This website uses cookies.
We use cookies to improve your online experience. By continuing to use our website we assume you agree to the placement of these cookies.
To learn more, you can find in our Privacy Policy.
Review paper

Road Extraction Methods in High-Resolution Remote Sensing Images: A Comprehensive Review

Volume: 13, Pages: 5489 - 5507
Published: Jan 1, 2020
Abstract
Road extraction from high-resolution remote sensing images is a challenging but hot research topic in the past decades. A large number of methods are invented to deal with this problem. This article provides a comprehensive review of these existing approaches. We classified the methods into heuristic and data-driven. The heuristic methods are the mainstream in the early years, and the data-driven methods based on deep learning have been quickly...
Paper Details
Title
Road Extraction Methods in High-Resolution Remote Sensing Images: A Comprehensive Review
Published Date
Jan 1, 2020
Volume
13
Pages
5489 - 5507
© 2025 Pluto Labs All rights reserved.
Step 1. Scroll down for details & analytics related to the paper.
Discover a range of citation analytics, paper references, a list of cited papers, and more.