{"id":"https://openalex.org/W3015208655","doi":"https://doi.org/10.1109/iciis47346.2019.9063280","title":"Hyperspectral Imaging Based Method to Identify Potential Limestone Deposits","display_name":"Hyperspectral Imaging Based Method to Identify Potential Limestone Deposits","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3015208655","doi":"https://doi.org/10.1109/iciis47346.2019.9063280","mag":"3015208655"},"language":"en","primary_location":{"id":"doi:10.1109/iciis47346.2019.9063280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciis47346.2019.9063280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 14th Conference on Industrial and Information Systems (ICIIS)","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/A5011077674","display_name":"Yasiru Ranasinghe","orcid":"https://orcid.org/0000-0002-3678-3065"},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":true,"raw_author_name":"D.Y.L Ranasinghe","raw_affiliation_strings":["University of Peradeniya, Peradeniya, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"University of Peradeniya, Peradeniya, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055227745","display_name":"H.M.S. Lakmal","orcid":null},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"H.M.S Lakmal","raw_affiliation_strings":["University of Peradeniya, Peradeniya, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"University of Peradeniya, Peradeniya, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055216590","display_name":"H.M.H.K. Weerasooriya","orcid":"https://orcid.org/0000-0002-0143-9547"},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"H.M.H.K. Weerasooriya","raw_affiliation_strings":["University of Peradeniya, Peradeniya, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"University of Peradeniya, Peradeniya, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061049438","display_name":"M.M. Ekanayake","orcid":"https://orcid.org/0000-0002-4768-5073"},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"E.M.M.B Ekanayake","raw_affiliation_strings":["University of Peradeniya, Peradeniya, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"University of Peradeniya, Peradeniya, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088546755","display_name":"Roshan Godaliyadda","orcid":"https://orcid.org/0000-0002-3495-481X"},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"G.M.R.I Godaliyadda","raw_affiliation_strings":["University of Peradeniya, Peradeniya, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"University of Peradeniya, Peradeniya, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022267671","display_name":"Vijitha Herath","orcid":"https://orcid.org/0000-0002-2094-0716"},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"H.M.V.R. Herath","raw_affiliation_strings":["University of Peradeniya, Peradeniya, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"University of Peradeniya, Peradeniya, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103090325","display_name":"M. P. B. Ekanayake","orcid":"https://orcid.org/0000-0002-5639-8105"},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"M.P.B. Ekanayake","raw_affiliation_strings":["University of Peradeniya, Peradeniya, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"University of Peradeniya, Peradeniya, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5011077674"],"corresponding_institution_ids":["https://openalex.org/I111199411"],"apc_list":null,"apc_paid":null,"fwci":0.4201,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72942994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"15","issue":null,"first_page":"135","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9988999962806702,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9988999962806702,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9986000061035156,"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":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8671239018440247},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.8645823001861572},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6609722971916199},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6219074130058289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6195542216300964},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6025184392929077},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.565600574016571},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5563510656356812},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4694490134716034},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4655260443687439},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4382733106613159},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.35095474123954773}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8671239018440247},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8645823001861572},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6609722971916199},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6219074130058289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6195542216300964},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6025184392929077},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.565600574016571},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5563510656356812},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4694490134716034},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4655260443687439},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4382733106613159},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35095474123954773},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciis47346.2019.9063280","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciis47346.2019.9063280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 14th Conference on Industrial and Information Systems (ICIIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6000000238418579,"display_name":"Reduced inequalities"},{"id":"https://metadata.un.org/sdg/16","score":0.41999998688697815,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W17611253","https://openalex.org/W1551901190","https://openalex.org/W1988386267","https://openalex.org/W2496323672","https://openalex.org/W2611159092","https://openalex.org/W2758476322","https://openalex.org/W2811386660","https://openalex.org/W2883595840","https://openalex.org/W2908523289","https://openalex.org/W2953961450","https://openalex.org/W2958871513","https://openalex.org/W2974693044","https://openalex.org/W6764922814"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W2052589448","https://openalex.org/W2765337000","https://openalex.org/W4387893611","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W2067407580","https://openalex.org/W4317486777","https://openalex.org/W2391447249","https://openalex.org/W3104072235"],"abstract_inverted_index":{"Surface":[0],"mineral":[1],"deposit":[2],"identification":[3],"using":[4],"Hyperspectral":[5],"imaging":[6],"is":[7,11,23,53,98],"important":[8],"since":[9],"it":[10],"economical.":[12],"In":[13,45],"this":[14,34],"paper,":[15],"an":[16],"algorithm":[17],"to":[18,67,71,85,103,107],"detect":[19],"potential":[20],"limestone":[21,31,92],"deposits":[22],"proposed":[24,47],"with":[25,105],"the":[26,46,56,87,101,109,112],"use":[27,104],"of":[28,111],"a":[29,62,95],"self-generated":[30],"reference.":[32],"For":[33],"task":[35],"images":[36],"obtained":[37],"by":[38],"EO-1":[39],"satellite's":[40],"Hyperion":[41],"sensor":[42],"are":[43,83],"used.":[44],"algorithm,":[48],"first,":[49],"Principal":[50],"Component":[51],"Analysis":[52,77,81],"applied":[54],"on":[55,90],"dataset":[57,102],"for":[58],"dimensionality":[59],"reduction":[60],"and":[61,78],"Euclidean":[63],"distance":[64],"based":[65,89],"classification":[66],"identify":[68],"pixels":[69],"corresponding":[70],"soil":[72],"regions.":[73],"Next,":[74],"Correlation":[75],"Factor":[76],"Fisher":[79],"Discriminant":[80],"(FDA)":[82],"used":[84],"classify":[86],"regions":[88],"their":[91],"availability.":[93],"Finally,":[94],"reference":[96],"signal":[97],"generated":[99],"from":[100],"FDA":[106],"improve":[108],"accuracy":[110],"results.":[113]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
