{"id":"https://openalex.org/W2022010557","doi":"https://doi.org/10.1117/12.226836","title":"Classification of remote sensing imagery using genetic algorithms and neural networks","display_name":"Classification of remote sensing imagery using genetic algorithms and neural networks","publication_year":1995,"publication_date":"1995-11-17","ids":{"openalex":"https://openalex.org/W2022010557","doi":"https://doi.org/10.1117/12.226836","mag":"2022010557"},"language":"en","primary_location":{"id":"doi:10.1117/12.226836","doi":"https://doi.org/10.1117/12.226836","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.226836","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5008042023","display_name":"Graham M. Herries","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I84027002","display_name":"Leeds Beckett University","ror":"https://ror.org/02xsh5r57","country_code":"GB","type":"education","lineage":["https://openalex.org/I84027002"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Graham M. Herries","raw_affiliation_strings":["Leeds Metropolitan Univ. (United Kingdom)","Leeds Metropolitan University (United Kingdom)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leeds Metropolitan Univ. (United Kingdom)","institution_ids":["https://openalex.org/I84027002"]},{"raw_affiliation_string":"Leeds Metropolitan University (United Kingdom)","institution_ids":["https://openalex.org/I84027002"]}]},{"author_position":"middle","author":{"id":null,"display_name":"A. Murray","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I84027002","display_name":"Leeds Beckett University","ror":"https://ror.org/02xsh5r57","country_code":"GB","type":"education","lineage":["https://openalex.org/I84027002"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"A. Murray","raw_affiliation_strings":["Leeds Metropolitan Univ. (United Kingdom)","Leeds Metropolitan University (United Kingdom)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leeds Metropolitan Univ. (United Kingdom)","institution_ids":["https://openalex.org/I84027002"]},{"raw_affiliation_string":"Leeds Metropolitan University (United Kingdom)","institution_ids":["https://openalex.org/I84027002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068043644","display_name":"S. Danaher","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I84027002","display_name":"Leeds Beckett University","ror":"https://ror.org/02xsh5r57","country_code":"GB","type":"education","lineage":["https://openalex.org/I84027002"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sean Danaher","raw_affiliation_strings":["Leeds Metropolitan Univ. (United Kingdom)","Leeds Metropolitan University (United Kingdom)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leeds Metropolitan Univ. (United Kingdom)","institution_ids":["https://openalex.org/I84027002"]},{"raw_affiliation_string":"Leeds Metropolitan University (United Kingdom)","institution_ids":["https://openalex.org/I84027002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113541967","display_name":"T. Selige","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3018134672","display_name":"Helmholtz Munich","ror":"https://ror.org/00cfam450","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I3018134672"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Selige","raw_affiliation_strings":["GSF--Ctr. for Environmental and Health Research (Germany)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GSF--Ctr. for Environmental and Health Research (Germany)","institution_ids":["https://openalex.org/I3018134672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.24277017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"2579","issue":null,"first_page":"200","last_page":"209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9740999937057495,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9740999937057495,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.012600000016391277,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.004000000189989805,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing-image-classification","display_name":"remote sensing image classification","score":0.8849999904632568},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.9449999928474426},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.718999981880188},{"id":"https://openalex.org/keywords/neuroevolution","display_name":"neuroevolution","score":0.8679999709129333},{"id":"https://openalex.org/keywords/feedforward-neural-networks","display_name":"feedforward neural networks","score":0.7739999890327454},{"id":"https://openalex.org/keywords/backpropagation","display_name":"backpropagation","score":0.8920000195503235},{"id":"https://openalex.org/keywords/weight-initialization","display_name":"weight initialization","score":0.5979999899864197},{"id":"https://openalex.org/keywords/local-minima","display_name":"local minima","score":0.8299999833106995}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.8153021335601807},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7661397457122803},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.7037824988365173},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6334237456321716},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.6272916793823242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6228588223457336},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5853514075279236},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5826202034950256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5521987080574036},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5029148459434509},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4445471167564392},{"id":"https://openalex.org/C98359873","wikidata":"https://www.wikidata.org/wiki/Q1320470","display_name":"Rprop","level":5,"score":0.43036895990371704},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.4197350740432739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38106682896614075},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3378176689147949},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2516881227493286},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.22117668390274048},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.2029959261417389},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.226836","doi":"https://doi.org/10.1117/12.226836","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.226836","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320298","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1634397737","https://openalex.org/W2367876410","https://openalex.org/W3000565593","https://openalex.org/W4391584593","https://openalex.org/W3032518901","https://openalex.org/W1974771415","https://openalex.org/W7219556086","https://openalex.org/W2164031722","https://openalex.org/W2116386579","https://openalex.org/W3028944228"],"abstract_inverted_index":{"This":[0,80],"paper":[1,81],"presents":[2],"the":[3,33,58,69,73,93,143,152,161,177,184],"application":[4],"of":[5,60,75,126,154,160],"Neural":[6,117],"Networks":[7],"(ANN)":[8],"and":[9,31,57,103,111,133,137,147,171],"introduces":[10],"Genetic":[11],"Algorithms":[12],"(GA)":[13],"to":[14,29,42,54,164,180],"agricultural":[15],"land":[16],"use":[17],"classification.":[18],"Daedalus":[19],"ATM":[20],"data":[21,78],"at":[22],"1":[23],"m":[24],"resolution,":[25],"has":[26],"been":[27,40],"used":[28],"train":[30],"test":[32],"algorithms.":[34],"Layered":[35],"feed":[36,88],"forward":[37,89],"ANN's":[38,110],"have":[39,43,113],"found":[41],"good":[44],"generalization":[45],"properties.":[46],"The":[47,135],"Backpropagation":[48],"(BP)":[49],"algorithm":[50,179],"is":[51,67],"very":[52],"susceptible":[53],"initial":[55],"conditions":[56],"problem":[59],"local":[61],"minima.":[62,186],"Therefore":[63],"this":[64,121],"technique":[65,85],"alone":[66],"not":[68],"best":[70],"method":[71],"for":[72,86,96],"classification":[74],"complex":[76],"multi-dimensional":[77],"sets.":[79],"applies":[82],"an":[83],"evolutionary":[84],"training":[87],"ANN's,":[90],"which":[91],"searches":[92],"error":[94],"space":[95],"a":[97,129,165],"more":[98],"likely":[99],"initialization":[100],"point.":[101],"Optimization":[102],"learning":[104],"problems":[105],"are":[106,139,173],"two":[107],"techniques":[108],"where":[109,158],"GA's":[112],"excelled.":[114],"Evolutionary":[115],"Artificial":[116],"Networks,":[118],"introduced":[119],"in":[120],"paper,":[122],"can":[123,148],"be":[124,149],"thought":[125],"as":[127],"being":[128],"cross":[130],"between":[131],"ANNs":[132],"GAs.":[134],"weights":[136,170],"biases":[138,172],"updated":[140],"by":[141,176],"applying":[142],"mutation":[144],"genetic":[145],"operator":[146],"compared":[150],"with":[151],"principle":[153],"natural":[155],"biological":[156],"life,":[157],"survival":[159],"fittest":[162],"leads":[163],"near":[166],"optimum":[167],"ANN.":[168],"These":[169],"then":[174],"adopted":[175],"BP":[178],"quickly":[181],"converge":[182],"on":[183],"global":[185]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-09-27T08:07:27.782135","created_date":"2016-06-24T00:00:00"}