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Robust and Reliable Technique of Automatic Building Extraction from High Resolution Imagery

  • Arvind PandeyEmail author
  • Mriganka Shekhar Sarkar
  • Gajendra Singh
  • Sarita Palni
  • Nisha Chand
  • Manish Kumar
Chapter
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Part of the Advances in Geographical and Environmental Sciences book series (AGES)

Abstract

The automation in man-made object extraction such as building habitation from urban area imagery has become a challenging task for photogrammetry, computer vision, and remote sensing. This study aims to automatically extract building of an urban area using high resolution intensity data and fuzzy membership logic to classify the image object by using e-Cognition software. The object oriented method was implemented and high resolution Quick-Bird imagery was used for automatic building extraction in Dehradun city of Uttarakhand district, India. We have further evaluated the performance of this automated extracted building feature by using accuracy completeness (89.74%), correctness (94.50%), and the quality (85.29%). The study however, clearly shows that the segmentation-based classification is much superior to the traditional per-pixel methods mainly used on high resolution images. It also shows that high spatial resolution satellite data and appropriate data processing play not only an important role in modern urban planning but also reduce the cost of manpower and saves time.

Keywords

e-cognition Automatic building extraction Fuzzy logic Photogrammetry 

Notes

Acknowledgements

The authors would like to thank Dr. Durgesh Panth, Director of Uttarakhand Space Application Center (USAC), Uttarakhand for providing funds to carry out this short-term research. We thank Mr. Shashank Lingwal, Scientist, USAC for providing support during this study.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Arvind Pandey
    • 1
    Email author
  • Mriganka Shekhar Sarkar
    • 1
  • Gajendra Singh
    • 1
  • Sarita Palni
    • 2
  • Nisha Chand
    • 2
  • Manish Kumar
    • 3
  1. 1.Uttarakhand Space Application CenterDehradunIndia
  2. 2.Kumaun UniversityNainitalIndia
  3. 3.Department of Geography, Kalindi CollegeUniversity of DelhiNew DelhiIndia

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