Results 301 to 310 of about 9,215,645 (352)

Multitemporal SAR image compression

Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002
In 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, Marie-Catherine Mouchot, Guy Cazuguel   +2 more
openaire   +1 more source

First Demonstration of Joint Wireless Communication and High-Resolution SAR Imaging Using Airborne MIMO Radar System

IEEE Transactions on Geoscience and Remote Sensing, 2019
Special attention has been devoted to joint wireless communication and radar sensing systems in recent years. However, since communication and radar have conflict requirements in terms of waveforms, transceiver developments, and signal processing ...
Jie Wang, Xing-dong Liang, Long-Yong Chen, Li-Na Wang, Kun Li   +4 more
semanticscholar   +1 more source

3-D MIMO-SAR Imaging Using Multi-Chip Cascaded Millimeter-Wave Sensors

IEEE Global Conference on Signal and Information Processing, 2019
Integration of multi-chip cascaded multiple-input multiple-output (MIMO) millimeter-wave (mmWave) sensors with synthetic aperture radar (SAR) imaging will enable cost-effective and scalable solutions for a variety of applications including security ...
M. Yanik, Dan Wang, M. Torlak
semanticscholar   +1 more source

Filtering of multichannel SAR images

IEEE Transactions on Geoscience and Remote Sensing, 2001
An explicit form of the linear multichannel synthetic aperture radar (SAR) intensity filter, which preserves radiometry while optimally reducing speckle is derived, together with a compact expression for the theoretical gain in equivalent numbers of looks (ENLs).
Shaun Quegan, Jiong Jiong Yu
openaire   +2 more sources

Image processing for multitemporal SAR images.

1998
In 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, Rudant, Jean-Paul, Classeau, Nicholas, Flasque, B., Guilope, P., Herlin, Isabelle, Sigelle, Marc, Stroobants, W.   +7 more
openaire   +2 more sources

Research on Bistatic SAR Imaging

2006 IEEE International Symposium on Geoscience and Remote Sensing, 2006
For reasons of stealth and other operational advantages, more attention has recently been focused on bistatic SAR Bistatic SAR uses separated transmitter and receiver flying on different platforms, and has the ability of the exploitation of additional information contained in the bistatic reflectivity of targets.
Zhenbo Zhu, Ziyue Tang, Xingzhou Jiang
openaire   +2 more sources

Compressive Sensing Based SAR Imaging and Autofocus Using Improved Tikhonov Regularization

IEEE Sensors Journal, 2019
For synthetic aperture radar (SAR) imaging, the compressive sensing (CS) coupled with total variation (TV)-based algorithm is known as an effective focusing technique using under-sampled dataset.
Minseok Kang, Kyungtae Kim
semanticscholar   +1 more source

Polarimetric discriminators for SAR images

IEEE Transactions on Geoscience and Remote Sensing, 1992
A method is developed for optimizing the degree of polarization of a partially polarized wave reflected by a nonstationary scattering object. The method permits, for a scattered wave and a given target characterized by its Mueller matrix, analytic computation of the maximum and minimum values of the degree of polarization, and the corresponding ...
Ridha Touzi, Stéphane Goze, Thuy Le Toan, Armand Lopès, Eric Mougin   +4 more
openaire   +2 more sources

A Bayesian approach to SAR imaging

Digital Signal Processing, 2013
We 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, Ming Xue, Xing Tan 0001, Jian Li 0001   +3 more
openaire   +1 more source

Multiedge detection in SAR images

1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002
Edge 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, Philippe Marthon, Armand Lopes, Eliane Cubero-Castan   +3 more
openaire   +1 more source