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

M. V. Akinin, A. Taganov, M. Nikiforov
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引用次数: 3

摘要

考虑了基于非线性细胞人工神经网络和玻尔兹曼受限随机机实现联想记忆的数字地形图和卫星图像自动设置算法。最后给出了利用该算法设置地形图和卫星图像的可能性的实验研究结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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