This paper discusses model construction for object recognition using ISAR images. A leaming-from-examples approach is used to construct recognition models of the objects from their ISAR data. Given a set of ISAR data of an object of interest, structural features are extracted from the images. Statistical analysis and geometrical reasoning are then used to analyze the features to find spatial an...

In this paper, a new generalized maximum integration angle for ISAR imaging system before uncorrected rotation produces defocusing in cross-range is presented which is in terms of allowable two-way phase deviation. It is assumed that the radar is in the far field of the target so that no significant range deviation exists over the target’s cross-range extent. What remains is the range deviation...

This paper presents an investigation of ISAR image classification based on a comparison of range-Doppler imagery to 3D ship reference models. This comparison is performed in the image domain by estimating the motion of a sequency of ISAR images, generating 3D reference models corresponding to the same motion and matching the models with the given ISAR images. The effect of estimation error in t...

Abstract. Bistatic angle is an important characteristic parameter of bistatic inverse synthetic aperture radar (ISAR), which is different from monostatic ISAR. Based on the echo model of bistatic ISAR, the impact of time-varying bistatic angle to imaging plane and quality is analyzed. The image distortion mechanism is studied and the distortion angle is estimated. The simulation experiment veri...

INTRODUCTION The Identification of Seniors At Risk-Hospitalised Patients (ISAR-HP) has recently been included in guidelines as a frailty indicator to identify patients for comprehensive geriatric assessment. Previous studies showed that the conventional cut-off score incorrectly classifies a high percentage of patients as high risk. We aimed to optimise the predictive value of ISAR-HP by using ...

BACKGROUND hospitalised older people are at risk for poor functioning after hospital discharge. We aimed to validate the predictive ability of the Identification Seniors At Risk-Hospitalized Patients (ISAR-HP) screening questionnaire to identify older patients at risk for functional dependence by comparing groups with different ISAR-HP scores on cognitive and physical functioning, mortality, he...

We present a generic approach to readable formal proof documents, called Intelligible semi-automated reasoning (Isar). It addresses the major problem of existing interactive theorem proving systems that there is no appropriate notion of proof available that is suitable for human communication, or even just maintenance. Isar’s main aspect is its formal language for natural deduction proofs, whic...

The ISAR imaging algorithm has depend on the mathematical model of the observation process, and the inaccuracies in the observation model may cause the model errors. In this paper, ISAR imaging is regarded as a narrow-band version of the Computer Aided Tomography (CT), where the phase errors in ISAR data are treated as model errors. Based on the inherent sparsity of targets in the imaging area,...

Sparse signal recovery algorithms can be used to improve radar imaging quality by using the sparse property of strong scatterers. Traditional sparse inverse synthetic aperture radar (ISAR) imaging algorithms mainly consider the recovery of sparse scatterers. However, the scatterers of an ISAR target usually exhibit block or group sparse structure. By utilizing the inherent block sparse structur...

a Klinik und Poliklinik fuer Psychosomatische Medizin und Psychotherapie, Klinikum rechts der Isar, Technische Universitaet Muenchen, Langerstrasse 3, D-81675 Muenchen, Germany b Abteilung fuer Neuroradiologie, Klinikum rechts der Isar, Technische Universitaet Muenchen, Ismaningerstrasse 22, D-81675 Muenchen, Germany c Klinik und Poliklinik fuer Psychosomatische Medizin und Psychotherapie, Univ...