{"id":"https://openalex.org/W1634936778","doi":"https://doi.org/10.1109/icacci.2015.7275705","title":"Sub pixel level arrangement of spatial dependences to improve classification accuracy","display_name":"Sub pixel level arrangement of spatial dependences to improve classification accuracy","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1634936778","doi":"https://doi.org/10.1109/icacci.2015.7275705","mag":"1634936778"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2015.7275705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2015.7275705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"},"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":"Suresh Merugu","orcid":null},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suresh Merugu","raw_affiliation_strings":["Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India","Indian Institute of Technology, Roorkee Uttarakhand India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"Indian Institute of Technology, Roorkee Uttarakhand India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059751627","display_name":"Arun Kumar","orcid":"https://orcid.org/0000-0002-5827-6865"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arun Kumar Rai","raw_affiliation_strings":["Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India","Indian Institute of Technology, Roorkee Uttarakhand India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"Indian Institute of Technology, Roorkee Uttarakhand India","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041706388","display_name":"Kamal Jain","orcid":"https://orcid.org/0000-0001-5153-0405"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kamal Jain","raw_affiliation_strings":["Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India","Indian Institute of Technology, Roorkee Uttarakhand India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India","institution_ids":["https://openalex.org/I154851008"]},{"raw_affiliation_string":"Indian Institute of Technology, Roorkee Uttarakhand India","institution_ids":["https://openalex.org/I154851008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154851008"],"apc_list":null,"apc_paid":null,"fwci":2.1514,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86635614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"779","last_page":"786"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subpixel-rendering","display_name":"Subpixel rendering","score":0.9518465399742126},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.8925182819366455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6685893535614014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6397841572761536},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5306671261787415},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5292954444885254},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.45829400420188904},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4390050172805786},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4314464032649994},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4252219796180725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2803117036819458},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08889120817184448}],"concepts":[{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.9518465399742126},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8925182819366455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6685893535614014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6397841572761536},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5306671261787415},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5292954444885254},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.45829400420188904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4390050172805786},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4314464032649994},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4252219796180725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2803117036819458},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08889120817184448},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2015.7275705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2015.7275705","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W163964356","https://openalex.org/W436320942","https://openalex.org/W1974884110","https://openalex.org/W1979149796","https://openalex.org/W1983720606","https://openalex.org/W1987324141","https://openalex.org/W1991018729","https://openalex.org/W2015080572","https://openalex.org/W2026999441","https://openalex.org/W2044451987","https://openalex.org/W2081155276","https://openalex.org/W2089038605","https://openalex.org/W2117805579","https://openalex.org/W2151747974","https://openalex.org/W2170537018","https://openalex.org/W4237869505","https://openalex.org/W4253856589","https://openalex.org/W6606733025"],"related_works":["https://openalex.org/W2120293966","https://openalex.org/W2142380919","https://openalex.org/W2048225904","https://openalex.org/W1971218353","https://openalex.org/W2137653915","https://openalex.org/W4312705334","https://openalex.org/W2004818310","https://openalex.org/W2063406554","https://openalex.org/W3088281917","https://openalex.org/W2965846399"],"abstract_inverted_index":{"The":[0,80],"colors":[1,123],"in":[2,30,33,124],"universe":[3],"have":[4],"sharp":[5],"boundaries":[6],"everybody":[7],"is":[8,100,109,143],"aware":[9],"of":[10,51,63,75,82,88,95,101,137,159],"specifically":[11],"wherever":[12,17],"a":[13,34,125],"color":[14,23,133],"starts":[15],"and":[16,20,38,90,151],"it":[18],"ends":[19],"that":[21,39,128],"any":[22],"communicates":[24],"the":[25,28,31,49,58,73,86,105,116,122,129,132,146,155,164],"details":[26],"about":[27],"targets":[29],"scene":[32],"much":[35],"better":[36],"way":[37],"this":[40,56],"detailed":[41],"information":[42,71,147],"can":[43],"be":[44],"used":[45],"to":[46,92,144,162],"further":[47],"polish":[48],"interpretation":[50],"an":[52],"imaging":[53],"system.":[54],"In":[55],"paper,":[57],"proposed":[59],"subpixel":[60,152,156],"level":[61,157],"arrangements":[62,158],"spatial":[64,160],"dependences":[65,161],"provide":[66],"super":[67,165],"resolved":[68,166],"landuse":[69],"landcover":[70],"using":[72],"output":[74,81],"soft":[76,83],"classified":[77],"fractional":[78,102],"values.":[79],"classifier":[84],"satisfies":[85],"constraint":[87],"non-negativity":[89],"sum":[91],"1":[93],"instead":[94],"whatever":[96],"their":[97],"\u201cnatural\u201d":[98],"total":[99],"abundance":[103],"within":[104],"pixels.":[106],"This":[107,139],"phenomenon":[108],"also":[110],"discussed":[111],"while":[112],"defining":[113],"mixed":[114,149],"pixels,":[115],"pixels":[117,150],"at":[118],"boundary":[119],"contain":[120],"both":[121],"proportion":[126],"so":[127],"pixel":[130],"appears":[131],"different":[134],"from":[135,148],"either":[136],"two.":[138],"paper":[140],"main":[141],"goal":[142],"extract":[145],"analysis":[153],"with":[154],"get":[163],"information.":[167]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}