BP神经网络近年来广泛地应用于遥感影像分类中。
BP neural network is widely used for classification of remote sensing image data nowadays.
遥感已广泛应用于森林动态监测，遥感影像实物分类统计法为森林覆盖动态监测提供了可能。
Remote sensing has being applied broadly to forest dynamic monitoring, real object classification statistical method offers the feasibility for forest cover dynamic monitoring.
提高计算机遥感影像的分类精度，是遥感应用中研究的主要问题之一。
To improve remotely sensed imagery classification accuracy is one of the main topics in the field of remote sensing application research.
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