{"id":"https://openalex.org/W4407737756","doi":"https://doi.org/10.1109/whispers65427.2024.10876456","title":"A New Algorithm for Detecting Carbonates Using Crism Hyperspectral Data","display_name":"A New Algorithm for Detecting Carbonates Using Crism Hyperspectral Data","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4407737756","doi":"https://doi.org/10.1109/whispers65427.2024.10876456"},"language":"en","primary_location":{"id":"doi:10.1109/whispers65427.2024.10876456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers65427.2024.10876456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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/A5116326067","display_name":"Yash Toshniwal","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":true,"raw_author_name":"Yash Toshniwal","raw_affiliation_strings":["Indian Institute of Technology Bombay,Department of Mechanical Engineering,Mumbai,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay,Department of Mechanical Engineering,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116326068","display_name":"Saransh Vottery","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":"Saransh Vottery","raw_affiliation_strings":["Indian Institute of Technology Bombay,Department of Chemical Engineering,Mumbai,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay,Department of Chemical Engineering,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053816626","display_name":"Sandeepan Dhoundiyal","orcid":"https://orcid.org/0000-0001-5415-5938"},"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":"Sandeepan Dhoundiyal","raw_affiliation_strings":["Indian Institute of Technology Bombay,Centre of Studies in Resources Engineering,Mumbai,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay,Centre of Studies in Resources Engineering,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011288887","display_name":"Alok Porwal","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":"Alok Porwal","raw_affiliation_strings":["Indian Institute of Technology Bombay,Centre of Studies in Resources Engineering,Mumbai,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay,Centre of Studies in Resources Engineering,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5116326067"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26206429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9815999865531921,"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"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9815999865531921,"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"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9435999989509583,"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":0.9168000221252441,"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-imaging","display_name":"Hyperspectral imaging","score":0.9159300327301025},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5828595161437988},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38416576385498047},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.38408002257347107},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36745381355285645},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3385000228881836},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.25877517461776733}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9159300327301025},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5828595161437988},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38416576385498047},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.38408002257347107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36745381355285645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3385000228881836},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.25877517461776733}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers65427.2024.10876456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers65427.2024.10876456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190"],"abstract_inverted_index":{"Constraining":[0],"the":[1,8,56],"amount":[2],"of":[3,96],"CO<inf":[4],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[5],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</inf>":[6],"in":[7],"early":[9],"Martian":[10],"atmosphere":[11],"is":[12],"critical":[13],"to":[14,39,69,78,92],"understanding":[15,95],"Mars'":[16],"geological":[17,98],"history":[18],"and":[19,26,46,72,99],"aqueous":[20,100],"evolution.":[21],"We":[22],"propose":[23],"an":[24],"improved":[25],"robust":[27],"algorithm":[28],"for":[29],"mapping":[30,87],"carbonates":[31],"from":[32],"CRISM":[33,57],"data":[34],"which":[35],"involves":[36],"comprehensive":[37],"preprocessing":[38],"suppress":[40],"noise,":[41],"computing":[42],"multiple":[43],"spectral":[44],"parameters,":[45],"intelligently":[47],"combining":[48],"them":[49],"using":[50],"their":[51],"harmonic":[52],"mean.":[53],"Demonstrated":[54],"over":[55],"image":[58],"HRL40FF,":[59],"our":[60],"innovative":[61],"approach":[62],"yields":[63],"fewer":[64],"false":[65],"positives":[66],"as":[67],"compared":[68],"traditional":[70],"methods":[71],"can":[73],"also":[74],"be":[75],"effectively":[76],"applied":[77],"other":[79],"hyperspectral":[80],"datasets.":[81],"This":[82],"enhanced":[83],"method":[84],"advances":[85],"carbonate":[86],"on":[88],"Mars,":[89],"thereby":[90],"contributing":[91],"a":[93],"deeper":[94],"its":[97],"history.":[101]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
