{"id":"https://openalex.org/W2130487198","doi":"https://doi.org/10.1109/tgrs.2012.2219059","title":"A Classification Algorithm for Hyperspectral Images Based on Synergetics Theory","display_name":"A Classification Algorithm for Hyperspectral Images Based on Synergetics Theory","publication_year":2012,"publication_date":"2012-11-21","ids":{"openalex":"https://openalex.org/W2130487198","doi":"https://doi.org/10.1109/tgrs.2012.2219059","mag":"2130487198"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2012.2219059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2012.2219059","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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/A5089509014","display_name":"Daniele Cerra","orcid":"https://orcid.org/0000-0003-2984-8315"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Daniele Cerra","raw_affiliation_strings":["Remote Sensing Technology Institute, German Aerospace Centre (DLR), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute, German Aerospace Centre (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031487450","display_name":"Rupert M\u00fcller","orcid":"https://orcid.org/0000-0002-3288-5814"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rupert Muller","raw_affiliation_strings":["Remote Sensing Technology Institute, German Aerospace Centre (DLR), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute, German Aerospace Centre (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052386553","display_name":"Peter Reinartz","orcid":"https://orcid.org/0000-0002-8122-1475"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Reinartz","raw_affiliation_strings":["Remote Sensing Technology Institute, German Aerospace Centre (DLR), Wessling, Germany"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute, German Aerospace Centre (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089509014"],"corresponding_institution_ids":["https://openalex.org/I2898391981"],"apc_list":null,"apc_paid":null,"fwci":2.5985,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90871989,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"51","issue":"5","first_page":"2887","last_page":"2898"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.9994999766349792,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.9700000286102295,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8653410077095032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6686112880706787},{"id":"https://openalex.org/keywords/synergetics","display_name":"Synergetics (Haken)","score":0.6548414826393127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5966789722442627},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5660658478736877},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5070345401763916},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4728282392024994},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.4286147654056549},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.42775478959083557},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3499823808670044},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30068260431289673},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26978713274002075}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8653410077095032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6686112880706787},{"id":"https://openalex.org/C2776910305","wikidata":"https://www.wikidata.org/wiki/Q1506712","display_name":"Synergetics (Haken)","level":2,"score":0.6548414826393127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5966789722442627},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5660658478736877},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5070345401763916},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4728282392024994},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4286147654056549},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.42775478959083557},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3499823808670044},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30068260431289673},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26978713274002075},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2012.2219059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2012.2219059","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:elib.dlr.de:78367","is_oa":false,"landing_page_url":"https://doi.org/10.1109/TGRS.2012.2219059>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W194561361","https://openalex.org/W1497042422","https://openalex.org/W1519519755","https://openalex.org/W1522547150","https://openalex.org/W1566319450","https://openalex.org/W1576520375","https://openalex.org/W1795695898","https://openalex.org/W1967698759","https://openalex.org/W1973022453","https://openalex.org/W1979728055","https://openalex.org/W1981330686","https://openalex.org/W1984762592","https://openalex.org/W2008780668","https://openalex.org/W2010319424","https://openalex.org/W2054461562","https://openalex.org/W2070424424","https://openalex.org/W2074775680","https://openalex.org/W2094304765","https://openalex.org/W2097915756","https://openalex.org/W2099301440","https://openalex.org/W2101365302","https://openalex.org/W2102150301","https://openalex.org/W2106777458","https://openalex.org/W2113236250","https://openalex.org/W2113464037","https://openalex.org/W2122301197","https://openalex.org/W2126796976","https://openalex.org/W2127900095","https://openalex.org/W2131697388","https://openalex.org/W2136251662","https://openalex.org/W2137813581","https://openalex.org/W2148029179","https://openalex.org/W2160633256","https://openalex.org/W2168481151","https://openalex.org/W2295820431","https://openalex.org/W2313905422","https://openalex.org/W2406093411","https://openalex.org/W2487087946","https://openalex.org/W3123586397","https://openalex.org/W4231680461","https://openalex.org/W4233760599","https://openalex.org/W4255376678"],"related_works":["https://openalex.org/W4207069147","https://openalex.org/W2347678497","https://openalex.org/W2384245039","https://openalex.org/W3130521428","https://openalex.org/W66116174","https://openalex.org/W2383730743","https://openalex.org/W4242538369","https://openalex.org/W4206647144","https://openalex.org/W2313905422","https://openalex.org/W2384927507"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,60,90,94,111,116,125,130,147,153,161,181,203,220],"classification":[4,133,184,194,236],"methodology":[5],"for":[6,164],"hyperspectral":[7,61,78,243],"data":[8,57,223],"based":[9,16],"on":[10,17,37,199],"synergetics":[11,18],"theory.":[12],"Pattern":[13],"recognition":[14],"algorithms":[15],"have":[19,143],"been":[20],"applied":[21,55],"to":[22,56,72,102,115,170,179,242],"images":[23],"in":[24,31,63,76,89,196,216],"the":[25,32,38,44,64,77,144,158,172,200,209],"spatial":[26],"domain":[27],"with":[28],"limited":[29],"success":[30],"past,":[33],"given":[34],"their":[35],"dependence":[36],"rotation,":[39],"shifting,":[40],"and":[41,107,178,232,240],"scaling":[42],"of":[43,96,105,146,160,167,189,202],"images.":[45],"These":[46],"drawbacks":[47],"can":[48,80,120],"be":[49,81,122,213],"discarded":[50],"if":[51],"such":[52],"methods":[53],"are":[54,230],"acquired":[58],"by":[59,93,110],"sensor":[62],"spectral":[65],"domain,":[66],"as":[67],"each":[68,165,193],"single":[69,204],"spectrum,":[70],"related":[71],"an":[73],"image":[74,132],"element":[75],"scene,":[79],"analyzed":[82],"independently.":[83],"The":[84,118,227],"spectrum":[85,119],"is":[86,195,225],"first":[87,126],"projected":[88],"space":[91],"spanned":[92],"set":[95,224],"user-defined":[97],"prototype":[98,173],"vectors,":[99],"which":[100,156],"belong":[101],"some":[103],"classes":[104],"interest,":[106,168],"then":[108],"attracted":[109],"final":[112],"state":[113],"associated":[114],"prototype.":[117],"thus":[121],"classified,":[123],"establishing":[124],"attempt":[127],"at":[128],"performing":[129],"pixel-wise":[131],"using":[134],"notions":[135],"derived":[136],"from":[137],"synergetics.":[138],"As":[139,192],"typical":[140],"synergetics-based":[141],"systems":[142],"drawback":[145],"rigid":[148],"training":[149,162,205,222],"step,":[150],"we":[151],"introduce":[152],"new":[154],"procedure":[155],"allows":[157],"selection":[159],"area":[163],"class":[166],"used":[169],"weight":[171],"vectors":[174],"through":[175,186],"attention":[176],"parameters":[177],"produce":[180],"more":[182],"accurate":[183],"map":[185],"plurality":[187],"vote":[188],"independent":[190],"classifications.":[191],"principle":[197],"obtained":[198],"basis":[201],"sample":[206],"per":[207],"class,":[208],"proposed":[210],"technique":[211],"could":[212],"particularly":[214],"effective":[215],"tasks":[217],"where":[218],"only":[219],"small":[221],"available.":[226],"results":[228],"presented":[229],"promising":[231],"often":[233],"outperform":[234],"state-of-the-art":[235],"methodologies,":[237],"both":[238],"general":[239],"specific":[241],"data.":[244]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
