JOURNAL ARTICLE

Automatic road network extraction from multispectral satellite images

Abstract

The aim of this study is to develop an automatic road extraction algorithm for satellite images. In the road network extraction algorithm, edge detection, segmentation analysis, clustering, vegetation analysis is used. Morphological operations are used in post-processing. Quantitative and visually presented results show that the proposed method is effective for main-road extraction. © 2012 IEEE.

Keywords:
Computer science Multispectral image Extraction (chemistry) Artificial intelligence Satellite Cluster analysis Segmentation Computer vision Image segmentation Feature extraction Edge detection Remote sensing Pattern recognition (psychology) Image processing Image (mathematics) Geography Engineering

Metrics

6
Cited By
1.76
FWCI (Field Weighted Citation Impact)
18
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Automated Road and Building Extraction
Physical Sciences →  Engineering →  Ocean Engineering
Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering
Remote-Sensing Image Classification
Physical Sciences →  Engineering →  Media Technology

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