Application of Convolutional Neural Networks in Remote Sensing Image Classification

Han Yaochang, Wang Jie
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Abstract

Aiming at the problem of remote sensing image classification, this paper designs an improved convolutional neural network structure. Combined with the transfer learning method, the classification experiments of different remote sensing image datasets are compared, and the effectiveness and versatility of the proposed method are verified.
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卷积神经网络在遥感图像分类中的应用
针对遥感图像分类问题,设计了一种改进的卷积神经网络结构。结合迁移学习方法,对不同遥感图像数据集的分类实验进行了比较,验证了所提方法的有效性和通用性。
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