Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/80001
Title: Road extraction from VHR remote-sensing imagery via object segmentation constrained by gabor features
Authors: Chen, L
Zhu, Q
Xie, X
Hu, H 
Zeng, H
Keywords: Edge constraints
Gabor features
Object segmentation
Region growing
Road extraction
Shape features
Issue Date: 2018
Publisher: Molecular Diversity Preservation International (MDPI)
Source: ISPRS international journal of geo-information, 2018, v. 7, no. 9, 362, p. 1-21 How to cite?
Journal: ISPRS international journal of geo-information 
Abstract: Automatic road extraction from remote-sensing imagery plays an important role in many applications. However, accurate and efficient extraction from very high-resolution (VHR) images remains difficult because of, for example, increased data size and superfluous details, the spatial and spectral diversity of road targets, disturbances (e.g., vehicles, shadows of trees, and buildings), the necessity of finding weak road edges while avoiding noise, and the fast-acquisition requirement of road information for crisis response. To solve these difficulties, a two-stage method combining edge information and region characteristics is presented. In the first stage, convolutions are executed by applying Gabor wavelets in the best scale to detect Gabor features with location and orientation information. The features are then merged into one response map for connection analysis. In the second stage, highly complete, connected Gabor features are used as edge constraints to facilitate stable object segmentation and limit region growing. Finally, segmented objects are evaluated by some fundamental shape features to eliminate nonroad objects. The results indicate the validity and superiority of the proposed method to efficiently extract accurate road targets from VHR remote-sensing images.
URI: http://hdl.handle.net/10397/80001
EISSN: 2220-9964
DOI: 10.3390/ijgi7090362
Rights: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
The following publication Chen, L., Zhu, Q., Xie, X., Hu, H., & Zeng, H. (2018). Road extraction from VHR remote-sensing imagery via object segmentation constrained by gabor features. ISPRS international journal of geo-information, 7(9), 362, 1-21 is available at https://dx.doi.org/10.3390/ijgi7090362
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