High-resolution remote sensing image road extraction method based on deformable attention mechanism
The invention provides a high-resolution remote sensing image road extraction method based on a deformable attention mechanism, and solves the problems of low complex road extraction accuracy and narrow application range in the field of high-resolution remote sensing. The method comprises the follow...
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Main Authors | , , |
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Format | Patent |
Language | Chinese English |
Published |
24.05.2024
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Subjects | |
Online Access | Get full text |
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Summary: | The invention provides a high-resolution remote sensing image road extraction method based on a deformable attention mechanism, and solves the problems of low complex road extraction accuracy and narrow application range in the field of high-resolution remote sensing. The method comprises the following implementation steps of: performing data enhancement on an existing high-resolution remote sensing image data set by using a sliding window, horizontal overturning and vertical overturning operations; forming a road enhancement module by utilizing one-dimensional convolution in four directions (horizontal, vertical, left diagonal and right diagonal); learning of deformable offset in the self-attention mechanism is constrained by using a 1 * 1 convolution module, and a deformable attention module is formed to automatically adapt to geometric transformation of a road; a road enhancement module and a deformable attention module are embedded between an encoder taking ResNet50 as a basic framework and a bilinear int |
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Bibliography: | Application Number: CN202211469934 |