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
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