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Multitemporal SAR image compression
Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002In this paper, we propose a new method for compressing with loss temporal series of SAR images. The algorithm requires a reference scene used as an input in the compression process. The compression is achieved through affine transformations, comparable to the ones used in fractal coding, but applied here in a non-convergent way.
Grégoire Mercier +2 more
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Image processing for multitemporal SAR images.
1998In 1996, the French research group ISIS* proposed a research initiative in the field of radar imaging. One purpose aims to study specificities of multitemporal SAR (synthetic Aperture Radar) images. This paper presents some results of research undertaken in the multitemporal workgroup.
Huot, Etienne +7 more
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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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A Bayesian approach to SAR imaging
Digital Signal Processing, 2013We introduce a new approach using the Bayesian framework for the reconstruction of sparse Synthetic Aperture Radar (SAR) images. The algorithm, named SLIM, can be thought of as a sparse signal recovery algorithm with excellent sidelobe suppression and high resolution properties.
Duc Vu +3 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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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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Multiedge detection in SAR images
1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002Edge detection is a fundamental issue in image analysis. Due to the presence of speckle, which can be modelled as a strong multiplicative noise, edge detection in synthetic aperture radar (SAR) images is very difficult and methods developed for optical images are inefficient.
Roger Fjørtoft +3 more
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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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The hybrid SAR-ISAR imaging algorithm applied to SAR moving target imaging
2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012Typical SAR imaging aims at the static targets, which means that target is static and radar is moving. By contrast, ISAR imaging aims at the moving targets, which means that target is moving and radar is static. When detecting the moving targets by SAR, both radar and target are moving, which shows that rhe echo of moving targets not only have the ...
Huadong Sun +3 more
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