DPSDA-Net: Dual-Path Convolutional Neural Network with Strip Dilated Attention Module for Road Extraction from High-Resolution Remote Sensing Images

DPSDA-Net: Dual-Path Convolutional Neural Network with Strip Dilated Attention Module for Road Extraction from High-Resolution Remote Sensing Images

Roads extracted from high-resolution remote sensing images are widely used in many fields, such as autonomous driving, road planning, disaster relief, etc. However, road extraction from high-resolution remote sensing images has certain deficiencies in connectivity and completeness due to obstruction...

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Bibliographic Details
Main Authors: Like Zhao, Linfeng Ye, Mi Zhang, Huawei Jiang, Zhen Yang, Mingwang Yang
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
road extraction
occlusion of objects
strip convolution
position attention
dilated convolution
Online Access:https://www.mdpi.com/2072-4292/15/15/3741

Internet

https://www.mdpi.com/2072-4292/15/15/3741

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