{"id":"https://openalex.org/W2766967232","doi":"https://doi.org/10.1109/atsip.2017.8075579","title":"Affinity propagation for unsupervised classification of remotely sensed images","display_name":"Affinity propagation for unsupervised classification of remotely sensed images","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2766967232","doi":"https://doi.org/10.1109/atsip.2017.8075579","mag":"2766967232"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2017.8075579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5070599384","display_name":"Ahmed Tahraoui","orcid":null},"institutions":[{"id":"https://openalex.org/I192268740","display_name":"University of Algiers Benyoucef Benkhedda","ror":"https://ror.org/011r6gp69","country_code":"DZ","type":"education","lineage":["https://openalex.org/I192268740"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Ahmed Tahraoui","raw_affiliation_strings":["Faculty of Electronic and Computer Science, Image Processing and Radiation Laboratory, Algiers, Algeria"],"affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Computer Science, Image Processing and Radiation Laboratory, Algiers, Algeria","institution_ids":["https://openalex.org/I192268740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021613264","display_name":"Radja Kheddam","orcid":null},"institutions":[{"id":"https://openalex.org/I192268740","display_name":"University of Algiers Benyoucef Benkhedda","ror":"https://ror.org/011r6gp69","country_code":"DZ","type":"education","lineage":["https://openalex.org/I192268740"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Radja Kheddam","raw_affiliation_strings":["Faculty of Electronic and Computer Science, Image Processing and Radiation Laboratory, Algiers, Algeria"],"affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Computer Science, Image Processing and Radiation Laboratory, Algiers, Algeria","institution_ids":["https://openalex.org/I192268740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055382508","display_name":"Abdenour Bouakache","orcid":null},"institutions":[{"id":"https://openalex.org/I192268740","display_name":"University of Algiers Benyoucef Benkhedda","ror":"https://ror.org/011r6gp69","country_code":"DZ","type":"education","lineage":["https://openalex.org/I192268740"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Abdenour Bouakache","raw_affiliation_strings":["Faculty of Electronic and Computer Science, Image Processing and Radiation Laboratory, Algiers, Algeria"],"affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Computer Science, Image Processing and Radiation Laboratory, Algiers, Algeria","institution_ids":["https://openalex.org/I192268740"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008445943","display_name":"Aichouche Belhadj-Aissa","orcid":"https://orcid.org/0000-0001-7287-2981"},"institutions":[{"id":"https://openalex.org/I192268740","display_name":"University of Algiers Benyoucef Benkhedda","ror":"https://ror.org/011r6gp69","country_code":"DZ","type":"education","lineage":["https://openalex.org/I192268740"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Aichouche Belhadj-Aissa","raw_affiliation_strings":["Faculty of Electronic and Computer Science, Image Processing and Radiation Laboratory, Algiers, Algeria"],"affiliations":[{"raw_affiliation_string":"Faculty of Electronic and Computer Science, Image Processing and Radiation Laboratory, Algiers, Algeria","institution_ids":["https://openalex.org/I192268740"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.253974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":75,"max":77},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9832,"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":0.9832,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9498,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.928,"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/contextual-image-classification","display_name":"Contextual image classification","score":0.6180726},{"id":"https://openalex.org/keywords/affinity-propagation","display_name":"Affinity propagation","score":0.5985984}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7375292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6844152},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.66655654},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6180726},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.60675126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.600489},{"id":"https://openalex.org/C109659709","wikidata":"https://www.wikidata.org/wiki/Q3407504","display_name":"Affinity propagation","level":5,"score":0.5985984},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.53162545},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.4764136},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46888182},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.46765015},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.45030487},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.44984245},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30080658},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25167683},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20903116},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.14765462},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.13608676},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2017.8075579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":10,"referenced_works":["https://openalex.org/W1531992391","https://openalex.org/W2010140249","https://openalex.org/W2045181608","https://openalex.org/W2105979014","https://openalex.org/W2126554879","https://openalex.org/W2127218421","https://openalex.org/W2155007149","https://openalex.org/W2161528141","https://openalex.org/W2165232124","https://openalex.org/W571666680"],"related_works":["https://openalex.org/W4391030644","https://openalex.org/W4205174160","https://openalex.org/W2988577871","https://openalex.org/W2317401237","https://openalex.org/W2167120702","https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W2011962637","https://openalex.org/W1990800631","https://openalex.org/W1987483041"],"abstract_inverted_index":{"The":[0],"aim":[1],"of":[2,42,58,92,97,106,164],"this":[3,122],"paper":[4],"is":[5,37,63,172,179],"to":[6,46,68,88,110,114,141,153,185],"present":[7,125],"a":[8,52,155],"new":[9],"unsupervised":[10,186],"classification":[11,188],"method":[12,79],"for":[13,32],"satellite":[14,166],"multispectral":[15,90],"images":[16,91],"based":[17,39],"on":[18,40],"affinity":[19,25],"propagation":[20,26],"(AP)":[21],"algorithm.":[22,193],"Recently":[23],"proposed,":[24],"becomes":[27,99],"the":[28,56,77,119,126,143,175,190],"most":[29],"widely":[30],"methods":[31],"data":[33],"clustering.":[34],"This":[35],"technique":[36],"essentially":[38],"passing":[41],"messages":[43],"between":[44],"pixels":[45,67],"be":[47],"automatically":[48],"classified":[49],"without":[50],"any":[51],"priori":[53],"knowledge":[54],"about":[55],"number":[57,108],"classes.":[59],"Its":[60],"main":[61],"advantage":[62],"that":[64,174],"initially":[65],"all":[66],"classify":[69,154],"are":[70],"considered":[71],"as":[72],"centroids":[73],"or":[74],"\"exemplars\".":[75],"However,":[76],"AP":[78,127,192],"has":[80],"two":[81,144],"major":[82],"drawbacks:":[83],"1)":[84],"when":[85],"it":[86,102,171],"comes":[87],"partition":[89],"high":[93],"spatial":[94,157],"size,":[95],"complexity":[96],"computation":[98],"quadratic":[100],"2)":[101],"gives":[103],"an":[104,137],"overestimation":[105],"class":[107],"due":[109],"its":[111,130],"great":[112],"sensitivity":[113],"very":[115],"small":[116],"variations":[117],"in":[118,129],"image.":[120],"In":[121],"work,":[123],"we":[124,134],"algorithm":[128],"original":[131],"version":[132],"and":[133,182],"have":[135,150],"proposed":[136,176],"iterative":[138],"AP-block":[139,177],"procedure":[140],"address":[142],"issues":[145],"mentioned":[146],"above.":[147],"Both":[148],"versions":[149],"been":[151],"applied":[152],"low":[156],"resolution":[158],"image":[159,187],"acquired":[160],"by":[161],"ETM+":[162],"sensor":[163],"american":[165],"LandSat-7.":[167],"From":[168],"obtained":[169],"results,":[170],"concluded":[173],"classifier":[178],"more":[180,183],"appropriate":[181],"efficient":[184],"than":[189],"classical":[191]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2766967232","counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2025-03-17T17:40:42.637644","created_date":"2017-11-10"}