...键词： 遥感影像分类；纹理特征；影像融合；bp神经网络；灰度共生矩阵 [gap=942]keywords: remote sensing image classification; texture features; fused image; bp neural network; gray level co-occurrence mat..
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Remote sensing image classification is an important research field of information processing.
遥感影像分类是遥感信息处理的重要研究领域之一。
Improving classification accuracy is always the focus for remote sensing image classification.
提高遥感图像分类精度一直是受到普遍关注的焦点问题。
Current remote sensing image classification models and algorithms commonly used statistical methods, neural networks, Bayesian and so on.
目前遥感影像分类的常用模型和算法有统计学方法、神经网络、贝叶斯等。
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