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Automatic Road Extraction from Semi Urban Remote Sensing Images

  • Pramod Kumar SoniEmail author
  • Navin Rajpal
  • Rajesh Mehta
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 922)

Abstract

Automatic road extraction from high resolution remote sensing (RS) satellite images of urban and semi-urban area is most challenging research area in recent years. In this work, a simple and elegant method of automatic road network extraction based on intensity thresholding and various morphological operations is proposed. The semi-urban remote sensing images contain various non-road elements (building structures, vegetative areas, parking and others) to identify the road in presence of such noise from RS images, the image is preprocessed to curtail the noise and road network is extracted by the proposed methods are the largest connected component and the road centerlines are detected by using thinning operation. The proposed technique is implemented on different RS images of semi urban area, experimental results are provided in this work and it can be seen that the road network is clearly traceable in finally processed image. The experimental results are evaluated by comparing ground road map data as reference and various quantitative measures like correctness, specificity, sensitivity, completeness and quality. Experimental results can be used in automated map analysis that has a very vast range of applications in the area of computer vision and navigation. The road network can also be extracted in many non-automated or semi-automated ways but these are prone to errors and need human intervene due to these reasons an automated system is required for the extraction of road from RS images.

Keywords

Road extraction Thresholding Mathematical morphology 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Pramod Kumar Soni
    • 1
    Email author
  • Navin Rajpal
    • 1
  • Rajesh Mehta
    • 2
  1. 1.USICT, Guru Gobind Singh Indraprastha UniversityDwarkaIndia
  2. 2.CSED, Thapar Institute of Engineering and TechnologyPatialaIndia

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