Remote sensing image road segmentation method based on context information and attention mechanism

A technology of remote sensing images and attention, which is applied to computer components, character and pattern recognition, instruments, etc., can solve the problems of spatial information loss, image resolution reduction, and failure to consider geometric topological structures, etc., to avoid loss of positional information , avoid explosion and disappearance, and ensure the effect of splitting effect
CN112183258AInactive Publication Date: 2021-01-05TAIYUAN UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
TAIYUAN UNIV OF TECH
Publication Date
2021-01-05
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a remote sensing image road segmentation method based on context information and an attention mechanism, and belongs to the technical field of remote sensing image road segmentation methods. The technical problem to be solved is to provide an improvement of a remote sensing image road segmentation method based on context information and an attention mechanism. According tothe technical scheme, the method comprises the steps of dividing a remote sensing image data set into a training set and a test set according to a certain proportion; establishing a remote sensing image road segmentation network, wherein the remote sensing image road segmentation network comprises a context information extraction module and an attention module; inputting the preprocessed trainingset data into a remote sensing image road segmentation network, and training the remote sensing image road segmentation network; inputting the test set data into a trained remote sensing image road segmentation network, and outputting an accurate segmentation result of the image road data; the method is applied to image road segmentation.
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Description

Technical field

[0001] The present invention is a remote sensing image road segmentation method based on context information and attention mechanism, belonging to the technical field of remote sensing image road segmentation methods.Background technique

[0002] In recent years, with the continuous increase and improvement of the number and technology of remote sensing satellites launched in the world, the resolution of remote sensing satellite images has also been greatly improved. Therefore, high-resolution remote sensing images have become an important data source for digital image processing. At the same time, high-resolution satellite remote sensing images can provide a wealth of feature information, with fast update speed and high accuracy. Road extraction from remote sensing images has played an important role in urban planning, traffic management, vehicle navigation, map update and other fields, and has become a research hotspot in recent years.

[0003] However, because remote sensin...

Claims

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