Kaichuang Xue

ORCID: 0009-0003-7166-4410
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About
Contact & Profiles
Research Areas
  • Color Science and Applications
  • Remote Sensing and Land Use
  • Methane Hydrates and Related Phenomena
  • Image Enhancement Techniques
  • Advanced Measurement and Detection Methods
  • Indoor and Outdoor Localization Technologies
  • Magnetic Field Sensors Techniques
  • Advanced Image Fusion Techniques
  • Inertial Sensor and Navigation
  • Advanced Statistical Methods and Models
  • Ocean Waves and Remote Sensing
  • Spectroscopy and Chemometric Analyses
  • Remote-Sensing Image Classification

China Academy of Launch Vehicle Technology
2023-2024

National University of Defense Technology
2014-2016

Xichang University
2016

The accurate measurement of a geomagnetic field is key technology in many applications, such as magnetic anomaly detection, underwater navigation, and motion tracking. However, the interference fields, ferromagnetic parts other electric equipments, will seriously influence accuracy vector system, thus should be compensated. In this paper, new compensation method using differential proposed. As first step, permanent magnet with different relative positions used to change ambient construct...

10.1109/jsen.2016.2615872 article EN IEEE Sensors Journal 2016-10-07

Intertidal terrain extraction based on satellite remote sensing images is of great military application and civilian value. In this paper, we propose a fusion algorithm SAR optical image to enhance intertidal feature. With the panchromatic from different phases, use an improved shift-invariant discrete wavelet transform obtain higher quality that can not only highlight shape zone, but also characteristics coastline. The real data experiment comparison experiments with other algorithms show...

10.1117/12.3033618 article EN 2024-06-13

An unsupervised classification method combining dimensionality reduction and for hyper-spectral image is proposed in this paper.It based on the property that lower dimensional linear projections of high data sets have tendency to be normal, or a combination normal distributions as dimension increases.We first reduce spectral using principal component analysis (PCA) projection; then model transformed by Gauss mixture models, estimate parameters Expectation-Maximization (EM) algorithm merge...

10.1145/3638884.3638907 article EN 2023-12-14
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