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Automatic Road Extraction from Semi Urban Remote Sensing Images

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Next Generation Computing Technologies on Computational Intelligence (NGCT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 922))

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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.

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Author information

Authors and Affiliations

  1. USICT, Guru Gobind Singh Indraprastha University, Dwarka, New Delhi, India

    Pramod Kumar Soni & Navin Rajpal

  2. CSED, Thapar Institute of Engineering and Technology, Patiala, Punjab, India

    Rajesh Mehta

Authors
  1. Pramod Kumar Soni
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  2. Navin Rajpal
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  3. Rajesh Mehta
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Corresponding author

Correspondence to Pramod Kumar Soni .

Editor information

Editors and Affiliations

  1. University of Petroleum and Energy Studies, Dehradun, India

    Manish Prateek

  2. University of Petroleum and Energy Studies, Dehradun, India

    Durgansh Sharma

  3. University of Petroleum and Energy Studies, Dehradun, India

    Rajeev Tiwari

  4. University of Petroleum and Energy Studies, Dehradun, India

    Rashmi Sharma

  5. National Institute of Technology, Srinagar, Uttrakhand, India

    Kamal Kumar

  6. Thapar University, Patiala, India

    Neeraj Kumar

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Soni, P.K., Rajpal, N., Mehta, R. (2019). Automatic Road Extraction from Semi Urban Remote Sensing Images. In: Prateek, M., Sharma, D., Tiwari, R., Sharma, R., Kumar, K., Kumar, N. (eds) Next Generation Computing Technologies on Computational Intelligence. NGCT 2018. Communications in Computer and Information Science, vol 922. Springer, Singapore. https://doi.org/10.1007/978-981-15-1718-1_15

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  • DOI: https://doi.org/10.1007/978-981-15-1718-1_15

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  • Print ISBN: 978-981-15-1717-4

  • Online ISBN: 978-981-15-1718-1

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