Entropy Based Target Identification in Synthetic Aperture Radar Polarimetry
Plasin Francis Dias1, R. M. Banakar2
1Plasin Francis Dias, Department of Electronics and Communication Engineering, KLS VDIT, Haliyal (Karnataka), India.
2R. M. Banakar, Department of Electronics and Communication Engineering, BVBCET, Hubli (Karnataka), India.
Manuscript received on 16 December 2019 | Revised Manuscript received on 23 December 2019 | Manuscript Published on 31 December 2019 | PP: 274-279 | Volume-9 Issue-1S3 December 2019 | Retrieval Number: A10521291S319/19©BEIESP | DOI: 10.35940/ijeat.A1052.1291S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Synthetic aperture radar is used for polarimetric target identification. It is most prominent imaging radar. This radar covers the widest ranges of earth crust with high resolution images. It captures images day and night. It is suitable for any seasonal weather conditions. The polarization data contains information, on scattering mechanism related to different objects. The objects are land, ocean, glaceries, snow and dense forest which are natural distributed targets. By the use of scattering mechanism the different objects are classified. Scattering mechanism is measured by scattering elements of the matrix. The full polarization of synthetic aperture radar data classifies the obtained image. This paper analyses an entropy based target identification related to synthetic aperture radar polarimetry. The method is also the outcome of Eigen decomposition analysis. The paper also gives broader view of identification of target using physical property and analytical model. The method is helpful for system level design and scattering process considerations.
Keywords: Synthetic Aperture Radar, Polarimetry, Eigen, Decomposition, Entropy, Coherency Matrix.
Scope of the Article: Radar and Satellite