Minghao Zhang

ORCID: 0000-0002-5786-7436
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About
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Research Areas
  • GNSS positioning and interference
  • Geophysics and Gravity Measurements
  • Gait Recognition and Analysis
  • Video Surveillance and Tracking Methods
  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques
  • Inertial Sensor and Navigation
  • Advanced Image Processing Techniques
  • Urban Heat Island Mitigation
  • Atmospheric aerosols and clouds
  • Atmospheric chemistry and aerosols
  • Remote-Sensing Image Classification
  • Cultural Heritage Management and Preservation
  • Air Quality and Health Impacts
  • Meteorological Phenomena and Simulations
  • Soil Moisture and Remote Sensing
  • Infrared Target Detection Methodologies
  • Ionosphere and magnetosphere dynamics
  • Face recognition and analysis
  • Conservation Techniques and Studies
  • Building Energy and Comfort Optimization
  • Precipitation Measurement and Analysis

China University of Mining and Technology
2022-2024

Henan University
2024

Global navigation satellite systems (GNSS) has been applied to the sounding of precipitable water vapor (PWV) due its high accuracy and spatiotemporal resolutions. PWV obtained from GNSS (GNSS-PWV) can be used investigate extreme weather phenomena, such as formation mechanism prediction rainfalls. In study, a new, improved model for rainfall forecasting was developed based on data 9-year period 2010 2018 at 66 stations located in USA. The new included three factors—PWV value, increase,...

10.3390/rs14174280 article EN cc-by Remote Sensing 2022-08-30

Climate change and the energy crisis have catalyzed architectural industry’s consideration of green energy-efficient buildings. With continuous deepening expansion research, people gradually realized reference value passive design strategies embedded in traditional residential buildings for contemporary renovation. This paper takes on Hubu Mountain, Xuzhou, as its research object, explores their thermal wind environment characteristics through field investigations software simulation...

10.3390/su16083411 article EN Sustainability 2024-04-18

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

Residential buildings consume significant amounts of energy worldwide. Traditional courtyard houses have substantial energy-saving potential due to their low consumption and high climate adaptability, which has heightened interest in climate-responsive design. In recent years, extensive research on traditional been conducted China, indicating variations performances among courtyards within hot-summer cold-winter zones. Therefore, this study, based the Xuzhou area utilizing Ecotect Phoenics...

10.3390/su16198676 article EN Sustainability 2024-10-08

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

Abstract. Grid-wise Vienna Mapping Functions 1 (VMF1) and 3 (VMF3) tropospheric products have been widely used to interpolate the a priori zenith hydrostatic delay (ZHD) wet (ZWD) over GNSS (Global Navigation Satellite Systems) stations for mitigation of delays inherited in observations. Since two only provide ground surface ZHD ZWD global grid points, four points nearest site need be reduced same height before horizontal interpolation (e.g., bilinear or inverse-distance weighted...

10.5194/gmd-2024-123 preprint EN cc-by 2024-11-04

Global navigation satellite systems (GNSS) tropospheric tomography can be used to build a three-dimensional water vapor field. In traditional tomography, the signals crossing from four sides of tomographic region are not utilized. To make best use these valuable side-crossing signals, an improved model based on back propagation artificial neural network (BP-ANN) is proposed. new model, inside part slant wet delay (SWD) signal divided into two sections: isotropic and anisotropic components....

10.1109/jstars.2023.3278302 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2023-01-01

Missing data in precipitable water vapor derived from global navigation satellite systems (GNSS-PWV) is commonly a large hurdle climatical applications, since continuous PWV an important prerequisite. Interpolation using principal component analysis (PCA) typically used to resolve this problem. However, the popular PCA-based interpolating methods, e.g., rank-deficient least squares PCA (RDPCA) and empirical orthogonal function (DINEOF), often lead unsatisfactory results. This study analyzes...

10.3390/rs15215153 article EN cc-by Remote Sensing 2023-10-28

The tropospheric tomography is an ill-posed inversion problem due to the sparsity of Global Navigation Satellite Systems (GNSS) stations and limitation on projection angles GNSS signals, which in turn affects stability robustness tomographic solution. To address this, a new algorithm, named two-step projected iterative algorithm (TSPIA), proposed. wet refractivity (WR) field was constructed two steps: first, preprocessing for initial input values performed, then its resultant solution into...

10.1109/jstars.2022.3192437 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2022-01-01

Aerosol Optical Depth (AOD), quantifying the amount of aerosol in atmosphere, is widely regarded as a crucial indicator for research on atmospheric physics and regional air quality. At present, inversion AOD from observation satellite remote sensing sensors has become main technology large-scale monitoring load. The Huaihai Economic Zone connecting belt two key areas governance (the Yangtze River Delta Beijing-Tianjin-Hebei region, China), it been suffering pollution many years few studies...

10.3390/atmos14050822 article EN cc-by Atmosphere 2023-05-02
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