This paper presents a new method of demodulating the spectrum of fiber Bragg grating (FBG)
based sensors by employing deep convolutional neural networks (DCNN). As a proof of …

The denoising diffusion model has received increasing attention in the field of image generation
in recent years, thanks to its powerful generation capability. However, diffusion models …

In image fusion tasks, images from different sources possess distinct characteristics. This has
driven the development of numerous methods to explore better ways of fusing them while …

This paper proposes a new approach of demodulating the spectra of tilted fiber Bragg grating
(TFBG) based refractive-index (RI) sensor by employing convolutional neural networks (…

Recently, implicit neural representations (INR) have made significant strides in various
vision-related domains, providing a novel solution for Multispectral and Hyperspectral Image …

Denosing diffusion model, as a generative model, has received a lot of attention in the field
of image generation recently, thanks to its powerful generation capability. However, diffusion …

Vision transformer family has dominated the satellite pan-sharpening field driven by the
global-wise spatial information modeling mechanism from the core self-attention ingredient. The …

Recent diffusion probabilistic models (DPM) in the field of pansharpening have been gradually
gaining attention and have achieved state-of-the-art (SOTA) performance. In this paper, …

Radio frequency-based (RF-based) detection methods are currently the main means of
countering drones. However, these prevalent approaches frequently exhibit deficiencies in …

Pansharpening is a significant image fusion technique that merges the spatial content and
spectral characteristics of remote sensing images to generate high-resolution multispectral …