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3D Reconstruction Methods from Multi-aspect TomoSAR Method: A Survey

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Robotics, Control and Computer Vision

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1009))

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Abstract

This paper presents an investigation into the existing literature on the reconstruction of TomoSAR buildings and the 3D cloud TomoSAR point. Synthetic aperture radar tomography (TomoSAR) was widely used for urban buildings and a three- dimensional reconstruction of (3D). A tomograph image is filled with significant noise and fake targets. These TomoSAR point clouds mean a dataset that represent an object extracted from unwanted noise and a fake target to reconstruct a 3D model. This paper is for anyone who has recently worked in TomoSAR 3D building reconstruction and wants to grasp a lot of information regarding point cloud extraction. This paper reviews and assesses the various techniques for reconstructing 3D building TomoSAR point clouds.

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Author information

Authors and Affiliations

  1. School of Electronics Engineering, KIIT-Deemed to be University, Bhubaneswar, Odisha, India

    Nazia Akhtar & Arindam Basak

  2. Department of Mining Engineering, Indian Institute of Technology, Kharagpur, West Bengal, India

    Tamesh Haldar & Debashish Chakravarty

  3. Space Application Center, ISRO, Ahmedabad, India

    Arundhati Misra Ray

Authors
  1. Nazia Akhtar
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  2. Tamesh Haldar
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  3. Arindam Basak
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  4. Arundhati Misra Ray
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  5. Debashish Chakravarty
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Corresponding authors

Correspondence to Tamesh Haldar or Arindam Basak .

Editor information

Editors and Affiliations

  1. National Institute of Technology Uttarakhand, Srinagar, India

    Hariharan Muthusamy

  2. Eötvös Loránd University, Budapest, Hungary

    János Botzheim

  3. Queensland University of Technology, Brisbane, QLD, Australia

    Richi Nayak

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Akhtar, N., Haldar, T., Basak, A., Ray, A.M., Chakravarty, D. (2023). 3D Reconstruction Methods from Multi-aspect TomoSAR Method: A Survey. In: Muthusamy, H., Botzheim, J., Nayak, R. (eds) Robotics, Control and Computer Vision. Lecture Notes in Electrical Engineering, vol 1009. Springer, Singapore. https://doi.org/10.1007/978-981-99-0236-1_39

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