Large-scale integration of remotely sensed and GIS road networks: A full image-vector conflation approach based on optimization and deep learning

Author:

Lei Zhen,Lei Ting L.

Funder

National Science Foundation

NSF

NSFC

Publisher

Elsevier BV

Reference50 articles.

1. Deep learning approaches applied to remote sensing datasets for road extraction: A state-of-the-art review;Abdollahi;Remote Sensing,2020

2. Road extraction from high-resolution orthophoto images using convolutional neural network;Abdollahi;Journal of the Indian Society of Remote Sensing,2020

3. Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks;Alshehhi;ISPRS Journal of Photogrammetry and Remote Sensing,2017

4. Single-shot end-to-end road graph extraction;Bahl,2022

5. RoadTracer: Automatic extraction of road networks from aerial images;Bastani;IEEE/CVF conference on computer vision and pattern recognition,2018

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