Abstract Timely, reliable and comprehensive global observation information is essential for space weather research. However, limited technology hinders the consecutive coverage of data. For integrity continuity data, deep learning can obtain a Ionospheric total electron content (TEC) map by fusing multi‐source TEC maps. Different from previous methods, in study, hybrid model (RFGAN) based on Du...

Medical image analysis is a critical job for the clinicians and radiologists to attain minute insights proper diagnosis. The presence of complementary details region interest (ROI) from multiple medical imaging modalities instigates researchers integrate or combine pathological ease clinical In this paper, objective obtain comprehensive that presents composite two multimodal images same ROI. ba...

The application of AR to explore augmented map representation has become a research hotspot due the growing in maps and geographic information addition rising demand for automated interpretation. Taking as object, this paper focuses on tracking registration virtual–real fusion method based element recognition. It strives establish new visualization interface model. technology is applied 2D plan...

A new means of action selection via utility fusion is introduced as an alternative to both sensor fusion and command fusion. Distributed asynchronous behaviors indicate the utility of various possible states and their associated uncertainty. A centralized arbiter then combines these utilities and probabilities to determine the optimal action based on the maximization of expected utility. The co...

Abstract Aiming at the problem of low change detection accuracy caused by difference in brightness optical remote sensing images, an This method borrows idea convolution learning features deep learning, performs operations on two and obtains convolutional map fusion. logarithmic ratio map; then multi-layer maps respectively. The feature after each layer are combined to obtain a fused fusion fin...