Method and device for creating remote sensing image style migration model

A remote sensing image and model technology, applied in the field of remote sensing image processing, can solve the problems of increasing time cost, difficulty in ensuring segmentation accuracy, and difficulty in bringing satisfactory results to remote sensing images, so as to avoid unbalanced styles and be obviously real Stylistic effects, effects that maintain texture characteristics and color characteristics

CN114022352AActive Publication Date: 2022-02-08成都国星宇航科技股份有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2022-02-08

Smart Images

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Abstract

The embodiment of the invention discloses a method and a device for creating a remote sensing image style migration model, and the method comprises the steps: employing an iteration mode to execute the following steps until the obtained overall feature loss reaches a preset threshold value: inputting an original image into an initial learning algorithm model, and obtaining a generated image; inputting the original image, the generated image and the style image into a pre-training model to obtain overall feature loss; adjusting parameters of the initial learning algorithm model, weights of a plurality of different pieces of feature information in the pre-training model and a mixing ratio between the weight of the content feature information and the weight of the style feature information according to the overall feature loss; and taking the initial learning algorithm model adjusted according to the overall feature loss conforming to a preset threshold as a remote sensing image style migration model. Through the scheme of the embodiment, the style imbalance of the strong style image is avoided, the texture feature and the color feature of the original image are maintained, and the obvious real style effect is achieved.
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Description

technical field

[0001] The embodiment of the present application relates to remote sensing image processing technology based on deep learning, especially a method and device for creating a remote sensing image style migration model. Background technique

[0002] The current art style migration algorithm based on deep learning:

[0003] The stylized output of the content image obtained by the generative model of artistic style and the model based on optimization has large local changes, distortion of lines and texture, and cannot reflect the true color of the image, making the current artistic style migration algorithm based on deep learning ineffective. The style transfer suitable for real remote sensing images can hardly be applied to the style transfer of remote sensing images. At the same time, the style transfer model based on optimization needs a long iterative optimization time, and the generated image after stylization has large color blocks and artifacts.

[0004] T...

Examples

Embodiment Construction

[0038] The application describes a number of embodiments, but the description is illustrative rather than restrictive, and it will be obvious to those of ordinary skill in the art that within the scope of the embodiments described in the application, There are many more embodiments and implementations. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are possible. Except where expressly limited, any feature or element of any embodiment may be used in combination with, or substituted for, any other feature or element of any other embodiment.

[0039] This application includes and contemplates combinations of features and elements known to those of ordinary skill in the art. The disclosed embodiments, features and elements of this application can also be combined with any conventional features or elements to form unique inventive solutions as defined by the clai...