{"id":"https://openalex.org/W3185844166","doi":"https://doi.org/10.1109/whispers52202.2021.9483968","title":"HSKL: A Machine Learning Framework for Hyperspectral Image Analysis","display_name":"HSKL: A Machine Learning Framework for Hyperspectral Image Analysis","publication_year":2021,"publication_date":"2021-03-24","ids":{"openalex":"https://openalex.org/W3185844166","doi":"https://doi.org/10.1109/whispers52202.2021.9483968","mag":"3185844166"},"language":"en","primary_location":{"id":"doi:10.1109/whispers52202.2021.9483968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers52202.2021.9483968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 11th 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/A5101418305","display_name":"Qian Cao","orcid":"https://orcid.org/0000-0002-3900-0433"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qian Cao","raw_affiliation_strings":["Washington University School of Medicine, St. Louis, MO, USA"],"affiliations":[{"raw_affiliation_string":"Washington University School of Medicine, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087348517","display_name":"Deependra Mishra","orcid":"https://orcid.org/0000-0003-1578-8526"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deependra Mishra","raw_affiliation_strings":["Washington University School of Medicine, St. Louis, MO, USA"],"affiliations":[{"raw_affiliation_string":"Washington University School of Medicine, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605872","display_name":"John Wang","orcid":"https://orcid.org/0000-0001-6059-8962"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Wang","raw_affiliation_strings":["Washington University School of Medicine, St. Louis, MO, USA"],"affiliations":[{"raw_affiliation_string":"Washington University School of Medicine, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101707023","display_name":"Steven Wang","orcid":"https://orcid.org/0000-0003-1173-8679"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven Wang","raw_affiliation_strings":["Washington University School of Medicine, St. Louis, MO, USA"],"affiliations":[{"raw_affiliation_string":"Washington University School of Medicine, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027301035","display_name":"Helena Hurbon","orcid":"https://orcid.org/0000-0003-3181-6566"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Helena Hurbon","raw_affiliation_strings":["Washington University School of Medicine, St. Louis, MO, USA"],"affiliations":[{"raw_affiliation_string":"Washington University School of Medicine, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102878886","display_name":"Mikhail Y. Berezin","orcid":"https://orcid.org/0000-0002-2670-2487"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mikhail Y. Berezin","raw_affiliation_strings":["Washington University School of Medicine, St. Louis, MO, USA"],"affiliations":[{"raw_affiliation_string":"Washington University School of Medicine, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101418305"],"corresponding_institution_ids":["https://openalex.org/I204465549"],"apc_list":null,"apc_paid":null,"fwci":0.374,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64018127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9965999722480774,"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/T10057","display_name":"Face and Expression Recognition","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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8817524909973145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.784089207649231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6148613691329956},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5418724417686462},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5415760278701782},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4512098431587219},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4509814977645874},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3388056755065918}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8817524909973145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.784089207649231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6148613691329956},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5418724417686462},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5415760278701782},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4512098431587219},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4509814977645874},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3388056755065918},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers52202.2021.9483968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers52202.2021.9483968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1554944419","https://openalex.org/W1594031697","https://openalex.org/W1678356000","https://openalex.org/W1955857676","https://openalex.org/W1988790447","https://openalex.org/W2056132907","https://openalex.org/W2101234009","https://openalex.org/W2118585731","https://openalex.org/W2153635508","https://openalex.org/W2171033594","https://openalex.org/W2247522248","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W2991616716","https://openalex.org/W3024448158","https://openalex.org/W3038167413","https://openalex.org/W4212883601","https://openalex.org/W6633435507","https://openalex.org/W6675354045","https://openalex.org/W6677656871","https://openalex.org/W6691142552","https://openalex.org/W6843735874"],"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/W2070598848","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440"],"abstract_inverted_index":{"A":[0],"new":[1],"framework":[2],"for":[3],"advanced":[4],"machine":[5],"learning-based":[6],"analysis":[7],"of":[8,34],"hyperspectral":[9],"datasets":[10],"HSKL":[11],"was":[12],"built":[13],"using":[14],"the":[15,32,38],"well-known":[16],"package":[17,39],"scikit-learn.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22],"describe":[23],"HSKL's":[24],"structure":[25],"and":[26,45],"basic":[27],"usage.":[28],"We":[29],"also":[30],"showcase":[31],"diversity":[33],"models":[35],"supported":[36],"by":[37,40],"applying":[41],"17":[42],"classification":[43],"algorithms":[44],"measure":[46],"their":[47],"baseline":[48],"performance":[49],"in":[50],"segmenting":[51],"objects":[52],"with":[53],"highly":[54],"similar":[55],"spectral":[56],"properties.":[57]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}