Results 311 to 320 of about 9,215,645 (352)
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Multichannel LEO SAR Imaging with GEO SAR Illuminator
2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2020Low-earth-orbit (LEO) synthetic aperture radar (SAR) can achieve advanced remote sensing applications benefiting from the large beam coverage and long duration time of interested area provided by a geosynchronous (GEO) SAR illuminator. In this paper, an imaging method for GEO-LEO SAR is proposed.
Junjie Wu 0001 +3 more
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IEEE Transactions on Geoscience and Remote Sensing, 2019
Since the width of range swath of synthetic aperture radar (SAR) is restricted by the pulse repetition frequency, there exists a tradeoff between the azimuth resolution and the range swath width. As a result, conventional SAR imaging methods based on the
Xiaoyu Yang +4 more
semanticscholar +1 more source
Since the width of range swath of synthetic aperture radar (SAR) is restricted by the pulse repetition frequency, there exists a tradeoff between the azimuth resolution and the range swath width. As a result, conventional SAR imaging methods based on the
Xiaoyu Yang +4 more
semanticscholar +1 more source
Passive SAR imaging using DVB‐T illumination for airborne applications
IET radar, sonar & navigation, 2019This study presents recent research results obtained by the Warsaw University of Technology, Poland in airborne passive synthetic aperture radar (SAR) imaging using digital video broadcasting-terrestrial illumination. The main goal of the research was to
D. Gromek +4 more
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Complex-Image-Based Sparse SAR Imaging and its Equivalence
IEEE Transactions on Geoscience and Remote Sensing, 2018Using sparse signal processing to replace matched filtering (MF) in synthetic aperture radar (SAR) imaging has shown significant potential to improve image quality.
H. Bi, Guoan Bi, Bingchen Zhang, W. Hong
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Geometrical SAR image registration
IEEE Transactions on Geoscience and Remote Sensing, 2006Accurate subpixel registration of synthetic aperture radar (SAR) images is an issue that is again growing interest since its initial developments related to two-pass interferometry. Recent progress in coherent (multichannel) SAR processing raises the need for accurate registration of data takes acquired with large baseline spans, high temporal coverage,
Sansosti E +4 more
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Deep Despeckling of SAR Images
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019This paper presents despeckling of Synthetic Aperture Radar (SAR) detected data using deep convolutional networks. A discriminative model learning using a deep convolutional neural network (DCNN) was used. A DCNN was used to learn speckle statistical properties to process SAR data.
Dusan Gleich, Danijel Sipos
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Compressed Sensing SAR Imaging Based on Centralized Sparse Representation
IEEE Sensors Journal, 2018Sparse representation based synthetic aperture radar (SAR) imaging approaches have shown their superior performance and great potential in compressed sensing SAR imaging field.
Jiacheng Ni, Qun Zhang, Ying Luo, Li Sun
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ON THE STABILITY OF THRESHOLDING SAR IMAGES
Pattern Recognition, 1998We investigate the stability of iteratively thresholding images that contain spec noise distributed according to the Gamma distribution. Our analysis is first order perturbation and we supplement it with experimentation in order to identify for which ranges of parameter values that characterise the problem, the iterative scheme will converge to the ...
Maria Petrou, Andrea Matrucceli
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Efficient Interpolation of SAR Images for Coregistration in SAR Interferometry
IEEE Geoscience and Remote Sensing Letters, 2007An efficient polynomial interpolation method is proposed to reduce the computational burden of the coregistration of synthetic aperture radar images in interferometric processing. The method can be viewed as an application of the Farrow interpolator technique and requires a series of 2-D fast Fourier transforms (FFTs).
Jesus Selva, Juan M. Lopez-Sanchez
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IEEE Transactions on Computational Imaging, 2019
In this paper, we introduce a multi-feature decomposition approach to the problem of synthetic aperture radar (SAR) image reconstruction from under-sampled data in both range and azimuth directions.
Majid Moradikia, S. Samadi, M. Çetin
semanticscholar +1 more source
In this paper, we introduce a multi-feature decomposition approach to the problem of synthetic aperture radar (SAR) image reconstruction from under-sampled data in both range and azimuth directions.
Majid Moradikia, S. Samadi, M. Çetin
semanticscholar +1 more source

