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Tomographic airborne ground penetrating radar imaging: Achievable spatial resolution and on-field assessment
- Source :
- ISPRS journal of photogrammetry and remote sensing 92 (2014): 69–78. doi:10.1016/j.isprsjprs.2014.01.011, info:cnr-pdr/source/autori:Catapano, Ilaria; Crocco, Lorenzo; Krellmann, Yvonne; Triltzsch, Gunnar; Soldovieri, Francesco F./titolo:Tomographic airborne ground penetrating radar imaging: Achievable spatial resolution and on-field assessment/doi:10.1016%2Fj.isprsjprs.2014.01.011/rivista:ISPRS journal of photogrammetry and remote sensing/anno:2014/pagina_da:69/pagina_a:78/intervallo_pagine:69–78/volume:92
- Publication Year :
- 2014
- Publisher :
- Elsevier BV, 2014.
-
Abstract
- Ground Penetrating Radar (GPR) airborne systems are gaining an increasing attention as effective monitoring tools capable of underground investigation of wide areas. With respect to this frame, the paper deals with a reconstruction approach specifically designed to image buried targets from airborne gathered scattered field data. The role of the measurement configuration is investigated in order to address the practical problem of how multi-monostatic and multi-frequency data should be gathered, in terms of synthetic aperture length and frequency range, and how the available data affect the achievable reconstruction capabilities. Such an analysis allows us to evaluate the performance of the reconstruction approach in terms of transversal and depth resolution limits. Finally, an experimental validation of the approach is performed by processing real data. © 2014.
- Subjects :
- Synthetic aperture radar
Computer science
Inverse scattering
Microwave tomography
Field assessment
Resolution (electron density)
Frame (networking)
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Atomic and Molecular Physics, and Optics
Computer Science Applications
Ground-penetrating radar
Inverse scattering problem
Range (statistics)
Airborne GPR
Computers in Earth Sciences
Engineering (miscellaneous)
Image resolution
Remote sensing
Subjects
Details
- ISSN :
- 09242716
- Volume :
- 92
- Database :
- OpenAIRE
- Journal :
- ISPRS Journal of Photogrammetry and Remote Sensing
- Accession number :
- edsair.doi.dedup.....fb73844c3aa4800c989b0f4b5642e627
- Full Text :
- https://doi.org/10.1016/j.isprsjprs.2014.01.011