A fast and accurate basis pursuit denoising algorithm with application to super-resolving tomographic SAR [PDF]
, 2018 $L_1$ regularization is used for finding sparse solutions to an underdetermined linear system. As sparse signals are widely expected in remote sensing, this type of regularization scheme and its extensions have been widely employed in many remote sensing
Bamler, Richard +3 more
core +3 more sources
Two-Dimensional l1-Norm Minimization in SAR Image Reconstriction
Cybernetics and Information Technologies, 2015 A nonconventional image algorithm, based on compressed sensing and l1-norm minimization in Synthetic Aperture Radar (SAR) application is discussed.
Lazarov A., Minchev D.
doaj +1 more source
Comparison of Raw Data-Based and Complex Image-Based Sparse SAR Imaging Methods
Sensors, 2019 Sparse signal processing has already been introduced to synthetic aperture radar (SAR), which shows potential in improving imaging performance based on raw data or a complex image.
Zhilin Xu +4 more
doaj +1 more source
Block Sparse Bayesian Learning over Local Dictionary for Robust SAR Target Recognition
International Journal of Optics, 2020 This paper applied block sparse Bayesian learning (BSBL) to synthetic aperture radar (SAR) target recognition. The traditional sparse representation-based classification (SRC) operates on the global dictionary collaborated by different classes ...
Chenyu Li, Guohua Liu
doaj +1 more source
The spread of non‐native species
Biological Reviews, EarlyView.ABSTRACT The global redistribution of species through human agency is one of the defining ecological signatures of the Anthropocene, with biological invasions reshaping biodiversity patterns, ecosystem processes and services, and species interactions globally.
Phillip J. Haubrock +16 more
wiley +1 more source
Review of millimeter‐wave and terahertz near‐field synthetic aperture radar imaging technology
InfoScience, EarlyView.Abstract This paper comprehensively reviews the development of millimeter‐wave (MMW) and terahertz (THz) near‐field imaging technologies, with an emphasis on the state of synthetic aperture radar (SAR)‐based imaging technologies. Near‐field imaging technologies are categorized into passive and active imaging modes, among which active imaging is favored
Qi Yang +3 more
wiley +1 more source
Improved L1/2 Threshold Iterative High Resolution SAR Imaging Algorithm
Leida xuebao, 2023 An improved Synthetic Aperture Radar (SAR) imaging algorithm is proposed to address the issues of low azimuth resolution and noise interference in the sparse sampling condition.
Zhiqi GAO +4 more
doaj +1 more source
Ship Wake Detection in SAR Images via Sparse Regularization [PDF]
, 2019 In order to analyse synthetic aperture radar (SAR) images of the sea surface, ship wake detection is essential for extracting information on the wake generating vessels.
Achim, Alin +2 more
core +4 more sources
Desertification Risk: Bibliometric Analysis and Future Research Directions
Land Degradation &Development, EarlyView.ABSTRACT Desertification, driven by climatic and anthropogenic factors, is one of the most pressing global environmental challenges, causing significant economic, ecological, and social consequences. A bibliometric analysis was performed to identify research trends and gaps in the desertification risk topic.
Fatima‐Ezzahrae Imam +5 more
wiley +1 more source
Joint sparsity-driven inversion and model error correction for radar imaging [PDF]
, 2009 Solution of inverse problems in imaging requires the use of a mathematical model of the observation process. However such models often involve errors and uncertainties themselves. The application of interest in this paper is synthetic aperture radar (SAR)
Cetin, Mujdat +3 more
core +2 more sources