28   Artículos

 
en línea
Xiaoqin Lian, Xue Huang, Chao Gao, Guochun Ma, Yelan Wu, Yonggang Gong, Wenyang Guan and Jin Li    
In recent years, the advancement of deep learning technology has led to excellent performance in synthetic aperture radar (SAR) automatic target recognition (ATR) technology. However, due to the interference of speckle noise, the task of classifying SAR ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Elay Dahan and Israel Cohen    
In this paper, we present a new method for multitask learning applied to ultrasound beamforming. Beamforming is a critical component in the ultrasound image formation pipeline. Ultrasound images are constructed using sensor readings from multiple transdu... ver más
Revista: Information    Formato: Electrónico

 
en línea
Sara Zollini, Donatella Dominici, Maria Alicandro, María Cuevas-González, Eduard Angelats, Francesca Ribas and Gonzalo Simarro    
Coastal environments are dynamic ecosystems, constantly subject to erosion/accretion processes. Erosional trends have unfortunately been intensifying for decades due to anthropic factors and an accelerated sea level rise might exacerbate the problem. It ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Shaona Wang, Yang Liu and Linlin Li    
In this study, a novel feature learning method for synthetic aperture radar (SAR) image automatic target recognition is presented. It is based on spatial pyramid matching (SPM), which represents an image by concatenating the pooling feature vectors that ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Shunlei Li, Muhammad Adeel Azam, Ajay Gunalan and Leonardo S. Mattos    
Optical coherence tomography (OCT) is a rapidly evolving imaging technology that combines a broadband and low-coherence light source with interferometry and signal processing to produce high-resolution images of living tissues. However, the speckle noise... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Fang Ding, Lin Wang, Iryna Dronova and Kun Cao    
Beijing-1 and ENVISAT ASAR images were used to classify wetland aquatic macrophytes in terms of their plant functional types (PFTs) over the Poyang Lake region, China. Speckle noise filtering, systematic sensor calibration within the same polarization or... ver más
Revista: Water    Formato: Electrónico

 
en línea
Hakan Köksal, Nusret Demir and Ali Kilcik    
Ionizing radiation sources such as Solar Energetic Particles and Galactic Cosmic Radiation may cause unexpected errors in imaging and communication systems of satellites in the Space environment, as reported in the previous literature. In this study, the... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Felix Lehmkühler, Wojciech Roseker and Gerhard Grübel    
X-ray photon correlation spectroscopy (XPCS) enables the study of sample dynamics between micrometer and atomic length scales. As a coherent scattering technique, it benefits from the increased brilliance of the next-generation synchrotron radiation and ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
John Restrepo, Nelson Correa-Rojas and Jorge Herrera-Ramirez    
Speckle noise is a well-documented problem on coherent imaging techniques like Digital Holography. A method to reduce the speckle noise level is presented, based on introducing a Digital Micromirror Device to phase modulate the illumination over the obje... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ketao Yan, Lin Chang, Michalis Andrianakis, Vivi Tornari and Yingjie Yu    
This paper presents a new processing method for denoising interferograms obtained by digital holographic speckle pattern interferometry (DHSPI) to serve in the structural diagnosis of artworks. DHSPI is a non-destructive and non-contact imaging method th... ver más
Revista: Applied Sciences    Formato: Electrónico

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