DNN transfer learning from diversified micro-Doppler for motion classification
Recently, deep neural networks (DNNs) have been the subject of intense research for the
classification of radio frequency signals, such as synthetic aperture radar imagery or micro …
classification of radio frequency signals, such as synthetic aperture radar imagery or micro …
Micro-Doppler radar classification of humans and animals in an operational environment
WD Van Eeden, JP De Villiers, RJ Berndt… - Expert Systems with …, 2018 - Elsevier
A combined Gaussian mixture model and hidden Markov model (HMM) is developed to
distinguish between slow moving animal and human targets using mel-cepstrum …
distinguish between slow moving animal and human targets using mel-cepstrum …
Blockchain methods for trusted avionics systems
Blockchain is a popular method to ensure security for trusted systems. The benefits include
an auditable method to provide decentralized security without a trusted third party, but the …
an auditable method to provide decentralized security without a trusted third party, but the …
Panel summary of cyber-physical systems (cps) and internet of things (iot) opportunities with information fusion
During the 2016 SPIE DSS conference, nine panelists were invited to highlight the trends
and opportunities in cyber-physical systems (CPS) and Internet of Things (IoT) with …
and opportunities in cyber-physical systems (CPS) and Internet of Things (IoT) with …
Use of the urref towards information fusion accountability evaluation
EP Blasch, JP de Villiers, G Pavin… - 2021 IEEE 24th …, 2021 - ieeexplore.ieee.org
The EXCITE (EXplainability Capability Information Testing Evaluation) approach assesses
information fusion interpretability, explainability, and accountability for uncertainty analysis …
information fusion interpretability, explainability, and accountability for uncertainty analysis …
Learned micro-Doppler representations for targets classification based on spectrogram images
This paper proposes a new approach for classifying ground moving targets captured by
pulsed Doppler radar. Radar echo signals express the Doppler effect that moving targets …
pulsed Doppler radar. Radar echo signals express the Doppler effect that moving targets …
A study of lightweight dddas architecture for real-time public safety applications through hybrid simulation
Utilizing the Dynamic Data Driven Applications Systems (DDDAS) framework for Smart
Cities, a Smart Public Safety (SPS) system has become feasible by integrating …
Cities, a Smart Public Safety (SPS) system has become feasible by integrating …
Analytical science for autonomy evaluation
E Blasch, B Pokines - 2019 IEEE National Aerospace and …, 2019 - ieeexplore.ieee.org
Current directions in autonomous systems focus on collecting large amounts of data to
verify, validate, test, and evaluate system operations. For multidomain and uncertain …
verify, validate, test, and evaluate system operations. For multidomain and uncertain …
Test and evaluation needs of multi-domain autonomous systems
The paper highlights the need for methods of analytical science for multi-domain autonomy
evaluation. Multidomain autonomous systems need to collect large amounts of data to verify …
evaluation. Multidomain autonomous systems need to collect large amounts of data to verify …
Physics-based and human-derived information fusion for analysts
E Blasch, J Nagy, S Scott, J Okoth… - … -Generation Analyst V, 2017 - spiedigitallibrary.org
Recent trends in physics-based and human-derived information fusion (PHIF) have
amplified the capabilities of analysts; however with the big data opportunities there is a need …
amplified the capabilities of analysts; however with the big data opportunities there is a need …