{"title":"基于非线性细胞神经网络和玻尔兹曼受限随机机的遥感数据与数字地图自动组合算法","authors":"M. V. Akinin, A. Taganov, M. Nikiforov","doi":"10.1109/MECO.2014.6862679","DOIUrl":null,"url":null,"abstract":"There's considered the algorithm of the automated setting of digital topographic maps and satellite images, based on the use of a non-linear cellular artificial neural network and Boltzmann's restricted stochastic machine realizing the associative memory. There are provided the experimental investigations results of the possibility of using the developed algorithm for setting topographic maps and satellite images.","PeriodicalId":416168,"journal":{"name":"2014 3rd Mediterranean Conference on Embedded Computing (MECO)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Algorithm of the automated combining of remote sensing data and digital maps, based on non-linear cellular neural network and Boltzmann's restricted stochastic machine\",\"authors\":\"M. V. Akinin, A. Taganov, M. Nikiforov\",\"doi\":\"10.1109/MECO.2014.6862679\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There's considered the algorithm of the automated setting of digital topographic maps and satellite images, based on the use of a non-linear cellular artificial neural network and Boltzmann's restricted stochastic machine realizing the associative memory. There are provided the experimental investigations results of the possibility of using the developed algorithm for setting topographic maps and satellite images.\",\"PeriodicalId\":416168,\"journal\":{\"name\":\"2014 3rd Mediterranean Conference on Embedded Computing (MECO)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 3rd Mediterranean Conference on Embedded Computing (MECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MECO.2014.6862679\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 3rd Mediterranean Conference on Embedded Computing (MECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MECO.2014.6862679","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Algorithm of the automated combining of remote sensing data and digital maps, based on non-linear cellular neural network and Boltzmann's restricted stochastic machine
There's considered the algorithm of the automated setting of digital topographic maps and satellite images, based on the use of a non-linear cellular artificial neural network and Boltzmann's restricted stochastic machine realizing the associative memory. There are provided the experimental investigations results of the possibility of using the developed algorithm for setting topographic maps and satellite images.