Traditional radar target detection algorithms are mostly based on statistical theory. They have weak generalization capabilities for complex sea clutter environments and diverse characteristics, their performance would be significantly reduced. In this paper, the range-azimuth-frame information obtained by scanning is converted into plain position indicator (PPI) images, a novel Radar-PPInet pr...

A multiframe selective information fusion technique, based on a time evolution equation with anisotropic gain, is applied to the spatio-temporal processing of a video captured from behind visual obstructions, achieving as final output a synthetic frame of unobstructed field of view, as though 'looking straight through the woods' at a distant scene. I. INTRODUCTION The goal of multiframe selecti...

In this study, a distributed fuzzy filter is proposed for non-linear state estimation problem on the possibilistic framework. Firstly, instead of Gaussian distribution probability framework, process and observation noises are modelled as random variables with trapezoidal possibility distributions. Secondly, novel square root cubature information filtering (SRFCIF) algorithm to deal noise; varia...

We present an overview of the notions exact sequences Hopf algebras and tensor categories their connections. also some examples illustrating main features; these include simple fusion a natural question regarding composition series finite categories.

4D-STEM, in which the 2D diffraction plane is captured for each scan position scanning transmission electron microscope (STEM) using a pixelated detector, complementing and increasingly replacing existing imaging approaches. However, at present speed of those detectors, although having drastically improved recent years, still 100 to 1,000 times slower than current PMT technology operators are u...

Multi-modal image fusion can provide more information, which improves the quality for subsequent processing tasks. Because images acquired using photon counting devices always suffer from Poisson noise, this paper proposes a new three-step method based on fractional-order variational and data-driven tight frame to solve problem of multi-modal corrupted by noise. Thus, article obtains fused high...

High-quality depth images are required for stable and accurate computer vision. Depth captured by cameras tend to be noisy, incomplete, of low-resolution. Therefore, increasing the accuracy resolution is desirable. We propose a method reducing noise holes from pixel pixel, resolution. For each in target image, linear space focal point camera through existing object divided into equally spaced g...