Nonlocal Elastica Model for Sparse Reconstruction
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Mathematical Imaging and Vision"
DOI: 10.1007/s10851-019-00943-7
Abstract: In view of the exceptional ability of curvature in connecting missing edges and structures, we propose novel sparse reconstruction models via the Euler’s elastica energy. In particular, we firstly extend the Euler’s elastica regularity into… read more here.
Keywords: elastica model; sparse reconstruction; nonlocal elastica; elastica ... See more keywords
A weighted sparse reconstruction-based ultrasonic guided wave anomaly imaging method for composite laminates
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DOI: 10.1016/j.compstruct.2018.10.097
Abstract: Abstract Ultrasonic guided wave is a promising tool for structural health monitoring and nondestructive testing. Numerous signal processing methods have been proposed to detect and localize anomalies based on ultrasonic guided waves for plate-like structures.… read more here.
Keywords: anomaly imaging; sparse reconstruction; weighted sparse; wave ... See more keywords
Adaptive Weighting Based on Subimage Sparse Model for SAR Occluded Target Recognition
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2019.2917033
Abstract: Partially occluded target recognition is a problem that is rarely studied but must be faced in the field of synthetic aperture radar target recognition. The difficulty of this problem is finding out the location of… read more here.
Keywords: target recognition; sparse reconstruction; occluded target; recognition ... See more keywords
Vehicle Behavior Learning via Sparse Reconstruction with $\ell_{2}-\ell_{p}$ Minimization and Trajectory Similarity
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2016.2587814
Abstract: Vehicle behavior learning can be used in video surveillance systems to identify normal and abnormal vehicle motion patterns for the management of traffic operations, public services, and law enforcement. The purpose of this paper is… read more here.
Keywords: tex math; sparse reconstruction; vehicle; inline formula ... See more keywords
Sparse Reconstruction Algorithm for Nonhomogeneous Counting Rate Estimation
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DOI: 10.1109/tsp.2016.2620104
Abstract: One of the main objectives of nuclear spectroscopy is the estimation of the counting rate of unknown radioactive sources. Recently, we proposed an algorithm based on a sparse reconstruction of the time signal in order… read more here.
Keywords: estimation; counting rate; sparse reconstruction;
Sparse reconstruction of guided wavefield from limited measurements using compressed sensing
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DOI: 10.12989/sss.2020.25.3.369
Abstract: A wavefield sparse reconstruction technique based on compressed sensing is developed in this work to dramatically reduce the number of measurements. Firstly, a severely underdetermined representation of guided wavefield at a snapshot is established in… read more here.
Keywords: reconstruction; wavefield sparse; sparse reconstruction; guided wavefield ... See more keywords
Adaptive sparse reconstruction for lensless digital holography via PSF estimation and phase retrieval.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.458360
Abstract: In-line lensless digital holography has great potential in multiple applications; however, reconstructing high-quality images from a single recorded hologram is challenging due to the loss of phase information. Typical reconstruction methods are based on solving… read more here.
Keywords: digital holography; lensless digital; reconstruction; phase ... See more keywords