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A Review of ISAR Imaging Technology [PDF]

2020 IEEE International Conference on Information Technology,Big Data and Artificial Intelligence (ICIBA), 2020
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, Guoqiang Zhang, Pengfei Zhou   +2 more
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Coherent multistatic ISAR imaging

IET International Conference on Radar Systems (Radar 2012), 2012
This 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, Otten, M.P.G., Verzeilberg, J.M.M.   +2 more
openaire   +3 more sources

ISAR imaging of helicopter

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, Chang Zheng Ma, Bin Zou, Zhoufeng Liu, Tat Soon Yeo, Xiujie Dong   +5 more
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Simulations of ISAR image errors

IEEE Transactions on Instrumentation and Measurement, 1990
The 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
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Statistical CLEAN Technique for ISAR Imaging

IEEE Transactions on Geoscience and Remote Sensing, 2007
Inverse synthetic aperture radar (ISAR) images are frequently used in target classification and recognition applications. Some classifiers often require features that can be more easily obtained by extracting scattering centers from ISAR data rather than by reconstructing ISAR images.
MARTORELLA, MARCO, ACITO, NICOLA, BERIZZI, FABRIZIO   +2 more
openaire   +4 more sources

Efficient classification of ISAR images

IEEE Transactions on Antennas and Propagation, 2005
In this paper, we propose a method to classify inverse synthetic aperture radar images from different targets. Our approach can provide efficient features for classification by the combined use of a polar mapping procedure and a well-designed classifier. The resulting feature vectors are able to meet the requirements that efficient features should have:
Dong-Kyu Seo, Hyo-Tae Kim, Kyung-Tae Kim
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Rayleigh-based segmentation of ISAR images

Applied Optics, 2023
Inverse synthetic aperture radar (ISAR) provides a solution to increase the radar angular resolution by observing a moving target over time. The high-resolution ISAR image should undergo a segmentation step to get the target’s point cloud data, which is then used for classification purposes. Existing segmentation algorithms seek an optimal threshold in
S. Hamed Javadi, Hichem Sahli, André Bourdoux   +2 more
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Simulation of shipborne ISAR imaging

2012 IEEE 11th International Conference on Signal Processing, 2012
Shipborne inverse synthetic aperture radar (ISAR) imaging is in imperious demands with warfare at sea tending to be the key battle field in the future. Simulations of shipborne ISAR imaging are studied when ships are yawing, pitching and rolling are studied.
Jing Lu, Fulin Su, Jianjun Gao
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