Brightness Temperature Map Reconstruction from Dual-Polarimetric Visibilities in Synthetic Aperture Imaging Radiometry

2008 ◽  
Vol 46 (3) ◽  
pp. 606-612 ◽  
Author(s):  
Eric Anterrieu ◽  
Ali Khazaal
Keyword(s):  
Brightness Temperature ◽  
Synthetic Aperture ◽  
Synthetic Aperture Imaging

scholarly journals Multi-Parameter Regularization Method for Synthetic Aperture Imaging Radiometers

2021 ◽  
Vol 13 (3) ◽  
pp. 382
Author(s):  
Xiaocheng Yang ◽  
Zhenyi Yang ◽  
Jingye Yan ◽  
Lin Wu ◽  
Mingfeng Jiang
Keyword(s):  
Temperature Distribution ◽  
Brightness Temperature ◽  
Regularization Method ◽  
Noise Suppression ◽  
Synthetic Aperture ◽  
Regularization Methods ◽  
Synthetic Aperture Imaging ◽  
Original Distribution ◽  
Band Limited ◽  
Parameter Regularization

Synthetic aperture imaging radiometers (SAIRs) are powerful passive microwave systems for high-resolution imaging by use of synthetic aperture technique. However, the ill-posed inverse problem for SAIRs makes it difficult to reconstruct the high-precision brightness temperature map. The traditional regularization methods add a unique penalty to all the frequency bands of the solution, which may cause the reconstructed result to be too smooth to retain certain features of the original brightness temperature map such as the edge information. In this paper, a multi-parameter regularization method is proposed to reconstruct SAIR brightness temperature distribution. Different from classical single-parameter regularization, the multi-parameter regularization adds multiple different penalties which can exhibit multi-scale characteristics of the original distribution. Multiple regularization parameters are selected by use of the simplified multi-dimensional generalized cross-validation method. The experimental results show that, compared with the conventional total variation, Tikhonov, and band-limited regularization methods, the multi-parameter regularization method can retain more detailed information and better improve the accuracy of the reconstructed brightness temperature distribution, and exhibit superior noise suppression, demonstrating the effectiveness and the robustness of the proposed method.

Golay Coded Sequences in Synthetic Aperture Imaging Systems

2011 ◽  
Vol 36 (4) ◽  
Author(s):  
Ihor Trots ◽  
Yuriy Tasinkevych ◽  
Andrzej Nowicki ◽  
Marcin Lewandowski
Keyword(s):  
Imaging Systems ◽  
Synthetic Aperture ◽  
Synthetic Aperture Imaging

scholarly journals Synthetic Aperture Imaging Using High-Frequency Convex Array for Ophthalmic Ultrasound Applications

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2275
Author(s):  
Hae Gyun Lim ◽  
Hyung Ham Kim ◽  
Changhan Yoon
Keyword(s):  
Image Quality ◽  
Penetration Depth ◽  
Spatial Resolution ◽  
High Frequency ◽  
Imaging System ◽  
Ex Vivo ◽  
Synthetic Aperture ◽  
Single Element ◽  
High Frequency Ultrasound ◽  
Synthetic Aperture Imaging

High-frequency ultrasound (HFUS) imaging has emerged as an essential tool for pre-clinical studies and clinical applications such as ophthalmic and dermatologic imaging. HFUS imaging systems based on array transducers capable of dynamic receive focusing have considerably improved the image quality in terms of spatial resolution and signal-to-noise ratio (SNR) compared to those by the single-element transducer-based one. However, the array system still suffers from low spatial resolution and SNR in out-of-focus regions, resulting in a blurred image and a limited penetration depth. In this paper, we present synthetic aperture imaging with a virtual source (SA-VS) for an ophthalmic application using a high-frequency convex array transducer. The performances of the SA-VS were evaluated with phantom and ex vivo experiments in comparison with the conventional dynamic receive focusing method. Pre-beamformed radio-frequency (RF) data from phantoms and excised bovine eye were acquired using a custom-built 64-channel imaging system. In the phantom experiments, the SA-VS method showed improved lateral resolution (>10%) and sidelobe level (>4.4 dB) compared to those by the conventional method. The SNR was also improved, resulting in an increased penetration depth: 16 mm and 23 mm for the conventional and SA-VS methods, respectively. Ex vivo images with the SA-VS showed improved image quality at the entire depth and visualized structures that were obscured by noise in conventional imaging.

scholarly journals REGULARIZATION IMAGING ALGORITHM WITH ACCURATE G MATRIX FOR NEAR-FIELD MMW SYNTHETIC APERTURE IMAGING RADIOMETER

2014 ◽  
Vol 58 ◽  
pp. 193-203 ◽  
Author(s):  
Jianfei Chen ◽  
Yuehua Li ◽  
Jianqiao Wang ◽  
Yuanjiang Li ◽  
Yilong Zhang
Keyword(s):  
Near Field ◽  
Synthetic Aperture ◽  
Synthetic Aperture Imaging ◽  
Imaging Algorithm

Precipitation mapping with an airborne synthetic aperture imaging radar

1977 ◽  
Vol 82 (24) ◽  
pp. 3445-3451 ◽  
Author(s):  
David Atlas ◽  
Charles Elachi ◽  
Walter E. Brown
Keyword(s):  
Synthetic Aperture ◽  
Synthetic Aperture Imaging ◽  
Imaging Radar

All-In-Focus Synthetic Aperture Imaging

2014 ◽  
pp. 1-15 ◽  
Author(s):  
Tao Yang ◽  
Yanning Zhang ◽  
Jingyi Yu ◽  
Jing Li ◽  
Wenguang Ma ◽  
...  
Keyword(s):  
Synthetic Aperture ◽  
Synthetic Aperture Imaging

The impact of space-time speckle to the resolution in range and azimuth direction on synthetic aperture imaging ladar

2013 ◽  
Author(s):  
Qian Xu ◽  
Yu Zhou ◽  
Jianfeng Sun ◽  
Ya'nan Zhi ◽  
Xiaoping Ma ◽  
...  
Keyword(s):  
Space Time ◽  
Synthetic Aperture ◽  
Synthetic Aperture Imaging ◽  
The Impact
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