{"id":"https://openalex.org/W2039459402","doi":"https://doi.org/10.1109/igarss.2014.6947292","title":"Contextual remote-sensing image classification through support vector machines, Markov random fields and graph cuts","display_name":"Contextual remote-sensing image classification through support vector machines, Markov random fields and graph cuts","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2039459402","doi":"https://doi.org/10.1109/igarss.2014.6947292","mag":"2039459402"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2014.6947292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6947292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010703449","display_name":"Andrea Giorgi","orcid":"https://orcid.org/0000-0001-6220-3389"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea De Giorgi","raw_affiliation_strings":["Dept. of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Genoa, Italy","University of Genoa \u2013 Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, Via Opera Pia 11a, I-16145, Genoa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"University of Genoa \u2013 Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, Via Opera Pia 11a, I-16145, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012936131","display_name":"Gabriele Moser","orcid":"https://orcid.org/0000-0002-3796-2938"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gabriele Moser","raw_affiliation_strings":["Dept. of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Genoa, Italy","University of Genoa \u2013 Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, Via Opera Pia 11a, I-16145, Genoa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"University of Genoa \u2013 Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, Via Opera Pia 11a, I-16145, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041360967","display_name":"Sebastiano B. Serpico","orcid":"https://orcid.org/0000-0001-9858-7230"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sebastiano B. Serpico","raw_affiliation_strings":["Dept. of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Genoa, Italy","University of Genoa \u2013 Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, Via Opera Pia 11a, I-16145, Genoa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"University of Genoa \u2013 Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, Via Opera Pia 11a, I-16145, Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I83816512"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"3722","last_page":"3725"},"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":0.9929999709129333,"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":0.9878000020980835,"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/support-vector-machine","display_name":"Support vector machine","score":0.68109530210495},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.6138222217559814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5912547707557678},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5852062702178955},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.579824686050415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5718114376068115},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5552769899368286},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5115552544593811},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4946539103984833},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47421956062316895},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.46874740719795227},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.4412800669670105},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.42651334404945374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.389276921749115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29458048939704895},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.2923640012741089},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24125328660011292},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1302815079689026}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.68109530210495},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6138222217559814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5912547707557678},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5852062702178955},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.579824686050415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5718114376068115},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5552769899368286},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5115552544593811},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4946539103984833},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47421956062316895},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.46874740719795227},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4412800669670105},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.42651334404945374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.389276921749115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29458048939704895},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2923640012741089},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24125328660011292},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1302815079689026},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/igarss.2014.6947292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6947292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unige.it:11567/781190","is_oa":false,"landing_page_url":"https://hdl.handle.net/11567/781190","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:iris.unige.it:11567/781190.2","is_oa":false,"landing_page_url":"http://hdl.handle.net/11567/781190","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.699999988079071,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1510526001","https://openalex.org/W2019792447","https://openalex.org/W2064604707","https://openalex.org/W2100562977","https://openalex.org/W2103568877","https://openalex.org/W2143516773","https://openalex.org/W2148603752","https://openalex.org/W2162703409","https://openalex.org/W6630424276"],"related_works":["https://openalex.org/W2387690017","https://openalex.org/W2029983961","https://openalex.org/W2171149362","https://openalex.org/W4233015508","https://openalex.org/W987019958","https://openalex.org/W2181395181","https://openalex.org/W2078379274","https://openalex.org/W2183780938","https://openalex.org/W2030382593","https://openalex.org/W2169282664"],"abstract_inverted_index":{"The":[0,31],"problem":[1,93],"of":[2,51,55,71,79,98,134],"remote-sensing":[3],"image":[4],"classification":[5,16],"is":[6,34,94,111],"addressed":[7,105],"in":[8,58,75,82,96],"this":[9],"paper":[10],"by":[11,37],"proposing":[12],"a":[13],"novel":[14],"contextual":[15,62],"method":[17],"that":[18],"integrates":[19],"support":[20],"vector":[21],"machines":[22],"(SVMs),":[23],"Markov":[24,56],"random":[25],"fields":[26],"(MRFs),":[27],"and":[28,47,68,104,121,137],"graph":[29,72,107],"cuts.":[30,108],"proposed":[32,88],"approach":[33],"methodologically":[35],"explained":[36],"the":[38,42,48,53,60,69,87,90,119],"aim":[39],"to":[40,44],"combine":[41],"robustness":[43],"dimensionality":[45],"issues":[46],"generalization":[49],"capability":[50,70],"SVMs,":[52],"effectiveness":[54],"models":[57],"characterizing":[59],"spatial":[61],"information":[63],"associated":[64],"with":[65,129],"an":[66,99],"image,":[67],"cut":[73],"techniques":[74],"tackling":[76],"complex":[77],"problems":[78],"global":[80],"minimization":[81],"computationally":[83],"acceptable":[84],"times.":[85],"In":[86],"method,":[89],"MRF":[91],"minimum-energy":[92],"formalized":[95],"terms":[97],"appropriate":[100],"SVM":[101],"kernel":[102],"expansion":[103],"through":[106,113],"Parameter":[109],"estimation":[110],"automated":[112],"two":[114,130],"specific":[115],"algorithms,":[116],"based":[117],"on":[118],"Ho-Kashyap":[120],"Powell":[122],"numerical":[123],"procedures.":[124],"Experiments":[125],"are":[126],"carried":[127],"out":[128],"data":[131],"sets":[132],"consisting":[133],"multichannel":[135],"SAR":[136],"multispectral":[138],"high-resolution":[139],"images.":[140]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2016-06-24T00:00:00"}