Results 91 to 100 of about 1,748 (212)

Application of FDTD to HRRP Generation of a Cavity Model for NCTI Purposes [PDF]

, 2011
The application of a time-domain electromagnetic simulation code to a realistic and challenging problem like the high-resolution range profile (HRRP) generation of an inlet cavity model is presented in this paper.
R. Fernandez-Recio, A. Jurado-Lucena, B. Errasti-Alcala, D. Escot Bocanegra, D. Poyatos-Martinez, Fernández-Recio, R., Poyatos-Martínez, D., I. Montiel-Sanchez, Errasti-Alcalá, B., Bocanegra, D. Escot, Jurado-Lucena, A., Montiel-Sánchez, I.   +11 more
core   +1 more source

Range-Spread Target Detection Networks Using HRRPs

Remote Sensing
Range-spread target (RST) detection is an important issue for high-resolution radar (HRR). Traditional detectors relying on manually designed detection statistics have their performance limitations. Therefore, in this work, two deep learning-based detectors are proposed for RST detection using HRRPs, i.e., an NLS detector and DFCW detector.
Yishan Ye, Zhenmiao Deng, Pingping Pan, Wei He   +3 more
openaire   +2 more sources

Deep Hybrid Fusion Network for Inverse Synthetic Aperture Radar Ship Target Recognition Using Multi-Domain High-Resolution Range Profile Data

Remote Sensing
Most existing target recognition methods based on high-resolution range profiles (HRRPs) use data from only one domain. However, the information contained in HRRP data from different domains is not exactly the same.
Jie Deng, Fulin Su
doaj   +1 more source

Study on radar target recognition based on sparse representation with a federated dictionary

Dianzi Jishu Yingyong, 2019
When high resolution range profiles(HRRP) are used to recognize radar target, few traditional recognition methods analyse the sparseness of HRRP samples.
Duan Peipei, Li Hui, Luo Mingshi
doaj   +1 more source

Re-Thinking Readmissions: Analyzing the Effects of the New Stratified Methodology on HRRP Penalty Allocation [PDF]

, 2018
This report addresses the Affordable Care Act’s Hospital Readmissions Reduction Program and the penalties associated with it. It outlines the history of the HRRP, derives its payment adjustment calculation, and assesses the degree to which the program ...
Haynes, William
core  

HRRP Target Recognition Based on Sparse Representation

Journal of Physics: Conference Series, 2019
Abstract When high resolution range profiles(HRRP) are used to recognize radar target, a few traditional recognition methods analyze the sparseness of HRRP samples. In order to overcome the large sample size problem and simplify the recognition procedure, sparse representation is an effective way to compress HRRP samples and extract the ...
Duan Peipei, Zhang Yan
openaire   +1 more source

A Multi-Modal Fusion Algorithm for Space Target Recognition Based on Spatial Attention and Multi-Scale Temporal Network

Aerospace
When fusing inverse synthetic aperture radar (ISAR) images and high-resolution range profile (HRRP), the significant heterogeneity existing between the feature spaces of the two is not adequately considered, resulting in a low accuracy rate of space ...
Xiaoyu Cong, Yubing Han, Cheng Chen, Shichen Shan   +3 more
doaj   +1 more source

Radar High-resolution Range Profile Target Recognition Based on Attention Mechanism and Bidirectional Gated Recurrent

Leida xuebao, 2019
To address the problem of radar High-Resolution Range Profile (HRRP) target recognition, traditional methods only consider the envelope information of the sample and ignore the temporal correlation between the range cells.
LIU Jiaqi, CHEN Bo, JIE Xi
doaj   +1 more source

Association of the Hospital Readmissions Reduction Program Implementation With Readmission and Mortality Outcomes in Heart Failure [PDF]

, 2018
ImportancePublic reporting of hospitals' 30-day risk-standardized readmission rates following heart failure hospitalization and the financial penalization of hospitals with higher rates have been associated with a reduction in 30-day readmissions but ...
Fonarow, Gregg C, Bhatt, Deepak L, Peterson, Eric D, Deepak L. Bhatt, Adrian F. Hernandez, Eric D. Peterson, Gupta, Ankur, Heidenreich, Paul A, Ankur Gupta, Cox, Margueritte, DeVore, Adam D, Hernandez, Adrian F, Allen, Larry A, Matsouaka, Roland A, Larry A. Allen, Yancy, Clyde W, Margueritte Cox, Clyde W. Yancy, Gregg C. Fonarow, Roland A. Matsouaka, Adam D. DeVore, Paul A. Heidenreich   +21 more
core   +1 more source

Deep Learning for HRRP-based Satellite Recognition

Journal of Physics: Conference Series, 2019
Abstract An approach that employs deep learning technology is presented to recognize satellites based on radar high-resolution range profile (HRRP) data. We focus on extracting effective satellite recognition features in this paper. Thus, a deep learning model is constructed by gated recurrent unit (GRU) neural network and support vector
W Lu, Y S Zhang, Y R Huo, C Y Lin
openaire   +1 more source