalex.org/W4248253651","https://openalex.org/W4283172480","https://openalex.org/W4283821349","https://openalex.org/W4295845712","https://openalex.org/W4296760991"],"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/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W2546503577"],"abstract_inverted_index":{"High-dimensional":[0],"hyperspectral":[1],"images":[2],"(HSI)":[3],"offer":[4],"detailed":[5],"spectral":[6,24,55,128],"information":[7],"but":[8],"pose":[9],"challenges":[10,19],"due":[11],"to":[12],"their":[13],"complexity.":[14],"This":[15],"study":[16],"addresses":[17],"these":[18],"by":[20],"comparatively":[21],"analyzing":[22],"four":[23],"reduction":[25,56,119,129],"techniques:":[26],"Principal":[27],"Component":[28,32],"Analysis":[29,33],"(PCA),":[30],"Independent":[31],"(ICA),":[34],"Least":[35],"Absolute":[36],"Shrinkage":[37],"and":[38,42,52,70,83,92,109],"Selection":[39],"Operator":[40],"(LASSO),":[41],"Random":[43,106],"Forest.":[44],"These":[45],"techniques":[46,130],"are":[47],"forms":[48],"of":[49,104,112,127],"feature":[50,53,117],"extraction":[51,118],"selection":[54],"methods.":[57],"Their":[58],"impact":[59],"on":[60,75],"HSI":[61,133],"classification":[62],"was":[63],"evaluated":[64],"using":[65],"various":[66],"Machine":[67],"Learning":[68,72],"(ML)":[69],"Deep":[71],"(DL)":[73],"classifiers":[74],"three":[76],"benchmark":[77],"datasets:":[78],"Indian":[79],"Pines,":[80],"Pavia":[81],"University,":[82],"Botswana.":[84],"Performance":[85],"metrics,":[86],"including":[87],"overall":[88],"accuracy,":[89],"kappa":[90],"statistic,":[91],"confusion":[93],"matrix":[94],"analysis,":[95],"were":[96],"used":[97],"for":[98,131],"comparison.":[99],"Results":[100],"highlighted":[101],"the":[102,105,110,125],"robustness":[103],"Forest":[107],"classifier":[108,115],"compatibility":[111],"Neural":[113],"Networks":[114],"with":[116],"methods,":[120],"providing":[121],"valuable":[122],"insights":[123],"into":[124],"effectiveness":[126],"improved":[132],"classification.":[134]},"counts_by_year":[],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2025-10-10T00:00:00"}