Biondi, F.; Malanga, C. Synthetic Aperture Radar Doppler Tomography Reveals Details of Undiscovered High-Resolution Internal Structure of the Great Pyramid of Giza. Remote Sensing 2022, 14, 5231, doi:10.3390/rs14205231.
Biondi, F.; Malanga, C. Synthetic Aperture Radar Doppler Tomography Reveals Details of Undiscovered High-Resolution Internal Structure of the Great Pyramid of Giza. Remote Sensing 2022, 14, 5231, doi:10.3390/rs14205231.
Biondi, F.; Malanga, C. Synthetic Aperture Radar Doppler Tomography Reveals Details of Undiscovered High-Resolution Internal Structure of the Great Pyramid of Giza. Remote Sensing 2022, 14, 5231, doi:10.3390/rs14205231.
Biondi, F.; Malanga, C. Synthetic Aperture Radar Doppler Tomography Reveals Details of Undiscovered High-Resolution Internal Structure of the Great Pyramid of Giza. Remote Sensing 2022, 14, 5231, doi:10.3390/rs14205231.
Abstract
A problem with synthetic aperture radar (SAR) is that, due to the poor penetrating action of electromagnetic waves inside solid bodies, the capability to observe inside distributed targets is precluded. Under these conditions, imaging action is provided only on the surface of distributed targets. The present work describes an imaging method based on the analysis of micro-movements on the Khnum-Khufu Pyramid, which are usually generated by background seismic waves. The results obtained prove to be very promising, as high-resolution full 3D tomographic imaging of the pyramid's interior and subsurface was achieved. Khnum-Khufu becomes transparent like a crystal when observed in the micro-movement domain. Based on this novelty, we have completely reconstructed internal objects, observing and measuring structures that have never been discovered before. The experimental results are estimated by processing series of SAR images from the second-generation Italian COSMO-SkyMed satellite system, demonstrating the effectiveness of the proposed method.
Keywords
Synthetic Aperture Radar; Doppler frequencies; multi-chromatic analysis; micro-motion; Pyramid of Khnum-Khufu; sonic images
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
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