Research on Road Extraction From High-Resolution Remote Sensing Images Based on Improved UNet++

Research on Road Extraction From High-Resolution Remote Sensing Images Based on Improved UNet++

To address the challenges of road extraction in high-resolution remote sensing images, this paper presents an enhanced UNet++ road extraction method that incorporates CBAM. The original UNet++ network is referenced, and the loss function is improved by introducing a new joint loss function. The enha...

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Bibliographic Details
Main Authors: Ke Li, Ming Tan, Dexun Xiao, Tiantian Yu, Yanfeng Li, Ji Li
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
High resolution remote sensing image (HRSI)
road extraction
UNet++
CBAM
loss function
Online Access:https://ieeexplore.ieee.org/document/10493023/

Internet

https://ieeexplore.ieee.org/document/10493023/

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