{"id":"https://openalex.org/W2113513024","doi":"https://doi.org/10.1109/lgrs.2011.2145353","title":"Adaptive Markov Random Field Approach for Classification of Hyperspectral Imagery","display_name":"Adaptive Markov Random Field Approach for Classification of Hyperspectral Imagery","publication_year":2011,"publication_date":"2011-06-07","ids":{"openalex":"https://openalex.org/W2113513024","doi":"https://doi.org/10.1109/lgrs.2011.2145353","mag":"2113513024"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2011.2145353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2011.2145353","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5100389708","display_name":"Bing Zhang","orcid":"https://orcid.org/0000-0003-0319-7753"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bing Zhang","raw_affiliation_strings":["Center of Earth Observation and Digital Earth, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center of Earth Observation and Digital Earth, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371471","display_name":"Shanshan Li","orcid":"https://orcid.org/0000-0002-0477-9344"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Li","raw_affiliation_strings":["Center of Earth Observation and Digital Earth, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center of Earth Observation and Digital Earth, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"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/I40053085","display_name":"Australian Defence Force Academy","ror":"https://ror.org/02j5s7g39","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I40053085","https://openalex.org/I4394709116"]},{"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 Information Technology and Electrical Engineering, University College, University of New SouthWales, Australia Defence Force Academy, Campbell, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology and Electrical Engineering, University College, University of New SouthWales, Australia Defence Force Academy, Campbell, ACT, Australia","institution_ids":["https://openalex.org/I40053085","https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066378186","display_name":"Lianru Gao","orcid":"https://orcid.org/0000-0003-3888-8124"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianru Gao","raw_affiliation_strings":["Center of Earth Observation and Digital Earth, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center of Earth Observation and Digital Earth, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110327754","display_name":"Man Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man Peng","raw_affiliation_strings":["Institute of Remote Sensing Application, Chinese Academy and Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing Application, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100389708"],"corresponding_institution_ids":["https://openalex.org/I4210128053"],"apc_list":null,"apc_paid":null,"fwci":16.4326,"has_fulltext":false,"cited_by_count":192,"citation_normalized_percentile":{"value":0.99197552,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"8","issue":"5","first_page":"973","last_page":"977"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.98089998960495,"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":0.9103268384933472},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7063629627227783},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.6616963744163513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6367800235748291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6343004703521729},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6304260492324829},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.5914978981018066},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5262797474861145},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.49684861302375793},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44508785009384155},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.41938018798828125},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.35372552275657654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3077855706214905},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30078190565109253},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17893540859222412},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13667815923690796},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.11196717619895935},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08083885908126831}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9103268384933472},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7063629627227783},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6616963744163513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6367800235748291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6343004703521729},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6304260492324829},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.5914978981018066},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5262797474861145},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.49684861302375793},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44508785009384155},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.41938018798828125},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35372552275657654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3077855706214905},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30078190565109253},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17893540859222412},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13667815923690796},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.11196717619895935},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08083885908126831},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2011.2145353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2011.2145353","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309036","display_name":"Purdue University","ror":"https://ror.org/02dqehb95"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W186419298","https://openalex.org/W628438000","https://openalex.org/W1496227086","https://openalex.org/W1618905105","https://openalex.org/W1992328824","https://openalex.org/W2056983531","https://openalex.org/W2065533253","https://openalex.org/W2069820899","https://openalex.org/W2098057602","https://openalex.org/W2100562977","https://openalex.org/W2105659471","https://openalex.org/W2109115094","https://openalex.org/W2122177361","https://openalex.org/W2123337367","https://openalex.org/W2130463078","https://openalex.org/W2131697388","https://openalex.org/W2131864940","https://openalex.org/W2136251662","https://openalex.org/W2138973222","https://openalex.org/W2148603752","https://openalex.org/W2162480849","https://openalex.org/W2166012115","https://openalex.org/W2171776966","https://openalex.org/W2478493250","https://openalex.org/W2491899631","https://openalex.org/W2548695521","https://openalex.org/W4246922995","https://openalex.org/W4302422232","https://openalex.org/W6629528349"],"related_works":["https://openalex.org/W2170079321","https://openalex.org/W987019958","https://openalex.org/W4233015508","https://openalex.org/W2030382593","https://openalex.org/W1983122994","https://openalex.org/W2078379274","https://openalex.org/W2033503400","https://openalex.org/W2099971354","https://openalex.org/W2133071149","https://openalex.org/W2101965184"],"abstract_inverted_index":{"An":[0],"adaptive":[1],"Markov":[2],"random":[3],"field":[4],"(MRF)":[5],"approach":[6],"is":[7,24],"proposed":[8,22,101],"for":[9,32,47,72],"classification":[10,114],"of":[11,20,27,38,59,79,87],"hyperspectral":[12,90,96],"imagery":[13],"in":[14,51],"this":[15,39,56,83],"letter.":[16],"The":[17],"main":[18],"feature":[19],"the":[21,25,36,48,52,100],"method":[23,102],"introduction":[26],"a":[28,88,94],"relative":[29],"homogeneity":[30],"index":[31,40],"each":[33],"pixel":[34],"and":[35,76,93,109],"use":[37],"to":[41,82],"determine":[42],"an":[43],"appropriate":[44],"weighting":[45],"coefficient":[46],"spatial":[49],"contribution":[50,81],"MRF":[53],"classification.":[54],"In":[55],"way,":[57],"overcorrection":[58],"spatially":[60],"high":[61],"variation":[62],"areas":[63],"can":[64],"be":[65],"avoided.":[66],"Support":[67],"vector":[68],"machines":[69],"are":[70],"implemented":[71],"improved":[73,113],"class":[74,110],"modeling":[75],"better":[77,104],"estimate":[78],"spectral":[80],"approach.":[84],"Experimental":[85],"results":[86],"synthetic":[89],"data":[91],"set":[92],"real":[95],"image":[97],"demonstrate":[98],"that":[99],"works":[103],"on":[105],"both":[106],"homogeneous":[107],"regions":[108],"boundaries":[111],"with":[112],"accuracy.":[115]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":21},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":15},{"year":2015,"cited_by_count":16},{"year":2014,"cited_by_count":16},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}