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Automatic Geospatial Objects Classification from Satellite Images

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Emerging Technologies in Data Mining and Information Security

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 813))

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Abstract

LiDAR data has several advantages for classification of objects from satellite images. LiDAR data acquisition occurs in 24 h which contains height information of the objects. The morphological are used for extracting image features. As urban object detection is more difficult for shadow, bushes shrubs mixed with huts. This method gives an automatic approach for classification of the object from satellite images. It also presents an automatic approach for extraction of roads, vegetation with higher indexed and lowers indexed from the point clouds of LiDAR data. In the first step point Clouds from LiDAR data are preprocessed and then digital elevation model (DEM) are generated from that particular location. Then we have Created AOI using the normalized difference between DEM and DTM. Finally, the pixels of different objects are classified using spatial model. The experimental results are very promising. To identify terrain and non-terrain points from the raw LiDAR data an automated filtering algorithm is developed with the classification.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Dream Institute of Technology, Kolkata, India

    Shariar Rahaman & Chinmaya Kumar Pradhan

  2. Department of Electronics and Communication Engineering, Aliah University, Kolkata, India

    Md. Abdul Alim Sheikh

  3. Department of Electrical Engineering, RCC Institute of Information Technology, Kolkata, India

    Alok Kole

  4. Department of Mining Machinery Engineering, Indian Institute of Technology (ISM) Dhanbad, Dhanbad, India

    Tanmoy Maity

Authors
  1. Shariar Rahaman
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  2. Md. Abdul Alim Sheikh
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  3. Alok Kole
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  4. Tanmoy Maity
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  5. Chinmaya Kumar Pradhan
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Corresponding authors

Correspondence to Shariar Rahaman , Md. Abdul Alim Sheikh or Chinmaya Kumar Pradhan .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, WA, USA

    Ajith Abraham

  2. Department of Computer and System Sciences, Visva-Bharati University, Santiniketan, West Bengal, India

    Paramartha Dutta

  3. Department of Computer Science and Engineering, University of Kalyani, Kalyani, India

    Jyotsna Kumar Mandal

  4. Institute of Engineering and Management, Kolkata, West Bengal, India

    Abhishek Bhattacharya

  5. Institute of Engineering and Management, Kolkata, West Bengal, India

    Soumi Dutta

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Rahaman, S., Abdul Alim Sheikh, M., Kole, A., Maity, T., Pradhan, C.K. (2019). Automatic Geospatial Objects Classification from Satellite Images. In: Abraham, A., Dutta, P., Mandal, J., Bhattacharya, A., Dutta, S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 813. Springer, Singapore. https://doi.org/10.1007/978-981-13-1498-8_10

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