{"id":"https://openalex.org/W2160420385","doi":"https://doi.org/10.1109/igarss.2005.1526221","title":"Automatic remotely sensed data clustering by tree-structured self-organizing maps","display_name":"Automatic remotely sensed data clustering by tree-structured self-organizing maps","publication_year":2005,"publication_date":"2005-11-15","ids":{"openalex":"https://openalex.org/W2160420385","doi":"https://doi.org/10.1109/igarss.2005.1526221","mag":"2160420385"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2005.1526221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1526221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","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/A5058879947","display_name":"M\u00e1rcio L. Gon\u00e7alves","orcid":null},"institutions":[{"id":"https://openalex.org/I170935008","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica de Minas Gerais","ror":"https://ror.org/03j1rr444","country_code":"BR","type":"education","lineage":["https://openalex.org/I170935008"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"M.L. Goncalves","raw_affiliation_strings":["PUC-Minas, Pocos de Caldas, Minas Gerais, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PUC-Minas, Pocos de Caldas, Minas Gerais, Brazil","institution_ids":["https://openalex.org/I170935008"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045448112","display_name":"M.L. de Andrade Netto","orcid":null},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"M.L. de Andrade Netto","raw_affiliation_strings":["School of Electrical and Computer Engineering, State University of Campinas, Sao Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, State University of Campinas, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025179228","display_name":"Jos\u00e9 Alfredo Ferreira Costa","orcid":"https://orcid.org/0000-0002-1290-6454"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"J.A. Ferreira Costa","raw_affiliation_strings":["Department of Electrical Engineering, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Federal University of Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018315021","display_name":"Jurandir Zullo","orcid":"https://orcid.org/0000-0002-5945-4918"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"J. Zullo","raw_affiliation_strings":["Center of Meteorological and Climatic Research Applied to Agriculture, State University of Campinas, Sao Paulo, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Meteorological and Climatic Research Applied to Agriculture, State University of Campinas, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5829,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86688633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"502","last_page":"505"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9945999979972839,"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":0.9945999979972839,"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/T10320","display_name":"Neural Networks and Applications","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.970300018787384,"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/self-organizing-map","display_name":"Self-organizing map","score":0.7732598781585693},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7490594387054443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7243057489395142},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6555522084236145},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5333480834960938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5062524676322937},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.5052161812782288},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4870157837867737},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.47690272331237793},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47350791096687317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4672676622867584},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4579320251941681},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.44014352560043335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12836197018623352}],"concepts":[{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.7732598781585693},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7490594387054443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7243057489395142},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6555522084236145},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5333480834960938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5062524676322937},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.5052161812782288},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4870157837867737},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.47690272331237793},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47350791096687317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4672676622867584},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4579320251941681},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.44014352560043335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12836197018623352},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2005.1526221","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1526221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1175789168","https://openalex.org/W1510775181","https://openalex.org/W2025649768","https://openalex.org/W2104679585","https://openalex.org/W2111018929","https://openalex.org/W2117438495","https://openalex.org/W2127201702","https://openalex.org/W2151346242","https://openalex.org/W4237222446"],"related_works":["https://openalex.org/W2034551444","https://openalex.org/W2023416609","https://openalex.org/W1844640764","https://openalex.org/W2051216975","https://openalex.org/W2982550593","https://openalex.org/W2090505479","https://openalex.org/W2013265235","https://openalex.org/W1485794011","https://openalex.org/W2105758207","https://openalex.org/W4251684294"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,23,67,85],"clusters":[4,13],"analysis":[5],"method":[6,80],"which":[7],"automatically":[8],"finds":[9],"the":[10,17,42,49,73],"number":[11],"of":[12,19,30,32,60,69,95],"as":[14,16],"well":[15],"partitioning":[18],"data":[20,37,75],"set":[21],"in":[22],"remotely":[24,101],"sensed":[25,102],"image":[26,34,87],"without":[27],"any":[28],"type":[29],"assistance":[31],"an":[33],"analyst.":[35],"The":[36,77],"clustering":[38,79],"is":[39],"made":[40],"using":[41],"self-organizing":[43],"(or":[44],"Kohonen)":[45],"map":[46],"(SOM)":[47],"and":[48,64,88],"techniques":[50],"proposed":[51,78],"by":[52],"Costa":[53],"&":[54],"Netto":[55],"(2001)":[56],"for":[57,65,100],"automatic":[58],"partition":[59],"trained":[61],"SOM":[62],"networks":[63],"generating":[66],"hierarchy":[68],"maps":[70],"based":[71],"on":[72,84],"detected":[74],"clusters.":[76],"has":[81],"been":[82],"applied":[83],"LANDSAT/TM":[86],"its":[89],"performance":[90],"was":[91],"compared":[92],"with":[93],"that":[94],"K-means":[96],"algorithm,":[97],"conventionally":[98],"used":[99],"images.":[103]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}