Results 51 to 60 of about 103,839 (206)

DeepRED Based Sparse SAR Imaging

open access: yesRemote Sensing
The integration of deep neural networks into sparse synthetic aperture radar (SAR) imaging is explored to enhance SAR imaging performance and reduce the system’s sampling rate. However, the scarcity of training samples and mismatches between the training
Yao Zhao   +4 more
doaj   +1 more source

Faz hatalı SAR verileri için karesel olmayan düzenlileştirmeye dayalı bir görüntü oluşturma tekniği (A nonquadratic regularization based image reconstruction technique for SAR data with phase errors) [PDF]

open access: yes, 2009
Sentetik Açıklıklı Radar (SAR) görüntülemesinde karşılaşılan önemli problemlerden biri faz hatalarıdır. Faz hataları, SAR’ın bulunduğu platformla hedef arasındaki uzaklığın tam olarak ölçülememesi ya da gönderilen işaretlerin atmosferdeki türbülansa ...
Cetin, Mujdat   +3 more
core   +1 more source

Fractal dimension images from SAR images [PDF]

open access: yes2014 IEEE International Conference on Image Processing (ICIP), 2014
In this paper we present the description of the image-processing issues underlying the estimation of the fractal dimension of natural surfaces from their corresponding synthetic aperture radar images. The choice of the spectral-estimation method is a key issue, due to the special nature of the problem at hand.
RICCIO, DANIELE   +4 more
openaire   +3 more sources

Unambiguous Imaging of Static Scenes and Moving Targets with the First Chinese Dual-Channel Spaceborne SAR Sensor

open access: yesSensors, 2017
Multichannel synthetic aperture radar (SAR) is a breakthrough given the inherent limitation between high-resolution and wide-swath (HRWS) faced with conventional SAR.
Tingting Jin   +3 more
doaj   +1 more source

Foundations of radar synthesis theory of phantom objects formation in SAR images

open access: yesРадіоелектронні і комп'ютерні системи
The primary research area is developing a theory of false object formation in aerospace radar images. This process involves adding the spatial and temporal trajectory signals of the object information features that are absent on the underlying surface ...
Volodymyr Pavlikov   +8 more
doaj   +1 more source

Design Considerations for Murine Retinal Imaging Using Scattering Angle Resolved Optical Coherence Tomography

open access: yesApplied Sciences, 2018
Optical coherence tomography (OCT), an optical imaging approach enabling cross-sectional analysis of turbid samples, is routinely used for retinal imaging in human and animal models of diseases affecting the retina.
Michael R. Gardner   +4 more
doaj   +1 more source

Key Technology and Preliminary Progress of Microwave Vision 3D SAR Experimental System

open access: yesLeida xuebao, 2022
Three-Dimensional (3D) Synthetic Aperture Radar (SAR) imaging has considerable application potential in steep-terrain mapping and target recognition in complex environments and is an important development direction in the current SAR field.
Xiaolan QIU   +9 more
doaj   +1 more source

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

open access: yesLeida 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   +4 more
doaj   +1 more source

Ultra Wide Swath Imaging With Multi-Channel SAR Systems [PDF]

open access: yes, 2008
Multi-channel radar systems allow for overcoming the inherent limitation of conventional synthetic aperture radar (SAR). An example is the combination of digital beamforming on receive in elevation with multi-aperture SAR signal reconstruction in azimuth
Bordoni, Federica   +4 more
core  

Synthetic aperture radar images of ocean waves, theories of imaging physics and experimental tests [PDF]

open access: yes, 1984
The physical mechanism for the synthetic Aperture Radar (SAR) imaging of ocean waves is investigated through the use of analytical models. The models are tested by comparison with data sets from the SEASAT mission and airborne SAR's.
Durden, S. L.   +3 more
core   +1 more source

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