A novel hydrocarbon detection approach via high-resolution frequency-dependent AVO inversion based on variational mode decomposition

W Liu, S Cao, Z Jin, Z Wang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 …

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 …

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 …

Distributed detection of sparse stochastic signals with quantized measurements: The generalized Gaussian case

X Wang, G Li, C Quan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …

Detection of sparse stochastic signals with quantized measurements in sensor networks

X Wang, G Li, PK Varshney - IEEE Transactions on Signal …, 2019 - ieeexplore.ieee.org
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 …

Hashing for localization (HfL): A baseline for fast localizing objects in a large-scale scene

L Han, P Li, A Plaza, P Ren - IEEE Transactions on Geoscience …, 2021 - ieeexplore.ieee.org
Advanced remote-sensing instruments produce massively large scenes from the surface of
the earth, with very high spatial resolution and dimensionality. Developing methods for …

Distributed detection of sparse signals with censoring sensors in clustered sensor networks

C Li, G Li, PK Varshney - Information Fusion, 2022 - Elsevier
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 …

Enhanced 1-bit radar imaging by exploiting two-level block sparsity

X Wang, G Li, Y Liu, MG Amin - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Conventional compressive sensing (CS) aims at sparse signal recovery from the
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 …

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 …