{"id":"https://openalex.org/W2164402210","doi":"https://doi.org/10.1109/icnc.2011.6022338","title":"Unsupervised remote sensing image classification using an artificial DNA computing","display_name":"Unsupervised remote sensing image classification using an artificial DNA computing","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2164402210","doi":"https://doi.org/10.1109/icnc.2011.6022338","mag":"2164402210"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2011.6022338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2011.6022338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Seventh International Conference on Natural Computation","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/A5026145013","display_name":"Hongzan Jiao","orcid":"https://orcid.org/0000-0002-7048-3293"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiao Hongzan","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhong Yanfei","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Yanfei","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhang Liangpei","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Liangpei","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000898259","display_name":"Pingxiang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Pingxiang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026145013"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":null,"apc_paid":null,"fwci":0.4002,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.63736174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"13","issue":null,"first_page":"1341","last_page":"1345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12029","display_name":"DNA and Biological Computing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12029","display_name":"DNA and Biological Computing","score":0.9998999834060669,"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/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9987999796867371,"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/T12162","display_name":"Cellular Automata and Applications","score":0.9610999822616577,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8678011894226074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7695727348327637},{"id":"https://openalex.org/keywords/multispectral-pattern-recognition","display_name":"Multispectral pattern recognition","score":0.6910799145698547},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6521036028862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.639238715171814},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5103437304496765},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4818614423274994},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4747631549835205},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4693238437175751},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.439363956451416},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.4061797857284546},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2794659733772278},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14925363659858704}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8678011894226074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7695727348327637},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.6910799145698547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6521036028862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.639238715171814},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5103437304496765},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4818614423274994},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4747631549835205},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4693238437175751},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.439363956451416},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4061797857284546},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2794659733772278},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14925363659858704},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2011.6022338","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2011.6022338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Seventh International Conference on Natural Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1492299013","https://openalex.org/W1501347617","https://openalex.org/W1646333690","https://openalex.org/W1977312644","https://openalex.org/W1980525840","https://openalex.org/W2007496476","https://openalex.org/W2069231830","https://openalex.org/W2073802252","https://openalex.org/W2095590877","https://openalex.org/W2126256889","https://openalex.org/W2134807165","https://openalex.org/W2135732414","https://openalex.org/W2137033247","https://openalex.org/W2165831857","https://openalex.org/W6630229783","https://openalex.org/W6684347041"],"related_works":["https://openalex.org/W2988577871","https://openalex.org/W1987483041","https://openalex.org/W2128126485","https://openalex.org/W1995889410","https://openalex.org/W4382563209","https://openalex.org/W2124952510","https://openalex.org/W2018850895","https://openalex.org/W1752760603","https://openalex.org/W2777937183","https://openalex.org/W2022304901"],"abstract_inverted_index":{"In":[0,65],"this":[1,66],"paper,":[2,67],"a":[3,30],"spectral":[4],"encoding":[5],"and":[6,48,77,101,115,119,124],"matching":[7],"algorithm":[8,94],"inspired":[9],"by":[10,73],"artificial":[11],"DNA":[12],"computing":[13],"(ADC)":[14],"is":[15,56,75,104,109],"proposed":[16,93],"to":[17,87,111],"perform":[18],"the":[19,78,89,92,112],"task":[20,72],"of":[21,33,41,91],"unsupervised":[22,68],"classification":[23,52,71],"for":[24,53],"hyperspectral":[25,54,69],"remote":[26],"sensing":[27],"data.":[28,64],"As":[29],"novel":[31],"branch":[32],"biological":[34],"computational":[35],"intelligence,":[36],"ADC":[37,74],"has":[38],"strong":[39],"capabilities":[40],"pattern":[42,58],"recognition,":[43],"huge":[44],"information":[45],"memory,":[46],"parallel":[47],"fast":[49],"computation.":[50],"Unsupervised":[51],"data":[55,70],"complicated":[57],"recognition":[59],"problem":[60],"with":[61,96],"massive":[62],"volume":[63],"attempted":[76],"preliminary":[79],"results":[80],"are":[81],"provided.":[82],"The":[83],"experiment":[84],"was":[85],"performed":[86],"evaluate":[88],"performance":[90],"compared":[95],"two":[97],"known":[98],"algorithms:":[99],"K-means":[100],"ISODATA.":[102],"It":[103],"demonstrated":[105],"that":[106],"our":[107],"method":[108],"superior":[110],"traditional":[113],"algorithms":[114],"its":[116],"overall":[117],"accuracy":[118],"Kappa":[120],"coefficient":[121],"reach":[122],"80.96%":[123],"0.7631":[125],"respectively.":[126]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}