Y. Yu

ORCID: 0000-0003-0011-9055
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About
Contact & Profiles
Research Areas
  • Remote-Sensing Image Classification
  • Advanced Algorithms and Applications
  • Geophysics and Gravity Measurements
  • Advanced Neural Network Applications
  • Remote Sensing and Land Use
  • 3D Printing in Biomedical Research
  • Atmospheric aerosols and clouds
  • Gene expression and cancer classification
  • Advanced Computational Techniques and Applications
  • Advanced Image and Video Retrieval Techniques
  • Gear and Bearing Dynamics Analysis
  • Infrared Target Detection Methodologies
  • Machine Learning in Bioinformatics
  • Soil Moisture and Remote Sensing
  • Precipitation Measurement and Analysis
  • Atmospheric chemistry and aerosols
  • Extenics and Innovation Methods
  • Advanced Sensor and Control Systems
  • Radio Wave Propagation Studies
  • Space Satellite Systems and Control
  • Genomics and Phylogenetic Studies
  • Fault Detection and Control Systems
  • Atmospheric and Environmental Gas Dynamics
  • Oceanographic and Atmospheric Processes
  • Vehicle License Plate Recognition

Hefei University of Technology
2022

Tiangong University
2021

University of Chinese Academy of Sciences
2018

The ship detection field faces many challenges due to the large-scale and high complexity of optical remote sensing images. Therefore, an innovative method that is simple, accurate, stable proposed in this paper. algorithm consists following two steps: 1) AdaBoost classifier, combined with Haar-like features, used rapidly extract candidate area slices, 2) according characteristics ships, a periphery-cropped network designed for verification. Furthermore, we analyze ocean images improve...

10.1109/access.2018.2881479 article EN cc-by-nc-nd IEEE Access 2018-01-01

Semi-supervised learning is a highly researched problem, but existing semi-supervised object detection frameworks are based on RGB images, and pre-trained models cannot be used for hyperspectral images. To overcome these difficulties, this paper first select fewer suitable data augmentation methods to improve the accuracy of supervised model labeled training set, which characteristics Next, in order make full use unlabeled we generate pseudo-labels with trained stage mix obtained set. Then,...

10.1109/cvprw56347.2022.00045 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2022-06-01

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10.11834/jrs.20208264 article DA National Remote Sensing Bulletin 2020-01-01

The human adrenal gland is composed of the cortex and medulla, which contain different function cells. aim this study was to build a 3D culture system for glands.

10.7754/clin.lab.2024.240719 article EN Clinical Laboratory 2024-01-01
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