Proceedings of SPIE - The International Society for Optical Engineering
Processing of Synthetic Aperture Radar (SAR) data can be implemented either in space domain or in... more Processing of Synthetic Aperture Radar (SAR) data can be implemented either in space domain or in transformed (spatial) frequency domain. The latter is the usual technique, due to availability of Fast Fourier Transform codes. However, for one bit coded signals direct space domain ...
The problem of detecting and locating multiple scatterers in multibaseline Synthetic Aperture Rad... more The problem of detecting and locating multiple scatterers in multibaseline Synthetic Aperture Radar (SAR) tomography, starting from compressive measurements and applying support detection techniques, is addressed. Different approaches based on the detection of the support set of the unknown sparse vector, that is, of the position of the nonzero elements in the unknown sparse vector, are analyzed. Support detection techniques have already proved to allow a reduction in the number of measurements required for obtaining a reliable solution. In this paper, a support detection method, based on a Generalized Likelihood Ratio Test (Sup-GLRT), is proposed and compared with the SequOMP method, in terms of probability of detection achievable with a given probability of false alarm and for different numbers of measurements.
Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96), 1996
1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications, 1995
The present communication is concerned about the use of synthetic aperture radar (SAR) images obt... more The present communication is concerned about the use of synthetic aperture radar (SAR) images obtained by processing raw data and reference function both quantized at one bit (Signum Coding) for topographic mapping in interferometric SAR processing. In particular it is shown that in an actual cases relative to a spaceborne (ERS-1) missions, this technique provides two dimensional phases patterns (before and after phase unwrapping) very close to the ones obtained by using conventionally processed images
Proceedings of International Conference on Image Processing, 1997
Processing of one bit coded synthetic aperture radar (SAR) signals is considered. One bit coding ... more Processing of one bit coded synthetic aperture radar (SAR) signals is considered. One bit coding amounts to retaining only the information about the sign of the signals (signum coding or SC). Theory shows that the image obtained is proportional to that obtained by conventionally quantized data. Possible discrepancies depends on the frequency overlapping among the higher order harmonics generated by the SC operation. To improve the image quality, a sampling rate increase with respect to one consistent with the original signal bandwidth has to be used. Some image quality parameters are also evaluated on actual SAR images
A vector computer implementation of a wide-angle Synthetic Aperture Radar processor is presented.... more A vector computer implementation of a wide-angle Synthetic Aperture Radar processor is presented. The choice of this architecture is convenient in as much Fast Fourier Transform codes and matrix multiplications can be efficiently implemented. Experiments and performance data of the processor are presented.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014
ABSTRACT The 3-D SAR tomographic technique based on compressive sampling (CS) has been proven ver... more ABSTRACT The 3-D SAR tomographic technique based on compressive sampling (CS) has been proven very performing in recovering the 3-D reflectivity function and hence in estimating multiple scatterers lying in the same range-azimuth resolution cell, but at different elevations. In this paper, a detection method for multiple scatterers, assuming the number of scatterers to be known or preliminarily estimated, has been investigated. The performance of CS processing for identifying and locating multiple scatterers has been analyzed for different number of measurements and different reciprocal distances between the scatterers, in presence of the off-grid effect, and in the case of super-resolution imaging. The proposed method has been tested on simulated and real COSMO-SkyMed data.
Proceedings of SPIE - The International Society for Optical Engineering
Processing of Synthetic Aperture Radar (SAR) data can be implemented either in space domain or in... more Processing of Synthetic Aperture Radar (SAR) data can be implemented either in space domain or in transformed (spatial) frequency domain. The latter is the usual technique, due to availability of Fast Fourier Transform codes. However, for one bit coded signals direct space domain ...
The problem of detecting and locating multiple scatterers in multibaseline Synthetic Aperture Rad... more The problem of detecting and locating multiple scatterers in multibaseline Synthetic Aperture Radar (SAR) tomography, starting from compressive measurements and applying support detection techniques, is addressed. Different approaches based on the detection of the support set of the unknown sparse vector, that is, of the position of the nonzero elements in the unknown sparse vector, are analyzed. Support detection techniques have already proved to allow a reduction in the number of measurements required for obtaining a reliable solution. In this paper, a support detection method, based on a Generalized Likelihood Ratio Test (Sup-GLRT), is proposed and compared with the SequOMP method, in terms of probability of detection achievable with a given probability of false alarm and for different numbers of measurements.
Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96), 1996
1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications, 1995
The present communication is concerned about the use of synthetic aperture radar (SAR) images obt... more The present communication is concerned about the use of synthetic aperture radar (SAR) images obtained by processing raw data and reference function both quantized at one bit (Signum Coding) for topographic mapping in interferometric SAR processing. In particular it is shown that in an actual cases relative to a spaceborne (ERS-1) missions, this technique provides two dimensional phases patterns (before and after phase unwrapping) very close to the ones obtained by using conventionally processed images
Proceedings of International Conference on Image Processing, 1997
Processing of one bit coded synthetic aperture radar (SAR) signals is considered. One bit coding ... more Processing of one bit coded synthetic aperture radar (SAR) signals is considered. One bit coding amounts to retaining only the information about the sign of the signals (signum coding or SC). Theory shows that the image obtained is proportional to that obtained by conventionally quantized data. Possible discrepancies depends on the frequency overlapping among the higher order harmonics generated by the SC operation. To improve the image quality, a sampling rate increase with respect to one consistent with the original signal bandwidth has to be used. Some image quality parameters are also evaluated on actual SAR images
A vector computer implementation of a wide-angle Synthetic Aperture Radar processor is presented.... more A vector computer implementation of a wide-angle Synthetic Aperture Radar processor is presented. The choice of this architecture is convenient in as much Fast Fourier Transform codes and matrix multiplications can be efficiently implemented. Experiments and performance data of the processor are presented.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014
ABSTRACT The 3-D SAR tomographic technique based on compressive sampling (CS) has been proven ver... more ABSTRACT The 3-D SAR tomographic technique based on compressive sampling (CS) has been proven very performing in recovering the 3-D reflectivity function and hence in estimating multiple scatterers lying in the same range-azimuth resolution cell, but at different elevations. In this paper, a detection method for multiple scatterers, assuming the number of scatterers to be known or preliminarily estimated, has been investigated. The performance of CS processing for identifying and locating multiple scatterers has been analyzed for different number of measurements and different reciprocal distances between the scatterers, in presence of the off-grid effect, and in the case of super-resolution imaging. The proposed method has been tested on simulated and real COSMO-SkyMed data.
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Papers by Gilda Schirinzi