A remote sensing image classification method and system

Abstract

The invention discloses a remote sensing image classification method and system, and the method comprises the steps: obtaining a to-be-processed remote sensing image set, and dividing the to-be-processed remote sensing image set into a training set and a test set; Converting the training set and the test set into a training data file and a test data file respectively; Then constructing a convolutional neural network model; Taking the training data file as input of the convolutional neural network model for training, and updating the convolutional neural network model according to a training result; And finally, testing the test data as the input of the convolutional neural network model updated according to the training result, and optimizing the updated convolutional neural network modelagain according to the test accuracy to obtain a final convolutional neural network model used for classifying the remote sensing image set. Selection and optimization of the convolutional neural network model can be realized according to specific application scenarios and image features, and the accuracy of the classification method is improved.

Description

technical field [0001] The invention relates to the fields of image processing and computer vision, in particular to a remote sensing image classification method and a classification system. Background technique [0002] With the development of science and technology, remote sensing technology is developing in the direction of multi-source data, quantitative, real-time, and intelligent. The resolution of remote sensing images is constantly improving, and the amount of data is also increasing. The era of remote sensing big data has come. However, existing remote sensing image analysis and massive data processing technologies are difficult to meet the requirements of current remote sensing big data applications. Therefore, the information mining theory of remote sensing big data combined with artificial intelligence methods is one of the current frontier fields. [0003] Remote sensing image classification has important applications in environmental change monitoring, urban ...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a remote sensing image classification method and a remote sensing image classification system, which are used to solve the problems of model solidification and low model selection freedom in the above-mentioned background technology

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