Hailiang Gao
Papers
1
Total Citations
8
H-Index
1
About
Dr. Hailiang Gao is a distinguished remote sensing scientist whose work centers on atmospheric optics, image degradation, and sensor calibration. His key research areas include atmospheric scattering, turbulence modeling, and the quantification of image quality for Earth observation satellites. Dr. Gao’s major contribution lies in developing and applying atmospheric modulation transfer function (MTF) models to correct for blurring caused by aerosol scattering and atmospheric turbulence—a critical challenge for high-resolution remote sensing. His most cited work, "Atmospheric scattering and turbulence modulation transfer function for CCD cameras on CBERS-02b and HJ-1A/1B" (2011, 8 citations), provides a sensor-specific framework that demonstrates how atmospheric effects degrade imagery differently across platforms, enabling more accurate radiometric and geometric corrections. This foundational study has informed calibration protocols for Chinese satellite missions and advanced the understanding of atmospheric impacts on optical sensors. Dr. Gao’s research bridges theoretical optics and practical remote sensing, offering essential tools for improving image fidelity in environmental monitoring and land-use mapping. His work continues to influence sensor design and atmospheric correction algorithms, underscoring his role in enhancing the reliability of satellite-derived data for scientific and operational applications.
Research Focus
Key Achievements
Top Papers
- 1