A novel hydrocarbon detection approach via high-resolution frequency-dependent AVO inversion based on variational mode decomposition
Amplitude-versus-offset (AVO) inversion always plays an important role in reservoir fluid
identification, which allows the estimation of various rock and fluid properties from prestack …
identification, which allows the estimation of various rock and fluid properties from prestack …
Multipolarization through-wall radar imaging using low-rank and jointly-sparse representations
VH Tang, A Bouzerdoum… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Compressed sensing techniques have been applied to through-the-wall radar imaging
(TWRI) and multipolarization TWRI for fast data acquisition and enhanced target localization …
(TWRI) and multipolarization TWRI for fast data acquisition and enhanced target localization …
Non-line-of-sight moving target detection method based on noise suppression
Y Wei, B Sun, Y Zhou, H Wang - Remote Sensing, 2022 - mdpi.com
At the present time, most of existing security systems only detect and track targets in line-of-
sight (LOS). However, in practice, the locations of targets are often out of the line of sight …
sight (LOS). However, in practice, the locations of targets are often out of the line of sight …
Distributed detection of sparse stochastic signals with quantized measurements: The generalized Gaussian case
In this paper, we consider distributed detection of sparse stochastic signals with quantized
measurements. Assume that both the noise and the dominant elements in sparse signals …
measurements. Assume that both the noise and the dominant elements in sparse signals …
Detection of sparse stochastic signals with quantized measurements in sensor networks
In this paper, we consider the problem of detection of sparse stochastic signals with
quantized measurements in sensor networks. The observed sparse signals are assumed to …
quantized measurements in sensor networks. The observed sparse signals are assumed to …
Hashing for localization (HfL): A baseline for fast localizing objects in a large-scale scene
Advanced remote-sensing instruments produce massively large scenes from the surface of
the earth, with very high spatial resolution and dimensionality. Developing methods for …
the earth, with very high spatial resolution and dimensionality. Developing methods for …
Distributed detection of sparse signals with censoring sensors in clustered sensor networks
In this paper, we explore the distributed detection of sparse signals in energy-limited
clustered sensor networks (CSNs). For this problem, the centralized detector based on …
clustered sensor networks (CSNs). For this problem, the centralized detector based on …
Enhanced 1-bit radar imaging by exploiting two-level block sparsity
Conventional compressive sensing (CS) aims at sparse signal recovery from the
measurements with continuous values. Quantized CS (QCS) methods arise in digital …
measurements with continuous values. Quantized CS (QCS) methods arise in digital …
Cluster Adaptive Matching Pursuit for Multipolarization Through-Wall Radar Imaging
A Wang, C Chen, W Chen - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Among various types of sensors, through-wall radar is a promising sensor that can penetrate
obstacles and sense the targets behind them. In this article, by exploiting the common …
obstacles and sense the targets behind them. In this article, by exploiting the common …
Group Sparse Basis Pursuit Denoising Reconstruction Algorithm for Polarimetric Through‐the‐Wall Radar Imaging
L Qu, S An, T Yang, Y Sun - International Journal of Antennas …, 2018 - Wiley Online Library
Polarimetric through‐the‐wall radar imaging (TWRI) system has the enhancing performance
in the detection, imaging, and classification of concealed targets behind the wall. We …
in the detection, imaging, and classification of concealed targets behind the wall. We …