{"id":"https://openalex.org/W3101846690","doi":"https://doi.org/10.1109/tgrs.2020.3035642","title":"Adaptive Edge Preserving Maps in Markov Random Fields for Hyperspectral Image Classification","display_name":"Adaptive Edge Preserving Maps in Markov Random Fields for Hyperspectral Image Classification","publication_year":2020,"publication_date":"2020-11-13","ids":{"openalex":"https://openalex.org/W3101846690","doi":"https://doi.org/10.1109/tgrs.2020.3035642","mag":"3101846690"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3035642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3035642","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/A5101999301","display_name":"Chao Pan","orcid":"https://orcid.org/0000-0002-8089-394X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Pan","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an, China","School of Computer Science and Technology, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024631382","display_name":"Xiuping Jia","orcid":"https://orcid.org/0000-0001-9916-6382"},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuping Jia","raw_affiliation_strings":["School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089770704","display_name":"Jie Li","orcid":"https://orcid.org/0000-0002-4063-9381"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","School of Electronic Engineering, Xidian University, Xi\u2019an, China","School of Electronic Engineering, Xidian University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi\u2019an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101999301"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.5092,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.87342901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"59","issue":"10","first_page":"8568","last_page":"8583"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9915000200271606,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5299153327941895},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5033459067344666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46861276030540466},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4335179328918457},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.4308614134788513},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4248349070549011},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.39594385027885437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3903180956840515},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3681037425994873},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.35839977860450745},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.160063236951828}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5299153327941895},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5033459067344666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46861276030540466},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4335179328918457},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.4308614134788513},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4248349070549011},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.39594385027885437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3903180956840515},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3681037425994873},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.35839977860450745},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.160063236951828}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.3035642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3035642","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/G1773820166","display_name":null,"funder_award_id":"62002272","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1792847953","display_name":null,"funder_award_id":"61772402","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3014744682","display_name":null,"funder_award_id":"2018AAA0102702","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5449330877","display_name":null,"funder_award_id":"U1605252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7513256804","display_name":null,"funder_award_id":"61671339","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G913836228","display_name":null,"funder_award_id":"62036007","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W1484953274","https://openalex.org/W1554544485","https://openalex.org/W1563007904","https://openalex.org/W1609306619","https://openalex.org/W1799946925","https://openalex.org/W1964805403","https://openalex.org/W1967769689","https://openalex.org/W1972814520","https://openalex.org/W1974524700","https://openalex.org/W1979730959","https://openalex.org/W1987286789","https://openalex.org/W1998030734","https://openalex.org/W2001298023","https://openalex.org/W2008043556","https://openalex.org/W2008847349","https://openalex.org/W2009539575","https://openalex.org/W2010797000","https://openalex.org/W2017913446","https://openalex.org/W2020999234","https://openalex.org/W2025803711","https://openalex.org/W2038577255","https://openalex.org/W2041100636","https://openalex.org/W2043665634","https://openalex.org/W2044465660","https://openalex.org/W2062964394","https://openalex.org/W2064604707","https://openalex.org/W2083541351","https://openalex.org/W2084818612","https://openalex.org/W2093628091","https://openalex.org/W2098057602","https://openalex.org/W2101309634","https://openalex.org/W2101365302","https://openalex.org/W2102150301","https://openalex.org/W2103568877","https://openalex.org/W2104269704","https://openalex.org/W2107588225","https://openalex.org/W2108710077","https://openalex.org/W2113464037","https://openalex.org/W2113513024","https://openalex.org/W2115451191","https://openalex.org/W2119278287","https://openalex.org/W2124571274","https://openalex.org/W2127199143","https://openalex.org/W2129999749","https://openalex.org/W2130270164","https://openalex.org/W2131864940","https://openalex.org/W2132685580","https://openalex.org/W2136251662","https://openalex.org/W2143516773","https://openalex.org/W2153635508","https://openalex.org/W2154874087","https://openalex.org/W2158400785","https://openalex.org/W2159295716","https://openalex.org/W2163431839","https://openalex.org/W2164330327","https://openalex.org/W2170298016","https://openalex.org/W2242603519","https://openalex.org/W2334150308","https://openalex.org/W2555840851","https://openalex.org/W2603834682","https://openalex.org/W2607353926","https://openalex.org/W2754356769","https://openalex.org/W2754507318","https://openalex.org/W2767340384","https://openalex.org/W2767805377","https://openalex.org/W2790156883","https://openalex.org/W2790473231","https://openalex.org/W2898496577","https://openalex.org/W2934700355","https://openalex.org/W2947295162","https://openalex.org/W2962770389","https://openalex.org/W3098388691","https://openalex.org/W4206192903","https://openalex.org/W4213262319","https://openalex.org/W4320339642","https://openalex.org/W6630424276"],"related_works":["https://openalex.org/W1978042415","https://openalex.org/W4307772628","https://openalex.org/W3173596272","https://openalex.org/W2028628118","https://openalex.org/W3113569680","https://openalex.org/W1457719682","https://openalex.org/W2901747865","https://openalex.org/W2988174739","https://openalex.org/W2391601053","https://openalex.org/W2139206670"],"abstract_inverted_index":{"This":[0,34],"article":[1],"presents":[2],"a":[3],"novel":[4],"adaptive":[5],"edge":[6],"preserving":[7],"(aEP)":[8],"scheme":[9],"in":[10,73,181,188],"Markov":[11],"random":[12],"fields":[13],"(MRFs)":[14],"for":[15,89],"hyperspectral":[16],"image":[17],"(HSI)":[18],"classification.":[19],"MRF":[20,74],"regularization":[21],"usually":[22],"suffered":[23],"from":[24],"over-smoothing":[25],"at":[26,159],"boundaries":[27],"and":[28,37,42,107,128,161,184],"insufficient":[29],"refinement":[30],"within":[31],"class":[32,68,96],"objects.":[33],"work":[35],"divides":[36],"conquers":[38],"this":[39],"problem":[40],"class-by-class,":[41],"integrates":[43],"<inline-formula":[44,51,60,134],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[45,52,61,135],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[46,53,62,136],"<tex-math":[47,54,63,137],"notation=\"LaTeX\">${K}$":[48,64],"</tex-math></inline-formula>":[49,57,65,141],"(":[50,59],"notation=\"LaTeX\">${K}":[55],"-1$":[56],")/2":[58],"is":[66,81,99,144],"the":[67,85,103,121,148,155,177],"number)":[69],"aEP":[70],"maps":[71],"(aEPMs)":[72],"model.":[75],"Spatial":[76],"label":[77,87],"dependence":[78,88],"measure":[79],"(SLDM)":[80],"designed":[82,149],"to":[83,119,146,153],"estimate":[84],"interpixel":[86],"given":[90],"spectral":[91,127],"similarity":[92],"measure.":[93],"For":[94],"each":[95],"pair,":[97],"aEPM":[98],"optimized":[100],"by":[101,126],"maximizing":[102],"difference":[104],"between":[105],"intraclass":[106],"interclass":[108],"SLDM.":[109],"Then,":[110],"aEPMs":[111,180],"are":[112,168],"integrated":[113],"with":[114],"multilevel":[115],"logistic":[116],"(MLL)":[117],"model":[118],"regularize":[120],"raw":[122],"pixelwise":[123],"labeling":[124],"obtained":[125],"spectral\u2013spatial":[129],"methods,":[130],"respectively.":[131],"The":[132],"graph-cuts-based":[133],"notation=\"LaTeX\">$\\alpha":[138],"~\\beta":[139],"$":[140],"-swap":[142],"algorithm":[143],"modified":[145],"optimize":[147],"energy":[150],"function.":[151],"Moreover,":[152],"evaluate":[154],"final":[156],"refined":[157],"results":[158],"edges":[160],"small":[162],"details":[163],"thoroughly,":[164],"segmentation":[165],"evaluation":[166,182],"metrics":[167,183],"introduced.":[169],"Experiments":[170],"conducted":[171],"on":[172],"real":[173],"HSI":[174],"data":[175],"denote":[176],"superiority":[178],"of":[179],"region":[185],"consistency,":[186],"especially":[187],"detail":[189],"preservation.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
