Results 91 to 100 of about 15,887 (242)

CS-SAR Imaging Method Based on Inverse Omega-K Algorithm

Leida xuebao, 2017
Compressed Sensing (CS) has been proved to be effective in Synthetic Aperture Radar (SAR) imaging. Previous CS-SAR imaging algorithms are very time consuming, especially for producing high-resolution images. In this study, we propose a new CS-SAR imaging
Hu Jingqiu, Liu Falin, Zhou Chongbin, Li Bo, Wang Dongjin   +4 more
doaj   +1 more source

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, Daniela Smiraglia, Antonio Pulina, Francesca Assennato, Elisabetta Raparelli, Giovanna Seddaiu   +5 more
wiley   +1 more source

High-Fidelity SAR Imaging Under Composite Jamming via Collaborative Sparse Signal Optimization

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In practical combat scenarios, the high-resolution imaging process of synthetic aperture radar (SAR) is susceptible to diverse forms of electromagnetic jamming, which severely degrades the final imaging quality. To achieve high-fidelity SAR imaging under
Xinrui Li, Baixiao Chen, Jingtian Xu
doaj   +1 more source

Coal Mining as a Driver of Land Use and Land Cover Change and Degradation: A Case in Moatize City, Mozambique

Land Degradation &Development, EarlyView.
ABSTRACT Coal remains a major global energy source despite ongoing environmental controversies, particularly, regarding climate change and landscape transformation. This study investigates the spatiotemporal dynamics of land use and land cover (LULC) in the Moatize Coal Basin (MCB), Mozambique, between 1990 and 2024, with a specific focus on land ...
Ivan Latinho Naite, Basílio Fernandez Fernandez, Gilney Figueira Zebende   +2 more
wiley   +1 more source

Array Three-Dimensional SAR Imaging via Composite Low-Rank and Sparse Prior

Remote Sensing
Array three-dimensional (3D) synthetic aperture radar (SAR) imaging has been used for 3D modeling of urban buildings and diagnosis of target scattering characteristics, and represents one of the significant directions in SAR development in recent years ...
Zhiliang Yang, Yangyang Wang, Chudi Zhang, Xu Zhan, Guohao Sun, Yuxuan Liu, Yuru Mao   +6 more
doaj   +1 more source

System Concepts for Bi- and Multi-Static SAR Missions [PDF]

, 2003
The performance and capabilities of bi- and multistatic spaceborne synthetic aperture radar (SAR) are analyzed. Such systems can be optimized for a broad range of applications like frequent monitoring, wide swath imaging, single-pass cross-track ...
Fiedler, Hauke, Hounam, David, Krieger, Gerhard, Moreira, Alberto, Rodriguez Cassola, Marc   +4 more
core  

$L_{1/2}$ Regularization: Convergence of Iterative Half Thresholding Algorithm

, 2014
In recent studies on sparse modeling, the nonconvex regularization approaches (particularly, $L_{q}$ regularization with $q\in(0,1)$) have been demonstrated to possess capability of gaining much benefit in sparsity-inducing and efficiency.
Lin, Shaobo, Wang, Yao, Xu, Zongben, Zeng, Jinshan   +3 more
core   +1 more source

Fungal disease management in cotton using plant protection products: An Australian perspective

Pest Management Science, EarlyView.
Cotton disease management requires evidence‐driven use of plant protection products. Progress hinges on integrating chemistry, diagnostics, stewardship and sustainability to build resilient production systems. Abstract Cotton production faces persistent challenges from pathogens that compromise plant establishment, yield, and fibre quality.
Noel L Knight, Linda J Smith, Sambasivam Periyannan, Levente Kiss   +3 more
wiley   +1 more source

An innovative semantically guided SAR imaging and target enhancement method

Electronics Letters
Conventional sparse synthetic aperture radar (SAR) imaging methods apply regularisation to constrain scene priors. However, these methods often neglect specific target regions, resulting in undifferentiated imaging. This letter introduces a novel network
Guoru Zhou, Zhe Zhang, Bingchen Zhang, Yirong Wu   +3 more
doaj   +1 more source

Polar‐low track prediction using machine‐learning methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang, Rune Grand Graversen, Filippo Maria Bianchi, Jiping Liu, Ruibo Lei   +4 more
wiley   +1 more source