{"id":"https://openalex.org/W903580179","doi":"https://doi.org/10.1109/whispers.2014.8077490","title":"Supervised hyperspectral image segmentation: A convex formulation using hidden fields","display_name":"Supervised hyperspectral image segmentation: A convex formulation using hidden fields","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W903580179","doi":"https://doi.org/10.1109/whispers.2014.8077490","mag":"903580179"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2014.8077490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2014.8077490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Supervised_Hyperspectral_Image_Segmentation_A_Convex_Formulation_Using_Hidden_Fields/6469379","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051374605","display_name":"Filipe Condessa","orcid":"https://orcid.org/0000-0002-6233-7069"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I203847022","display_name":"Instituto Polit\u00e9cnico de Lisboa","ror":"https://ror.org/04ea70f07","country_code":"PT","type":"education","lineage":["https://openalex.org/I203847022"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["PT","US"],"is_corresponding":false,"raw_author_name":"Filipe Condessa","raw_affiliation_strings":["Center for Bioimage Informatics, Carnegie Mellon University, Pittsburgh, PA, USA","Instituto Superior T\u00e9cnico, University of Lisbon, Lisboa, Portugal","Instituto de Telecomunica\u00e7\u00f5es, Lisboa, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Bioimage Informatics, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Instituto Superior T\u00e9cnico, University of Lisbon, Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103","https://openalex.org/I203847022"]},{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es, Lisboa, Portugal","institution_ids":["https://openalex.org/I4210120471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017508063","display_name":"Jos\u00e9 M. Bioucas\u2010Dias","orcid":"https://orcid.org/0000-0002-0166-5149"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I203847022","display_name":"Instituto Polit\u00e9cnico de Lisboa","ror":"https://ror.org/04ea70f07","country_code":"PT","type":"education","lineage":["https://openalex.org/I203847022"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jose Bioucas-Dias","raw_affiliation_strings":["Instituto Superior T\u00e9cnico, University of Lisbon, Lisboa, Portugal","Instituto de Telecomunica\u00e7\u00f5es, Lisboa, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Superior T\u00e9cnico, University of Lisbon, Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103","https://openalex.org/I203847022"]},{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es, Lisboa, Portugal","institution_ids":["https://openalex.org/I4210120471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067967683","display_name":"Jelena Kova\u010devi\u0107","orcid":"https://orcid.org/0000-0002-1593-707X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jelena Kovacevic","raw_affiliation_strings":["Center for Bioimage Informatics, Carnegie Mellon University, Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Bioimage Informatics, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1083,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.94478251,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"1","last_page":"4"},"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/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":1.0,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9822999835014343,"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/image-segmentation","display_name":"Image segmentation","score":0.693085789680481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5840696096420288},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5643411874771118},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5275713205337524},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5185747146606445},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.49020200967788696},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4755656123161316},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.47123250365257263},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4662332534790039},{"id":"https://openalex.org/keywords/discrete-optimization","display_name":"Discrete optimization","score":0.4383493661880493},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4063553214073181},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.38465774059295654},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3278452157974243},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29418784379959106},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06915977597236633}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.693085789680481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5840696096420288},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5643411874771118},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5275713205337524},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5185747146606445},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.49020200967788696},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4755656123161316},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.47123250365257263},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4662332534790039},{"id":"https://openalex.org/C145671259","wikidata":"https://www.wikidata.org/wiki/Q1493786","display_name":"Discrete optimization","level":3,"score":0.4383493661880493},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4063553214073181},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.38465774059295654},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3278452157974243},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29418784379959106},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06915977597236633}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/whispers.2014.8077490","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2014.8077490","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.cmu.edu:ece-1313","is_oa":false,"landing_page_url":"http://repository.cmu.edu/ece/324","pdf_url":null,"source":{"id":"https://openalex.org/S7407050927","display_name":"KiltHub Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Department of Electrical and Computer Engineering","raw_type":"text"},{"id":"pmh:doi:10.1184/r1/6469379","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal contribution"},{"id":"pmh:oai:figshare.com:article/6469379","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Supervised_Hyperspectral_Image_Segmentation_A_Convex_Formulation_Using_Hidden_Fields/6469379","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.1184/r1/6469379.v1","is_oa":true,"landing_page_url":"https://doi.org/10.1184/r1/6469379.v1","pdf_url":null,"source":{"id":"https://openalex.org/S7407050927","display_name":"KiltHub Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/6469379","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Supervised_Hyperspectral_Image_Segmentation_A_Convex_Formulation_Using_Hidden_Fields/6469379","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1507028917","https://openalex.org/W1536031884","https://openalex.org/W1606878652","https://openalex.org/W1946620893","https://openalex.org/W2014823423","https://openalex.org/W2051221053","https://openalex.org/W2087263574","https://openalex.org/W2087354971","https://openalex.org/W2099915247","https://openalex.org/W2101365302","https://openalex.org/W2123031198","https://openalex.org/W2130517245","https://openalex.org/W2143516773","https://openalex.org/W2163025304","https://openalex.org/W2164918853","https://openalex.org/W2165949176","https://openalex.org/W3106359998","https://openalex.org/W6679316538","https://openalex.org/W6903468449"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2372421320","https://openalex.org/W2057775483","https://openalex.org/W2041871225","https://openalex.org/W2386644571","https://openalex.org/W2387793296","https://openalex.org/W1558398159","https://openalex.org/W2371519352"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,54],"is":[2,34,40,87,117],"fundamentally":[3],"a":[4,11,65,76,90],"discrete":[5,50,85],"problem.":[6],"It":[7],"consists":[8],"of":[9,13,24,30,52,68,75,113],"finding":[10],"partition":[12,26],"the":[14,19,25,49,57,60,73,83,95,100,103,114],"image":[15,53,121],"domain":[16],"such":[17],"that":[18],"pixels":[20],"in":[21,59],"each":[22],"element":[23],"exhibit":[27],"some":[28],"kind":[29],"similarity.":[31],"The":[32,111],"optimization":[33,38,86],"obtained":[35],"via":[36,102],"integer":[37],"which":[39],"NP-hard,":[41],"apart":[42],"from":[43,48],"few":[44],"exceptions.":[45],"We":[46],"sidestep":[47],"nature":[51],"by":[55],"formulating":[56],"problem":[58],"Bayesian":[61],"framework":[62],"and":[63],"introducing":[64],"hidden":[66,96],"set":[67],"real-valued":[69],"random":[70],"fields":[71],"determining":[72],"probability":[74],"given":[77],"partition.":[78],"Armed":[79],"with":[80,119],"this":[81],"model,":[82],"original":[84],"converted":[88],"into":[89],"convex":[91],"program.":[92],"To":[93],"infer":[94],"fields,":[97],"we":[98],"introduce":[99],"Segmentation":[101],"Constrained":[104],"Split":[105],"Augmented":[106],"Lagrangian":[107],"Shrinkage":[108],"Algorithm":[109],"(SegSALSA).":[110],"effectiveness":[112],"proposed":[115],"methodology":[116],"illustrated":[118],"hyperspectral":[120],"segmentation.":[122]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
