{"id":"https://openalex.org/W2891903546","doi":"https://doi.org/10.1109/icip.2018.8451637","title":"Class Specific Coders for Hyper-Spectral Image Classification","display_name":"Class Specific Coders for Hyper-Spectral Image Classification","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2891903546","doi":"https://doi.org/10.1109/icip.2018.8451637","mag":"2891903546"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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":"https://openalex.org/A5022708097","display_name":"Sanatan Sharma","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":"Sanatan Sharma","raw_affiliation_strings":["Dept. of CSE, IIT Roorkee"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of CSE, IIT Roorkee","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035927317","display_name":"Akashdeep Goel","orcid":"https://orcid.org/0000-0002-7903-7759"},"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":"Akashdeep Goel","raw_affiliation_strings":["Dept. of CSE, IIT Roorkee"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of CSE, IIT Roorkee","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012347903","display_name":"Omkar Gune","orcid":null},"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":"Omkar Gune","raw_affiliation_strings":["Dept. of EE, IIT Bombay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of EE, IIT Bombay","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020786167","display_name":"Biplab Banerjee","orcid":"https://orcid.org/0000-0001-8371-8138"},"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":"Biplab Banerjee","raw_affiliation_strings":["Dept. of CSE, IIT Roorkee"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of CSE, IIT Roorkee","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016405213","display_name":"Subhasis Chaudhuri","orcid":"https://orcid.org/0000-0002-1680-0016"},"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":"Subhasis Chaudhuri","raw_affiliation_strings":["Dept. of EE, IIT Bombay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of EE, IIT Bombay","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3873,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53137668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3304","last_page":"3308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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":0.9994000196456909,"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":0.991599977016449,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9887999892234802,"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/computer-science","display_name":"Computer science","score":0.7026494145393372},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6658986806869507},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6469628810882568},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6148087382316589},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5743119716644287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5284889936447144},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4604085385799408},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.45646584033966064},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45194485783576965},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.43726375699043274},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4044059216976166},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16418784856796265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7026494145393372},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6658986806869507},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6469628810882568},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6148087382316589},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5743119716644287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5284889936447144},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4604085385799408},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.45646584033966064},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45194485783576965},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.43726375699043274},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4044059216976166},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16418784856796265},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1840338487","https://openalex.org/W1990895816","https://openalex.org/W2025768430","https://openalex.org/W2070424424","https://openalex.org/W2118858186","https://openalex.org/W2157621128","https://openalex.org/W2179290474","https://openalex.org/W2218318129","https://openalex.org/W2219715551","https://openalex.org/W2314785379","https://openalex.org/W2345128667","https://openalex.org/W2467604901","https://openalex.org/W2511630356","https://openalex.org/W2519929712","https://openalex.org/W2750586932","https://openalex.org/W2765455392","https://openalex.org/W2770641139","https://openalex.org/W2962840515","https://openalex.org/W6677919164","https://openalex.org/W6688386640","https://openalex.org/W6720208624","https://openalex.org/W6745470980"],"related_works":["https://openalex.org/W2368824897","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W1950940422","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W4283822356","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2129146436"],"abstract_inverted_index":{"In":[0,46],"this":[1],"paper,":[2],"we":[3,110],"introduce":[4,111],"the":[5,40,62,66,93,98,106,117,122,130,139],"paradigm":[6],"of":[7,14,25,42,56,76,97,120,145],"class":[8,81,123],"specific":[9,124],"coders":[10,99],"(CSC)":[11],"for":[12,72,79,86],"classification":[13],"hyper-spectral":[15],"images":[16],"(HSI).":[17],"Apparently,":[18],"CSC":[19,63,107,140],"are":[20,100,108],"defined":[21],"as":[22],"a":[23,30,34,43,112,143],"set":[24],"distinct":[26],"encoder-decoder":[27],"(henceforth":[28],"called":[29],"coder)":[31],"networks":[32],"where":[33],"given":[35],"coder":[36],"is":[37,90],"trained":[38],"on":[39,65,129],"samples":[41,78],"particular":[44],"class.":[45],"contrast":[47],"to":[48,102],"auto-encoders":[49],"(AE)":[50],"which":[51],"learn":[52],"an":[53,59],"identity":[54],"mapping":[55],"data":[57],"in":[58,82],"unsupervised":[60],"fashion,":[61],"model,":[64],"other":[67],"hand,":[68],"learns":[69],"re-constructive":[70],"mappings":[71],"all":[73,121],"possible":[74],"pairs":[75],"training":[77],"each":[80,103],"separate":[83],"coders.":[84,125],"Further,":[85],"reducing":[87],"redundancy,":[88],"it":[89],"ensured":[91],"that":[92,138],"latent":[94,118],"space":[95],"dimensions":[96],"orthogonal":[101],"other.":[104],"Once":[105],"trained,":[109],"feature":[113],"encoding":[114],"by":[115],"concatenating":[116],"representations":[119],"Experimental":[126],"results":[127],"obtained":[128],"benchmark":[131],"Botswana":[132],"and":[133],"Indian":[134],"Pines":[135],"datasets":[136],"ensure":[137],"model":[141],"outperforms":[142],"number":[144],"AE":[146],"variants":[147],"significantly.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}