A new optimization approach based on neural architecture search to enhance deep U-Net for efficient road segmentation

Author:

Saeedizadeh NargesORCID,Jalali Seyed Mohammad Jafar,Khan BurhanORCID,Kebria Parham MohsenzadehORCID,Mohamed Shady

Publisher

Elsevier BV

Reference74 articles.

1. Reconstruction bias U-Net for road extraction from optical remote sensing images;Chen;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2021

2. NL-LinkNet: Toward lighter but more accurate road extraction with nonlocal operations;Wang;IEEE Geosci. Remote Sens. Lett.,2021

3. Simultaneous road surface and centerline extraction from large-scale remote sensing images using CNN-based segmentation and tracing;Wei;IEEE Trans. Geosci. Remote Sens.,2020

4. BT-RoadNet: A boundary and topologically-aware neural network for road extraction from high-resolution remote sensing imagery;Zhou;ISPRS J. Photogramm. Remote Sens.,2020

5. Deep TEC: Deep transfer learning with ensemble classifier for road extraction from UAV imagery;Senthilnath;Remote Sens.,2020

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