Huajing Wu

ORCID: 0000-0002-7248-680X
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Research Areas
  • Advanced Image Fusion Techniques
  • Image and Signal Denoising Methods
  • Ionosphere and magnetosphere dynamics
  • Planetary Science and Exploration
  • Astro and Planetary Science
  • Remote-Sensing Image Classification
  • GNSS positioning and interference
  • Advanced Image Processing Techniques
  • Isotope Analysis in Ecology
  • Space Exploration and Technology
  • Geophysics and Gravity Measurements
  • Earthquake Detection and Analysis

China University of Mining and Technology
2022-2025

Abstract The ionospheric total electron content (TEC) is an important parameter, and it widely utilized in research such as space weather prediction precise positioning. However, still challenging to develop TEC model with high accuracy. In this study, a new over China was developed using the bidirectional long short‐term memory (bi‐LSTM) method observations from 257 ground‐based global navigation satellite system (GNSS) stations Crustal Movement Observation Network of January 2018 December...

10.1029/2022sw003103 article EN cc-by-nc-nd Space Weather 2022-06-01

10.1109/jstars.2025.3549691 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2025-01-01

A high-spatial-resolution hyperspectral image (HR-HSI) can be obtained by fusing a and multispectral (HSI-MSI) since it takes the advantage of combing low-spatial-resolution (LR-HSI) (HR-MSI). Currently, most HSI-MSI fusion methods decompose HSIs in both spatial spectral domains, which destroys correlation two domains results poor results. To further explore information, an unsupervised blind spectral-spatial cross-super-resolution network (CSRNet) is proposed for fusion. The transforms into...

10.1109/tgrs.2024.3362862 article EN IEEE Transactions on Geoscience and Remote Sensing 2024-01-01

Due to the limitations of hyperspectral optical imaging, images have a dilemma between spectral and spatial resolutions. Hyperspectral multispectral image (HSI-MSI) fusion, which combines low-spatial-resolution (LR-HSI) high-spatial-resolution (HR-MSI), can generate (HR-HSI). In existing methods for correlation domains in HSIs is mostly neglected. To address this issue, an unsupervised encoder-decoder network under guidance fusion (uEDSSG) was proposed study. learn more accurate abundances...

10.1109/tgrs.2023.3320404 article EN IEEE Transactions on Geoscience and Remote Sensing 2023-01-01

Abstract This paper presents a new model for ionospheric total electron content (TEC) over China. The is developed using hybrid method composed of the particle swarm optimization (PSO) and artificial neural network long‐term observations from 257 ground‐based global navigation satellite systems (GNSS) stations space‐borne GNSS radio occultation (COSMIC Fengyun) during 14‐year period 2008–2021. PSO algorithm used to optimize traditional back‐propagation (BP‐NN) by reducing effects local...

10.1029/2022sw003357 article EN cc-by-nc-nd Space Weather 2023-04-01

Hyperspectral super-resolution reconstruction technique obtains a high-resolution hyperspectral image (HR-HSI) by fusing both low-resolution (LR-HSI) and multispectral (HR-MSI). Existing methods of are mostly concentrated on the global low-rank property, while spatial spectral information in individual regions is not considered. To address this issue, decomposition sparse tensor (DLST) proposed study. First, HR-HSI was decomposed into components. The former further separated domains...

10.1109/jstars.2022.3214653 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2022-01-01
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