{"id":"https://openalex.org/W2782281103","doi":"https://doi.org/10.1109/tgrs.2017.2782005","title":"Convex Formulation for Multiband Image Classification With Superpixel-Based Spatial Regularization","display_name":"Convex Formulation for Multiband Image Classification With Superpixel-Based Spatial Regularization","publication_year":2018,"publication_date":"2018-01-05","ids":{"openalex":"https://openalex.org/W2782281103","doi":"https://doi.org/10.1109/tgrs.2017.2782005","mag":"2782281103"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2017.2782005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2017.2782005","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5100330566","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0002-7168-9082"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Yi Liu","raw_affiliation_strings":["Hyperspectral Computing Laboratory, University of Extremadura, Badajoz, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, University of Extremadura, Badajoz, Spain","institution_ids":["https://openalex.org/I80606768"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051374605","display_name":"Filipe Condessa","orcid":"https://orcid.org/0000-0002-6233-7069"},"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":"Filipe Condessa","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"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/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/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jose M. Bioucas-Dias","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["School of Geography and Planning, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Geography and Planning, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690406","display_name":"Peijun Du","orcid":"https://orcid.org/0000-0002-2488-2656"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peijun Du","raw_affiliation_strings":["Department of Geographical Information Science, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Department of Geographical Information Science, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054292278","display_name":"Antonio Plaza","orcid":"https://orcid.org/0000-0002-9613-1659"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Plaza","raw_affiliation_strings":["Hyperspectral Computing Laboratory, University of Extremadura, Badajoz, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, University of Extremadura, Badajoz, Spain","institution_ids":["https://openalex.org/I80606768"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100330566"],"corresponding_institution_ids":["https://openalex.org/I80606768"],"apc_list":null,"apc_paid":null,"fwci":2.0571,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.88748692,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"56","issue":"5","first_page":"2704","last_page":"2721"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9945999979972839,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.5545170903205872},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5444908142089844},{"id":"https://openalex.org/keywords/augmented-lagrangian-method","display_name":"Augmented Lagrangian method","score":0.4921719431877136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4918811321258545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4392241835594177},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.42976588010787964},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41752704977989197},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4164429306983948},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3705747723579407},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3182451128959656}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5545170903205872},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5444908142089844},{"id":"https://openalex.org/C150452318","wikidata":"https://www.wikidata.org/wiki/Q4820432","display_name":"Augmented Lagrangian method","level":2,"score":0.4921719431877136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4918811321258545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4392241835594177},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.42976588010787964},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41752704977989197},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4164429306983948},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3705747723579407},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3182451128959656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2017.2782005","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2017.2782005","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2557461096","display_name":null,"funder_award_id":"ERANETMED/0001/2014","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G4017497872","display_name":null,"funder_award_id":"UID/EEA/50008/2013","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G5006369886","display_name":null,"funder_award_id":"2017YFB0502900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6321125736","display_name":null,"funder_award_id":"2016A030313254","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G8240734429","display_name":null,"funder_award_id":"61771496","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W53515490","https://openalex.org/W79315950","https://openalex.org/W903580179","https://openalex.org/W1561847614","https://openalex.org/W1590946397","https://openalex.org/W1759347593","https://openalex.org/W1937812750","https://openalex.org/W1946620893","https://openalex.org/W1947239887","https://openalex.org/W1957358235","https://openalex.org/W1978085585","https://openalex.org/W1978973099","https://openalex.org/W1983058494","https://openalex.org/W2014823423","https://openalex.org/W2016860790","https://openalex.org/W2020999234","https://openalex.org/W2051221053","https://openalex.org/W2059089906","https://openalex.org/W2081178133","https://openalex.org/W2085529604","https://openalex.org/W2087263574","https://openalex.org/W2099915247","https://openalex.org/W2113137767","https://openalex.org/W2113635243","https://openalex.org/W2116040950","https://openalex.org/W2116877738","https://openalex.org/W2118246710","https://openalex.org/W2119300483","https://openalex.org/W2123031198","https://openalex.org/W2123931808","https://openalex.org/W2135414191","https://openalex.org/W2137117160","https://openalex.org/W2139478903","https://openalex.org/W2148347694","https://openalex.org/W2148791530","https://openalex.org/W2149471024","https://openalex.org/W2149474573","https://openalex.org/W2150134853","https://openalex.org/W2151689047","https://openalex.org/W2153396823","https://openalex.org/W2155697938","https://openalex.org/W2156808562","https://openalex.org/W2163025304","https://openalex.org/W2164278908","https://openalex.org/W2164437025","https://openalex.org/W2164710647","https://openalex.org/W2164918853","https://openalex.org/W2165555213","https://openalex.org/W2169551590","https://openalex.org/W2334150308","https://openalex.org/W2338459354","https://openalex.org/W2496304207","https://openalex.org/W2562867554","https://openalex.org/W2764205729","https://openalex.org/W2887796499","https://openalex.org/W2937976048","https://openalex.org/W2950937061","https://openalex.org/W2963936722","https://openalex.org/W3106359998","https://openalex.org/W4292363360","https://openalex.org/W6602130781","https://openalex.org/W6644663001","https://openalex.org/W6682467843","https://openalex.org/W6682949822","https://openalex.org/W6684259133","https://openalex.org/W6761404744"],"related_works":["https://openalex.org/W2015060724","https://openalex.org/W2919324478","https://openalex.org/W2130120519","https://openalex.org/W2058578573","https://openalex.org/W2012871340","https://openalex.org/W3105202832","https://openalex.org/W2006582835","https://openalex.org/W1973706450","https://openalex.org/W2167695847","https://openalex.org/W2562805810"],"abstract_inverted_index":{"Superpixels":[0],"are":[1],"a":[2,47,68,78],"powerful":[3],"device":[4],"to":[5,30,60,106,149],"characterize":[6],"the":[7,18,51,58,84,92,114,120,128,150],"spatial-contextual":[8],"information":[9],"in":[10,22,83,95,104],"remotely":[11],"sensed":[12],"hyperspectral":[13],"image":[14],"(HSI)":[15],"interpretation.":[16],"However,":[17],"exploitation":[19],"of":[20,50,80,86,119],"superpixels":[21],"classification":[23,137,152],"problems":[24],"is":[25,101,125],"not":[26],"straightforward,":[27],"often":[28],"leading":[29,148],"unbearable":[31],"NP-hard":[32],"discrete":[33],"integer":[34,53],"optimization":[35,54,123],"problems.":[36],"In":[37],"this":[38,42],"paper,":[39],"we":[40,66,76],"attack":[41],"hurdle":[43],"by":[44],"leveraging":[45],"on":[46,134],"convex":[48,81,122],"relaxation":[49],"original":[52],"problem,":[55],"which":[56,90],"opens":[57],"door":[59],"include":[61],"oversegmented":[62,73,146],"superpixel-based":[63],"regularizers.":[64],"Specifically,":[65],"develop":[67],"new":[69],"method":[70],"for":[71],"generating":[72],"superpixels.":[74],"Then,":[75],"introduce":[77],"family":[79],"regularizers":[82],"form":[85],"graph":[87],"total":[88,99],"variation,":[89],"promotes":[91],"same":[93],"labeling":[94],"each":[96],"superpixel.":[97],"Vectorial":[98],"variation":[100],"also":[102],"included":[103],"order":[105],"promote":[107],"piecewise":[108],"smoothness":[109],"and":[110,142],"align":[111],"discontinuities":[112],"along":[113],"class":[115],"boundaries.":[116],"The":[117],"solution":[118],"obtained":[121],"problem":[124],"computed":[126],"with":[127,139],"split-augmented":[129],"Lagrangian":[130],"shrinkage":[131],"algorithm.":[132],"Experiments":[133],"HSIs":[135],"yield":[136],"maps":[138],"precise":[140],"boundaries":[141],"inner":[143],"consistency":[144],"inside":[145],"superpixels,":[147],"state-of-the-art":[151],"accuracies.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}