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...

The micro-Doppler (m-D) effect caused by the rotational parts of targets influences quality inverse synthetic aperture radar (ISAR) imaging. In this letter, a novel deep network-assisted method is proposed to reduce m-D in ISAR training data, including images with and without effect, help network establish non-linear mapping relationships. simulated measured data results show effectiveness meth...

Traditionally a rigorous mathematical document consists of a sequence of definition – statement – proof. Taking this basic outline as starting point we investigate how these three categories of text can be represented adequately in the formal language of Isabelle/Isar. Proofs represented in human-readable form have been the initial motivation of Isar language design 10 years ago. The principles...

II We have designed and developed an automatic ship classification (ASe) system for classifying potential naval targets from inverse synthetic-aperture radar (ISAR) imagery. Initially, the ASC system was developed for an over-thehorizon targeting application. In the application, an airborne platform with an on-board ISAR sensor transmitted imagery to a host ship carrying the ASC system. Our pre...