Results 231 to 240 of about 55,426 (257)
Some of the next articles are maybe not open access.
Coherent multistatic ISAR imaging
IET International Conference on Radar Systems (Radar 2012), 2012This paper presents methods for Coherent Multistatic Radar Imaging for Non Cooperative Target Recognition (NCTR) with a network of radar sensors. Coherent Multistatic Radar Imaging is based on an extension of existing monostatic ISAR algorithms to the multistatic environment.
Dorp, Ph. van+2 more
openaire +3 more sources
A survey on ISAR autofocusing techniques
2004 International Conference on Image Processing, 2004. ICIP '04., 2005Over many years of research, several ISAR autofocusing techniques have been proposed. Today, we can divide them into two main categories: parametric and non-parametric techniques. The prominent point processing and the phase gradient algorithm are two classical examples of non-parametric techniques, whereas the more recent image contrast and entropy ...
BERIZZI, FABRIZIO+4 more
openaire +3 more sources
A Review of ISAR Imaging Technology [PDF]
With the requirements of radar resolution improving, the aperture of traditional radar has become the bottleneck of its development. In order to overcome this problem, phased array radar and virtual aperture radar are proposed. Virtual Aperture Radar can be divided into Synthetic Aperture Radar (SAR) and Inverse Synthetic Aperture Radar (ISAR).
Wenjun Yang+2 more
openaire +1 more source
The system compensation of isar
Journal of Electronics (China), 1993A method for compensating the amplitude-phase distortion of ISAR system is described. This system compensation can be separated into two parts: the compensation of the system before the mixer and the compensation of the system after the mixer. The, experimental results of the compensation in microwave dark room are given.
Cao Zhidao, Su Fulin, Meng Xiande
openaire +2 more sources
Simulations of ISAR image errors
IEEE Transactions on Instrumentation and Measurement, 1990The authors present concepts and show simulation results for a number of situations where the ISAR (inverse synthetic aperture radar) image is degraded by errors introduced by the signal acquisition and data processing. These errors result in degradation of resolution, false targets in the image, geometric distortion of the image, incorrect values for ...
A. Jain, I. Patel
openaire +2 more sources
2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
Conventional envelope alignment method of ISAR imaging assumes that the target is a rigid body, and therefore, the correlation between one-dimensional range profiles at neighboring time slots gives a larger value compared to correlation between time separated range profiles.
Hwee Siang Tan+5 more
openaire +2 more sources
Conventional envelope alignment method of ISAR imaging assumes that the target is a rigid body, and therefore, the correlation between one-dimensional range profiles at neighboring time slots gives a larger value compared to correlation between time separated range profiles.
Hwee Siang Tan+5 more
openaire +2 more sources
SAR, ISAR and hybrid SAR/ISAR-a unified treatment of radar imaging
The Record of the 1993 IEEE National Radar Conference, 2002The modeling of aperture synthesis as a process of Fourier transformation and inversion provides a unified description of synthetic aperture radar (SAR), inverse SAR (ISAR) and hybrid SAR/ISAR techniques. The degradation of the resulting imagery arising from errors in the estimation of target and platform motions and operation in the near field is ...
K.D. Ward, N.J. Porter, R.J.A. Tough
openaire +2 more sources
2014
Autofocus allows us to generate images with better quality by automatically adjusting the image focusing parameters. For radar imaging, autofocus means to automatically correct phase errors based on collected radar returns from targets. Inverse synthetic aperture radar (ISAR) motion compensation includes range alignment and phase adjustment.
Victor C. Chen, Marco Martorella
openaire +2 more sources
Autofocus allows us to generate images with better quality by automatically adjusting the image focusing parameters. For radar imaging, autofocus means to automatically correct phase errors based on collected radar returns from targets. Inverse synthetic aperture radar (ISAR) motion compensation includes range alignment and phase adjustment.
Victor C. Chen, Marco Martorella
openaire +2 more sources
2014
Inverse synthetic aperture radar (ISAR) imaging is typically useful when there is a need to classify, recognize, or identify a moving target of interest. In fact, an ISAR image highlights two-dimensional (2-D) geometric features of a target, which can provide indications of target's type, size, and other salient information.
Victor C. Chen, Marco Martorella
openaire +2 more sources
Inverse synthetic aperture radar (ISAR) imaging is typically useful when there is a need to classify, recognize, or identify a moving target of interest. In fact, an ISAR image highlights two-dimensional (2-D) geometric features of a target, which can provide indications of target's type, size, and other salient information.
Victor C. Chen, Marco Martorella
openaire +2 more sources
Passive ISAR With DVB-T Signals
IEEE Transactions on Geoscience and Remote Sensing, 2013As recently demonstrated, passive radars are able to detect and track targets by exploiting illuminators of opportunity. In this paper, it will be proven that the same concept can be extended to passive inverse synthetic aperture radar (P-ISAR) imaging.
Domenico Olivadese+5 more
openaire +2 more sources