{"id":"https://openalex.org/W2006196395","doi":"https://doi.org/10.1109/igarss.2015.7326796","title":"Hidden Conditional Random Fields for land-use classification","display_name":"Hidden Conditional Random Fields for land-use classification","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2006196395","doi":"https://doi.org/10.1109/igarss.2015.7326796","mag":"2006196395"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7326796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5056684926","display_name":"Alexei Skurikhin","orcid":"https://orcid.org/0000-0001-5606-4933"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alexei N. Skurikhin","raw_affiliation_strings":["Los Alamos National Laboratory, Los Alamos, NM, USA","Los Alamos National Laboratory, Los Alamos,  NM 87545,  USA"],"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory, Los Alamos, NM, USA","institution_ids":["https://openalex.org/I1343871089"]},{"raw_affiliation_string":"Los Alamos National Laboratory, Los Alamos,  NM 87545,  USA","institution_ids":["https://openalex.org/I1343871089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5056684926"],"corresponding_institution_ids":["https://openalex.org/I1343871089"],"apc_list":null,"apc_paid":null,"fwci":0.4146,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6765566,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"xxxviii","issue":null,"first_page":"4376","last_page":"4379"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9973999857902527,"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":0.9973999857902527,"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":0.9965000152587891,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/conditional-random-field","display_name":"Conditional random field","score":0.9767411947250366},{"id":"https://openalex.org/keywords/crfs","display_name":"CRFS","score":0.9221163988113403},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.8272433280944824},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7048534154891968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6326118111610413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6298768520355225},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.6023405194282532},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.5952913165092468},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5861943960189819},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5279262065887451},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4968409836292267},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4134986698627472},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3770650029182434},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24129274487495422},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18680298328399658},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.11818128824234009},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11076146364212036}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.9767411947250366},{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.9221163988113403},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.8272433280944824},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7048534154891968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6326118111610413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6298768520355225},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.6023405194282532},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.5952913165092468},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5861943960189819},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5279262065887451},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4968409836292267},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4134986698627472},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3770650029182434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24129274487495422},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18680298328399658},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.11818128824234009},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11076146364212036},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7326796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.47999998927116394,"display_name":"Life in Land"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332183","display_name":"U.S. Geological Survey","ror":"https://ror.org/035a68863"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1531742118","https://openalex.org/W1540386283","https://openalex.org/W1980038761","https://openalex.org/W2016338720","https://openalex.org/W2071051834","https://openalex.org/W2087889803","https://openalex.org/W2101534792","https://openalex.org/W2110119381","https://openalex.org/W2113199901","https://openalex.org/W2117195844","https://openalex.org/W2136595724","https://openalex.org/W2147880316","https://openalex.org/W2152438175","https://openalex.org/W2159080219","https://openalex.org/W2318485605","https://openalex.org/W2339845961","https://openalex.org/W2545037191","https://openalex.org/W6631578466","https://openalex.org/W6632200337","https://openalex.org/W6680240620","https://openalex.org/W6682082992","https://openalex.org/W6703772627"],"related_works":["https://openalex.org/W2356597680","https://openalex.org/W50079190","https://openalex.org/W182104056","https://openalex.org/W2011251309","https://openalex.org/W2950342388","https://openalex.org/W2088024891","https://openalex.org/W2129999749","https://openalex.org/W4302218341","https://openalex.org/W2006196395","https://openalex.org/W3158117763"],"abstract_inverted_index":{"Undirected":[0],"probabilistic":[1,29],"graphical":[2],"models":[3],"such":[4,31],"as":[5,32],"Markov":[6],"Random":[7,12,58],"Fields":[8,13,59],"(MRFs)":[9],"and":[10,26],"Conditional":[11,57],"(CRFs)":[14],"are":[15],"being":[16],"increasingly":[17],"used":[18],"to":[19,27,81],"model":[20],"problems":[21],"having":[22],"a":[23],"structured":[24],"domain":[25],"enable":[28],"inferences":[30],"answering":[33],"queries":[34],"about":[35],"the":[36],"variables":[37],"of":[38,44],"interest,":[39],"e.g.,":[40],"inferring":[41],"classification":[42,62],"labels":[43],"pixel":[45],"patches":[46],"or":[47],"images.":[48,67],"We":[49],"investigate":[50],"Multiple-Instance":[51],"learning":[52],"approach":[53],"based":[54],"on":[55],"Hidden":[56],"for":[60],"land-use":[61,83],"using":[63,72],"weakly":[64],"labeled":[65],"aerial":[66,78],"The":[68],"performance":[69],"is":[70],"evaluated":[71],"publicly":[73],"available":[74],"dataset":[75],"that":[76],"contains":[77],"imagery":[79],"belonging":[80],"21":[82],"categories.":[84]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
