Application Of High-Resolution Remote Sensing Images In Road Extraction

DOI

10.2991/aeece-16.2016.71How to use a DOI?

Keywords

high-resolution remote sensing, road extraction, road feature, classification, difficulties

Abstract

High-resolution remote sensing images includes high spectral resolution remote sensing images, high spatial resolution remote sensing images, high temporal resolution remote sensing images and so on. Based on the physical properties and functions, there are six road features: spectral feature, textural feature, geometric feature, topological feature, contextual feature and multi-scale feature, which have more information and research value in high-resolution remote sensing images. Starting from these features, the road extraction methods are analyzed and classified, then, the evaluation method and indicators for road extraction are introduced, the difficulties of road extraction from high-resolution remote sensing images are analyzed, and the trend of the research field is forecast in the end.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Huan Liu
AU  - Zhen Yan
PY  - 2016/07
DA  - 2016/07
TI  - Application Of High-Resolution Remote Sensing Images In Road Extraction
BT  - Proceedings of the 2016 2nd International Conference on Advances in Energy, Environment and Chemical Engineering (AEECE 2016)
PB  - Atlantis Press
SP  - 346
EP  - 352
SN  - 2352-5401
UR  - https://doi.org/10.2991/aeece-16.2016.71
DO  - 10.2991/aeece-16.2016.71
ID  - Liu2016/07
ER  -