Application of Convolutional Neural Networks in High Score Remote Sensing Image Classification
Abstract:Remote sensing image classification is a critical link in remote sensing. Traditional remote sensing image classification is based on shallow structure model algorithms such as SVM and decision tree. However, when faced with high-resolution remote sensing images, due to a large amount of data and complex data features, the recognition accuracy of traditional shallow models has been unable to meet the current needs. When faced with image classification, convolutional neural networks can better cope with image t… Show more
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