Micro-Doppler effect analysis and feature extraction in inverse synthetic aperture imaging LADAR imaging

2011 ◽  
Vol 5 (1) ◽  
pp. 051502
Author(s):  
Jin He
Keyword(s):  
Feature Extraction ◽  
Doppler Effect ◽  
Synthetic Aperture ◽  
Synthetic Aperture Imaging ◽  
Effect Analysis

scholarly journals Application of S-Transform Random Consistency in Inverse Synthetic Aperture Imaging Laser Radar Imaging

2019 ◽  
Vol 9 (11) ◽  
pp. 2313
Author(s):  
Bo Zang ◽  
Mingzhe Zhu ◽  
Xianda Zhou ◽  
Lu Zhong ◽  
Zijiao Tian
Keyword(s):  
Feature Extraction ◽  
Rigid Body ◽  
Wave Length ◽  
Radar Imaging ◽  
Synthetic Aperture ◽  
Laser Radar ◽  
Synthetic Aperture Imaging ◽  
Doppler Image ◽  
S Transform ◽  
Random Sample Consensus

Under the same principle, laser radar could be more sensitive to the micro-Doppler (m-D) effect due to its wave length, as the characteristic of multi-resolution, S transform could reduce the influence of the micro-Doppler component and enhance the imaging effect. This paper presents a method for micro-Doppler feature extraction in Inverse Synthetic Aperture Imaging Laser Radar (ISAIL) imaging. It is accessible and comprehensive, applying Random Sample Consensus (RANSAC) for the separation and reconstruction of micro-Doppler and rigid body signals. Experiments show that the method can effectively remove the micro-Doppler information and obtain a clear target distance-instantaneous Doppler image.

scholarly journals Micro-Doppler Feature Extraction of Inverse Synthetic Aperture Imaging Laser Radar Using Singular-Spectrum Analysis

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3303 ◽  
Author(s):  
Mingzhe Zhu ◽  
Xianda Zhou ◽  
Bo Zang ◽  
Baisheng Yang ◽  
Mengdao Xing
Keyword(s):  
Feature Extraction ◽  
Spectrum Analysis ◽  
Singular Spectrum Analysis ◽  
Synthetic Aperture ◽  
Laser Radar ◽  
Minimum Entropy ◽  
Synthetic Aperture Imaging ◽  
Singular Spectrum ◽  
Microwave Radar ◽  
Computation Efficiency

Different from microwave radar, laser radar could be more sensitive to the micro-Doppler (m-D) effect due to its wave length. This limits the application of conventional methods, such as time–frequency based approach, since the processing needs a receiver with much higher sampling frequency than microwave radar. In this paper, a micro-Doppler feature extraction algorithm is proposed for the inverse synthetic aperture imaging laser radar (ISAIL). Singular-spectrum analysis (SSA) is employed for separation and reconstruction of the micro-Doppler and rigid body signal. Clear ISAIL image is obtained by minimum entropy criteria after echo signal decomposition. After theoretical derivation, the computation efficiency and ability of the proposed method is proved by the results of simulation and real data of An-26.

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.

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