Results 241 to 250 of about 55,426 (257)
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ISAR Motion Compensation

2014
As introduced in Chapter 3, inverse synthetic aperture radar (ISAR) data are arranged in a 2-D matrix, where the number of range cells is in its row and the number of pulses is in its column, or vice versa. To reconstruct an ISAR range-Doppler image, we first take range compression to obtain ISAR range profiles, which is a sequence of consecutive range
Victor C. Chen, Marco Martorella
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An ISAR simulator for ships

Antennas and Propagation Society Symposium 1991 Digest, 2002
The authors describe techniques used to simulate ISAR (inverse synthetic aperture radar) images of ship models experiencing angular motions such as yaw, pitch, and roll. The simulation incorporates target modeling, radar scattering estimation, and image formation.
E.H. Buller   +3 more
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Introduction to ISAR Imaging

2014
The aim of this introductory chapter is to cover some fundamental concepts on ISAR and to highlight some characteristics that make these systems unique, especially related to SAR. Although SAR and ISAR share the same underlining concept of forming a synthetic aperture, they are substantially different in the way they process the radar received signal ...
Victor C. Chen, Marco Martorella
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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   +2 more
openaire   +4 more sources

ISAR Image Formation

2014
In this chapter, we will introduce the most commonly used ISAR range-Doppler image formation. However, if the Doppler spectrum generated by a rotating target has severe time variation, ISAR range-Doppler image will become smeared in the Doppler domain. In these cases, in addition to conventional rotational motion compensation (RMC) methods such as the ...
Victor C. Chen, Marco Martorella
openaire   +2 more sources

High resolution ISAR processing using real data: ISAR-to-SAR approach

2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2015
In this paper, a novel high resolution inverse synthetic aperture radar (ISAR) processing technique is proposed. The proposed method employs sub-aperture recombination scheme such that target features can be effectively preserved even for wide aperture data.
Chul H. Jung   +2 more
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Der ISAR-positive Patient in der Urologie

Aktuelle Urologie, 2018
Zusammenfassung Hintergrund Seit 2015 ist mit dem ISAR-Screening (Identification of Seniors at Risk) wie in vielen Bundesländern ein geriatrisches Eingangsscreening bei allen über 75-jährigen Krankenhauspatienten vorgeschrieben. Unklar ist bisher, wie die als „mit geriatrischem Handlungsbedarf“ identifizierten Patienten in der Urologie weiter
Andreas Wiedemann   +3 more
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Bistatic ISAR

2018
This chapter presents the application of the PB-ISAR (passive bistatic-ISAR) technique to data collected in a harbor area. The results show the effectiveness of PB-ISAR algorithm for the purposes of harbor protection and surveillance. In Chapter 5, the theory behind PB-ISAR imaging has been detailed. The PB-ISAR algorithm is based on two main concepts.
Martorella, Marco   +6 more
openaire   +3 more sources

Narrowband multistatic ISAR imagery system

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005
This article deals with the imagery of mobile targets by using a multistatic radar (several transmitters and one receiver). First, we develop an original multistatic algorithm based on spatio-temporal SAR methods. As the transmitted signal is narrowband and the central frequency is weak, the final resolutions of the image depend on two parameters: the ...
Ginolhac, Guillaume   +2 more
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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
openaire   +2 more sources

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