Sequential Monte Carlo algorithms for joint target tracking and classification using kinematic radar information [PDF]
This paper considers the problem of joint maneuvering target tracking and classification. Based on recently proposed Monte Carlo techniques, a multiple model (MM) particle filter and a mixture Kalman filter (MKF) are designed for two-class identification
Angelova, Donka, Mihaylova, L.
core
On the airworthiness approval of a SAR ATR system
Paper 73350KA manned platform is to be equipped with a Synthetic Aperture Radar (SAR) based Automatic Target Recognition (ATR) system for precision targeting. The platform's airworthiness has to be approved including the ATR system, i.e.
Stahl, C. +3 more
core +1 more source
Modern Synergetic Neural Network for Synthetic Aperture Radar Target Recognition
Feature extraction is an important process for the automatic recognition of synthetic aperture radar targets, but the rising complexity of the recognition network means that the features are abstractly implied in the network parameters and the ...
Zihao Wang, Haifeng Li, Lin Ma
core +1 more source
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel +4 more
wiley +1 more source
Shared Representation of SAR Target and Shadow Based on Multilayer Auto-encoder
Automatic Target Recognition (ATR) of Synthetic Aperture Radar (SAR) image is investigated. A SAR feature extraction algorithm based on multilayer auto-encoder is proposed.
Sun Zhi-jun +3 more
doaj +1 more source
Using Classify-While-Scan (CWS) Technology to Enhance Unmanned Air Traffic Management (UTM)
Drone detection radar systems have been verified for supporting unmanned air traffic management (UTM). Here, we propose the concept of classify while scan (CWS) technology to improve the detection performance of drone detection radar systems and then to ...
Jiangkun Gong +4 more
doaj +1 more source
3D Printing of Stretchable, Compressible and Conductive Porous Polyurethane for Soft Robotics
A 3D‐printable porous dopamine‐polyurethane acrylate elastomer results in conductive, stretchable, and compressible structures that can be metallized in situ through catechol‐mediated silver reduction. The resulting material function as both compliant soft robot with a and strain sensors without complex assemblies, enabling fully 3D‐printed soft ...
Ouriel Bliah +3 more
wiley +1 more source
One-vs-All Convolutional Neural Networks for Synthetic Aperture Radar Target Recognition
Convolutional Neural Networks (CNN) have been widely utilized for Automatic Target Recognition (ATR) in Synthetic Aperture Radar (SAR) images. However, a large number of parameters and a huge training data requirements limit CNN’s use in SAR ATR.
Babu Bileesh Plakkal +1 more
doaj +1 more source
Radar Target Recognition by Convolutional Capsule Networks Based on High-Resolution Range Profile
Automatic target recognition (ATR) is of increasing importance for the modern radar system, where the high-resolution range profile (HRRP) is essential.
Xianwen Zhang +3 more
doaj +1 more source
A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett +5 more
wiley +1 more source

