The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
B.l. Douglas - One of the best experts on this subject based on the ideXlab platform.
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Synthetic Aperture sonar imaging with a multiple element receiver array
International Conference on Acoustics Speech and Signal Processing, 1993Co-Authors: B.l. DouglasAbstract:The application of Synthetic Aperture techniques in sonar imaging of the ocean floor has been limited by sonar platform instability. The authors present a robust algorithm for motion estimation and compensation to perform Synthetic Aperture image formation. First, the algorithm uses the acoustic returns from a receiver array to form a complex-valued physical-Aperture image for each transmit burst. Perturbations of the sonar platform velocity or attitude manifest themselves as registration errors and phase errors between successive images. The registration errors are estimated by cross-correlation-based techniques, and the images are aligned spatially. The phase errors are then removed. Finally, after phase correction, the registered images are coherently superimposed to form a high-resolution Synthetic Aperture sonar image. Results of experiments at sea with a prototype Synthetic Aperture sonar system are presented. A small point reflector on a sandy bottom at 70 m range was imaged using a 400 wavelength physical Aperture and the Synthetic Aperture technique to compare the performance in detecting small targets near the maximum operating range of the sonar. The Synthetic Aperture image exhibits superior cross-range resolution and higher signal-to-noise ratio compared with the conventional techniques. >
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Synthetic Aperture active sonar imaging
[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics Speech and Signal Processing, 1992Co-Authors: B.l. DouglasAbstract:The main problems involved in Synthetic Aperture sonar imaging are medium instability, slow mapping rate, and platform motion. Proposed solutions to these problems are reviewed, and a new technique for Synthetic Aperture sonar imaging is presented which allows a fast mapping rate and improved motion compensation. This technique involves using multiple receivers to form a complex-valued preliminary image for each pulse. The preliminary images are used to estimate translation and rotation, and then they are registered, phase corrected, and superimposed to form high-resolution Synthetic Aperture sonar images. >
Andrew M Weiner - One of the best experts on this subject based on the ideXlab platform.
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optical phase imaging using a Synthetic Aperture phase retrieval technique
Conference on Lasers and Electro-Optics, 2014Co-Authors: Dennis J Lee, Andrew M WeinerAbstract:We perform quantitative phase imaging using phase retrieval to implement Synthetic Aperture imaging. Compared to digital holography, the developed technique is simpler, less expensive, and more stable.
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optical phase imaging using a Synthetic Aperture phase retrieval technique
Optics Express, 2014Co-Authors: Dennis J Lee, Andrew M WeinerAbstract:Optical phase imaging enables visualization of transparent samples, numerical refocusing, and other computational processing. Typically phase is measured quantitatively using interferometric techniques such as digital holography. Researchers have demonstrated image enhancement by Synthetic Aperture imaging based on digital holography. In this work we introduce a novel imaging technique that implements Synthetic Aperture imaging using phase retrieval, a non-interferometric technique. Unlike digital holography, phase retrieval obviates the need for a reference arm and provides a more compact, less expensive, and more stable experimental setup. We call this technique Synthetic Aperture phase retrieval.
Richard M. Goldstein - One of the best experts on this subject based on the ideXlab platform.
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Synthetic Aperture radar interferometry
Proceedings of the IEEE, 2000Co-Authors: P A Rosen, Scott Hensley, Ian Joughin, F K Li, S N Madsen, Ernesto Rodriguez, Richard M. GoldsteinAbstract:Synthetic Aperture radar interferometry is an imaging technique for measuring the topography of a surface, its changes over time, and other changes in the detailed characteristic of the surface. By exploiting the phase of the coherent radar signal, interferometry has transformed radar remote sensing from a largely interpretive science to a quantitative tool, with applications in cartography, geodesy, land cover characterization, and natural hazards. This paper reviews the techniques of interferometry, systems and limitations, and applications in a rapidly growing area of science and engineering.
Dennis J Lee - One of the best experts on this subject based on the ideXlab platform.
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optical phase imaging using a Synthetic Aperture phase retrieval technique
Conference on Lasers and Electro-Optics, 2014Co-Authors: Dennis J Lee, Andrew M WeinerAbstract:We perform quantitative phase imaging using phase retrieval to implement Synthetic Aperture imaging. Compared to digital holography, the developed technique is simpler, less expensive, and more stable.
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optical phase imaging using a Synthetic Aperture phase retrieval technique
Optics Express, 2014Co-Authors: Dennis J Lee, Andrew M WeinerAbstract:Optical phase imaging enables visualization of transparent samples, numerical refocusing, and other computational processing. Typically phase is measured quantitatively using interferometric techniques such as digital holography. Researchers have demonstrated image enhancement by Synthetic Aperture imaging based on digital holography. In this work we introduce a novel imaging technique that implements Synthetic Aperture imaging using phase retrieval, a non-interferometric technique. Unlike digital holography, phase retrieval obviates the need for a reference arm and provides a more compact, less expensive, and more stable experimental setup. We call this technique Synthetic Aperture phase retrieval.
Yabo Liu - One of the best experts on this subject based on the ideXlab platform.
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bayesian inverse Synthetic Aperture radar imaging
IEEE Geoscience and Remote Sensing Letters, 2011Co-Authors: Mengdao Xing, Lei Zhang, Yabo LiuAbstract:In this letter, a novel algorithm of inverse Synthetic Aperture radar (ISAR) imaging based on Bayesian estimation is proposed, wherein the ISAR imaging joint with phase adjustment is mathematically transferred into signal reconstruction via maximum a posteriori estimation. In the scheme, phase errors are treated as model errors and are overcome in the sparsity-driven optimization regardless of the formats, while data-driven estimation of the statistical parameters for both noise and target is developed, which guarantees the high precision of image generation. Meanwhile, the fast Fourier transform is utilized to implement the solution to image formation, promoting its efficiency effectively. Due to the high denoising capability of the proposed algorithm, high-quality image also could be achieved even under strong noise. The experimental results using simulated and measured data confirm the validity.
