Weibao Xue

ORCID: 0000-0003-4867-295X
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About
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Research Areas
  • Flood Risk Assessment and Management
  • Underwater Acoustics Research
  • Remote Sensing and LiDAR Applications
  • Face Recognition and Perception
  • Image and Signal Denoising Methods
  • Automated Road and Building Extraction
  • Advanced Image Fusion Techniques
  • Advanced Image and Video Retrieval Techniques
  • Sparse and Compressive Sensing Techniques
  • Ocean Waves and Remote Sensing
  • Advanced Measurement and Detection Methods
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Face and Expression Recognition
  • Infrared Target Detection Methodologies
  • Emotion and Mood Recognition

Hefei University of Technology
2024-2025

Anhui University
2021

China Academy of Space Technology
2021

Synthetic aperture radar (SAR) water body extraction is of great significance for many applications, such as flood disaster monitoring, coastline change detection, and resources management. However, the previous research has mainly focused on single band SAR images, dual-polarization information not been comprehensively utilized, resulting in problem incomplete extraction. In this article, we propose a model called dense-coordinate-feature-concatenate network (DCFNet) to extract fuse...

10.1109/jstars.2021.3129182 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2021-01-01

A quadrilateral filtering algorithm is proposed in this letter to reduce noise video synthetic aperture radar (video SAR). The novel approach draws inspiration from the traditional bilateral filter and effectively exploits similarities both greyscale geometric levels. Moreover, incorporates similarity of time domain rank-ordered absolute difference (ROAD) statistic for detecting abundant speckle impulse SAR frames. An detector, which related distribution ROAD, added process remove outliers...

10.1080/2150704x.2024.2439071 article EN Remote Sensing Letters 2024-12-22
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