Multi-Sensor Data Synergy Advisor ( MDSA )Leptoukh, P I GregoryGsfc, Nasa
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To deal with the challenges, this paper proposes a RUL prediction method based on a multi-sensor data fusion model. In this method, the inherent degradation process of the system state is expressed using a state transition function following a Wiener process. Multi-sensor signals are explicated ...
Multi-Sensor Data Fusion with MATLAB Using MATLABexamples wherever possible, explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The aut... CRC Press - ...
The problem addressed in this paper is that of fault-tolerant multi-sensor data-fusion for flight navigation during approach and landing of a civil jetliner. The work falls within the scope of a large collaborative project on future single pilot operations issues. The proposed methodology is based...
Since the frequency is a key factor for penetration depth, it is thought that the use of different SAR data might give interesting results as an output. This study describes a comparative study of multisensor fusion methods, namely the intensity-hue-saturation, Ehlers, and Brovey techniques, by...
In this letter, we investigate the problem of fusion of data collected by sensors having different ground and wavelength resolutions. This is a typical problem encountered in the interpretation of remotely sensed images. The approach that is proposed here is based on the use of cosine-modulated un...
Satellite-based Earth observation plays a key role for monitoring volcanoes, especially those which are located in remote areas and which very often are not observed by a terrestrial monitoring network. In our study we jointly analyzed data from thermal
However, there are still some limitations in the previous empirical studies due to the topology of the city and the type of data, that we overcome in this study. Firstly, the network has a large portion (nearly 75%) of dedicated bus lanes. A network like this exhibits unique multimodal ...
Multi-sensor data can provide a comprehensive description of a robot’s running state. However, wheeled mobile robots are generally equipped with multi-heterogeneous sensors, and extracting high-level fault features from multi-heterogeneous sensor data is difficult. This study proposes a novel channel-...