{"id":"https://openalex.org/W4402264715","doi":"https://doi.org/10.1109/igarss53475.2024.10641968","title":"Binary Classification of Remotely Sensed Images Using SVD Based GLCM Features in Quantum Framework","display_name":"Binary Classification of Remotely Sensed Images Using SVD Based GLCM Features in Quantum Framework","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402264715","doi":"https://doi.org/10.1109/igarss53475.2024.10641968"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641968","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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/A5014387602","display_name":"Archana Pai","orcid":"https://orcid.org/0000-0003-3476-4589"},"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":"Archana G. Pai","raw_affiliation_strings":["Indian Institute of Technology, Bombay,Center of Studies in Resources Engineering,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Bombay,Center of Studies in Resources Engineering,India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059951735","display_name":"Krishna Mohan Buddhiraju","orcid":"https://orcid.org/0000-0001-6815-8988"},"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":"Krishna M. Buddhiraju","raw_affiliation_strings":["Indian Institute of Technology, Bombay,Center of Studies in Resources Engineering,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Bombay,Center of Studies in Resources Engineering,India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052217638","display_name":"Surya S. Durbha","orcid":"https://orcid.org/0000-0003-1022-8378"},"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":"Surya S. Durbha","raw_affiliation_strings":["Indian Institute of Technology, Bombay,Center of Studies in Resources Engineering,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Bombay,Center of Studies in Resources Engineering,India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3055,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64286219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"13","issue":null,"first_page":"808","last_page":"811"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10020","display_name":"Quantum Information and Cryptography","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9296000003814697,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6905819177627563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6070978045463562},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5755190253257751},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5577046275138855},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5141394734382629},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5120804905891418},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1162799596786499}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6905819177627563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6070978045463562},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5755190253257751},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5577046275138855},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5141394734382629},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5120804905891418},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1162799596786499},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641968","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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":17,"referenced_works":["https://openalex.org/W1988445428","https://openalex.org/W2037891599","https://openalex.org/W2040013679","https://openalex.org/W2043233966","https://openalex.org/W2044465660","https://openalex.org/W2103956991","https://openalex.org/W2785318516","https://openalex.org/W2792946961","https://openalex.org/W2798434869","https://openalex.org/W3109410460","https://openalex.org/W3205572814","https://openalex.org/W3206424815","https://openalex.org/W3207479555","https://openalex.org/W4224257522","https://openalex.org/W4307472594","https://openalex.org/W4387803172","https://openalex.org/W6748116283"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Texture":[0],"feature":[1,22,108],"extraction":[2,23],"is":[3,24,85],"very":[4,214],"important":[5],"in":[6],"landuse":[7],"land":[8],"cover(LULC)":[9],"classification":[10,49,111],"of":[11,42,50,98,112],"satellite":[12],"images.":[13],"Through":[14],"this":[15,73],"paper,":[16],"a":[17,66,107,178],"new":[18],"method":[19,75],"for":[20,40,48,68,87,110],"texture":[21,70,146,204],"presented":[25],"which":[26,103],"uses":[27],"singular":[28,44,60,101],"value":[29],"decomposition(SVD)":[30],"and":[31,165,181,195,200],"gray":[32],"level":[33],"cooccurance":[34],"matrix":[35],"(GLCM).":[36],"Here":[37],"we":[38,188],"test":[39],"capabilities":[41],"the":[43,82,92,95,113,152,186,203],"values":[45,61,102,192],"thus":[46],"generated":[47,86],"textures.":[51],"We":[52,116,150,171],"also":[53],"try":[54],"to":[55,80,157,176],"find":[56],"out":[57],"if":[58],"these":[59],"can":[62],"be":[63],"used":[64,105,172],"as":[65,106,197],"substitute":[67],"Haralick":[69],"features.":[71],"In":[72],"proposed":[74,119],"sample":[76],"images":[77,126,132,141,153],"are":[78,104,193],"multi-thresholded":[79],"reduce":[81],"dimensionality.":[83],"GLCM":[84,99],"each":[88],"image-patch":[89],"after":[90],"applying":[91],"thresholds.":[93],"Later,":[94],"SVD":[96],"decomposition":[97],"provides":[100],"vector":[109],"image":[114],"patches.":[115],"evaluated":[117],"our":[118],"technique":[120],"based":[121],"on":[122],"three":[123],"criteria":[124],"a)":[125],"from":[127,133,142],"totally":[128],"different":[129,138,148],"classes":[130],"b)":[131],"same":[134,143,145],"class":[135],"but":[136,147],"with":[137,209],"textures":[139,198],"c)":[140],"class,":[144],"orientation.":[149],"classified":[151],"using":[154,160,167,183],"minimum":[155],"distance":[156],"mean(MDM),":[158],"SVM":[159,166],"radial":[161],"bias":[162],"kernel":[163,169,180,211],"(cSVM)":[164],"quantum":[168,179,210],"(qSVM).":[170],"IBM":[173],"gate-based":[174],"qiskit":[175],"generate":[177],"classify":[182],"qSVM.":[184],"From":[185],"experiment":[187],"conclude":[189],"that":[190],"singluar":[191],"good":[194],"stable":[196],"features":[199],"greatly":[201],"enhance":[202],"classification.":[205],"Singular":[206],"Values":[207],"along":[208],"have":[212],"produced":[213],"promising":[215],"results.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
