Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us
Research Article | Open Access |

Embedded Object Detection with Radar Echo Data by Means of Wavelet Analysis of MRA: Multi-Resolution Analysis

Author 1: Kohei Arai
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 2, No. 9 · Published 2011

DOI: https://doi.org/10.14569/IJACSA.2011.020905

Download PDF Cite Call for Papers

Abstract

A method for embedded object detection with radar echo data by means of wavelet analysis of MRA: Multi-Resolution Analysis, in particular, three dimensional wavelet transformations is proposed. In order to improve embedded object detecting capability, not only one dimensional radar echo data but also three dimensional data are used. Through a comparison between one dimensional edge detection with Sobel operator and three dimensional wavelet transformation based edge detection, it is found that the proposed method is superior to the Sobel operator based method

Keywords

Three dimensional wavelet transformation Radar echo data wavelet MRA Edge detection.

How to Cite this Article

Arai, K. (2011). Embedded Object Detection with Radar Echo Data by Means of Wavelet Analysis of MRA: Multi-Resolution Analysis. International Journal of Advanced Computer Science and Applications, 2(9). https://doi.org/10.14569/IJACSA.2011.020905

Arai, Kohei. "Embedded Object Detection with Radar Echo Data by Means of Wavelet Analysis of MRA: Multi-Resolution Analysis." International Journal of Advanced Computer Science and Applications, vol. 2, no. 9, 2011, https://doi.org/10.14569/IJACSA.2011.020905.

@article{Arai2011,
  title     = {Embedded Object Detection with Radar Echo Data by Means of Wavelet Analysis of MRA: Multi-Resolution Analysis},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {2},
  number    = {9},
  year      = {2011},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJACSA.2011.020905},
  url       = {https://doi.org/10.14569/IJACSA.2011.020905}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Back to Issue
IJACSA Journal Cover

IJACSA