Remote sensing image classification method based on capsule network

Abstract

The invention provides a remote sensing image classification method based on a capsule network. The remote sensing image classification method comprises the following steps: inputting an original remote sensing image; processing the original remote sensing image into a sample set with consistent pixels; dividing a training set and a test set from the sample set; building a VGG16-capsule network model; training the VGG16-capsule network model; and utilizing the trained VGG16-capsule network model to classify the test set. According to the method, the hybrid network model of the VGG16 network model and the capsule network is adopted, the hierarchical structure of the remote sensing image can be effectively captured, and appropriate advanced features are extracted, so that the remote sensingimage is classified, and the classification effect is better.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a remote sensing image classification method based on a capsule network. Background technique [0002] With the development of remote sensing technology, existing technologies can easily obtain various types of high-resolution remote sensing images, such as multi / hyperspectral and synthetic aperture radar. From remote sensing images, urban environment, traffic, hydrology, Therefore, it is particularly important to effectively understand the content of remote sensing images, and the requirements for intelligent recognition and classification methods of remote sensing images are getting higher and higher. In recent years, deep learning methods have been widely used in the field of image processing, and deep learning methods have also achieved remarkable results in image processing in the fields of medicine, hydrology, and urban environment. [0003] In the ...

AI Technical Summary

Problems solved by technology

[0005] The invention provides a remote sensing image classification method based on a capsule network to solve the problems existing in the prior art that the hierarchical structure of remote sensing images cannot be effectively captured and suitable high-level features cannot be effectively extracted, and the classification effect is poor

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