{"id":"https://openalex.org/W2147405919","doi":null,"title":"A Study on Hyperspectral Remote Sensing Classifications","display_name":"A Study on Hyperspectral Remote Sensing Classifications","publication_year":2014,"publication_date":"2014-08-10","ids":{"openalex":"https://openalex.org/W2147405919","mag":"2147405919"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.735.9726","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.735.9726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.ijcaonline.org/icict/number3/icict1422.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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":"T. V. Sarath","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. V. Sarath","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039167570","display_name":"G. Nagalakshmi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I2801445914","display_name":"National Sanskrit University","ror":"https://ror.org/041xnqz41","country_code":"IN","type":"education","lineage":["https://openalex.org/I2801445914"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. Nagalakshmi","raw_affiliation_strings":["Rashtriya Sanskrit Vidyapeetha, Tirumala - Tirupati, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rashtriya Sanskrit Vidyapeetha, Tirumala - Tirupati, India","institution_ids":["https://openalex.org/I2801445914"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101801746","display_name":"S. Jyothi","orcid":"https://orcid.org/0000-0001-9549-2076","observed_orcids":["https://orcid.org/0000-0001-9549-2076"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Jyothi","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9549-2076","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2836,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83423899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":97},"biblio":{"volume":null,"issue":"3","first_page":"5","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social 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":0.8209999799728394},{"id":"https://openalex.org/keywords/hyperspectral-image-analysis","display_name":"hyperspectral image analysis","score":0.9179999828338623},{"id":"https://openalex.org/keywords/multispectral-image-processing","display_name":"multispectral image processing","score":0.722000002861023},{"id":"https://openalex.org/keywords/image-sensors","display_name":"image sensors","score":0.7509999871253967},{"id":"https://openalex.org/keywords/image-preprocessing","display_name":"image preprocessing","score":0.9959999918937683},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.9869999885559082},{"id":"https://openalex.org/keywords/object-segmentation","display_name":"object segmentation","score":0.9639999866485596},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":1.0},{"id":"https://openalex.org/keywords/supervised-classification","display_name":"supervised classification","score":0.9829999804496765},{"id":"https://openalex.org/keywords/unsupervised-classification","display_name":"unsupervised classification","score":1.0}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9255380034446716},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7603458166122437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7344510555267334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6894412040710449},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6703640818595886},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.607815682888031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5638665556907654},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.533829391002655},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5264654755592346},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5150853991508484},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4925869107246399},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4915247857570648},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.48966529965400696},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4464235305786133},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.43467244505882263},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.42043715715408325},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41235682368278503},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1786085069179535},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.735.9726","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.735.9726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.ijcaonline.org/icict/number3/icict1422.pdf","raw_type":"text"},{"id":"mag:2147405919","doi":null,"is_oa":false,"landing_page_url":"https://research.ijcaonline.org/icict/number3/icict1422.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419543","display_name":"International Conference on Information and Communication Technologies","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":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Information and Communication Technologies","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W571150846","https://openalex.org/W618778584","https://openalex.org/W2165780522","https://openalex.org/W2181904509","https://openalex.org/W3177200386"],"related_works":["https://openalex.org/W1517109601","https://openalex.org/W3040978759","https://openalex.org/W7096911243","https://openalex.org/W1594231918","https://openalex.org/W2975199868","https://openalex.org/W2359979970","https://openalex.org/W1604205604","https://openalex.org/W7171303568","https://openalex.org/W4387801696","https://openalex.org/W2955662358"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,50],"discuss":[4],"about":[5],"hyperspectral":[6,18],"image":[7,21,24,30,32],"processing":[8,22],"where":[9],"it":[10],"plays":[11],"an":[12],"important":[13],"role":[14],"in":[15],"remote":[16],"sensing,":[17],"verses":[19],"multispectral":[20],"and":[23,40,56],"classifications.":[25,58],"Where":[26],"these":[27],"classifications":[28,49],"includes":[29],"sensors,":[31],"preprocessing,":[33],"object":[34,36,41],"detection,":[35],"segmentation,":[37],"feature":[38],"extraction":[39],"classification.":[42],"Mainly":[43],"there":[44],"are":[45,51,54],"two":[46],"types":[47],"of":[48],"describing":[52],"they":[53],"supervised":[55],"unsupervised":[57]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-09-29T14:09:16.559479","created_date":"2016-06-24T00:00:00"}
