Information fusion in practice: A distributed cognition perspective on the active role of users [PDF]
, 2012 Traditionally, the focus of most information fusion research has been on computational aspects, as illustrated by, for example, different versions of the JDL data fusion model.
Susi, Tarja, +7 more
core +1 more source
How certain is certain? Evaluation of uncertainty in the fusion of information derived from diverse sources [PDF]
, 2022 S.1613-1620Todays asymmetric military operations, often involve multiple partners, including the armed forces of allied nations, relief agencies and other organizations.
Schade, U., Rein, K.
core
SAR image target-detection method based on two-stage CFAR detector with G^0 distribution
The Journal of Engineering, 2019 CFAR detection algorithm is widely used in the typical target detection of SAR images. In SAR image target detection, the simple statistical distribution models, such as Gaussian distribution, normal distribution, Weibull distribution etc., are obviously
Cai Fu-qing +3 more
doaj +1 more source
SAR image detection of sea targets based on two-step CFAR detector of KK distribution
The Journal of Engineering, 2019 In the detection of SAR image of sea targets, the simple statistical distribution models such as Gaussian distribution, normal distribution, Weibull distribution etc.
Song Jie +3 more
doaj +1 more source
IET Radar, Sonar & Navigation, 2023 Specific emitter identification (SEI) is an emerging device authentication technology, which depends on the inherent hardware characteristics of wireless devices. By analysing the received signal, the hardware characteristics of a specific emitter can be
Kaiwen Tan +5 more
doaj +1 more source
Neural-Network-Assisted Polar Code Decoding Schemes
Applied Sciences, 2022 The traditional fast successive-cancellation (SC) decoding algorithm can effectively reduce the decoding steps, but the decoding adopts a sub-optimal algorithm, so it cannot improve the bit error performance. In order to improve the bit error performance
Hengyan Liu +3 more
doaj +1 more source
Integration of soft data for information fusion: Pitfalls, challenges and trends [PDF]
, 2022 8 S.This paper explores the question of soft data integration for information fusion. The topic is of particular interest in military and civilian fusion applications making use of both sensor and human-based information.
Dragos, V., Rein, K.
core
A Discriminative Distillation Network for Cross-Source Remote Sensing Image Retrieval
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Nowadays, several remote sensing image capturing technologies are used ranging from unmanned aerial vehicles to satellites. Powerful learning-based discriminative features play an essential role in content-based remote sensing image retrieval (CBRSIR ...
Wei Xiong +3 more
doaj +1 more source
Serial GANs: A Feature-Preserving Heterogeneous Remote Sensing Image Transformation Model
Remote Sensing, 2021 In recent years, the interpretation of SAR images has been significantly improved with the development of deep learning technology, and using conditional generative adversarial nets (CGANs) for SAR-to-optical transformation, also known as image ...
Daning Tan +5 more
doaj +1 more source
Bayesian fusion of multivariate image series to obtain depth information [PDF]
, 2009 S.1731-1737This contribution presents a fusion method for multivariate stereo and spectral series with the purpose of obtaining 3D information. The image series are gained using a camera array with spectral filters.
Beyerer, J., Heizmann, M., Gheta, I.
core +1 more source