Company Filing History:
Years Active: 2021
Title: Innovations of Zhenqian Chen in Noise Detection Methods
Introduction
Zhenqian Chen is a notable inventor based in Zhejiang, China. He has made significant contributions to the field of remote sensing through his innovative patent. His work focuses on improving the reliability of land surface-related applications by enhancing noise detection methods.
Latest Patents
Zhenqian Chen holds a patent for a "Noise detection method for time-series vegetation index derived from remote sensing images." This method employs a unit root test to classify observation values of each pixel into stationary and non-stationary series. For non-stationary series, an appropriate mathematical model is utilized to model discrete time-series vegetation index (TSVI). The differences between actual observation values and predicted values are calculated and recorded as deviations. This process effectively removes seasonal components, transforming non-stationary series into stationary series. Noise detection is then performed based on the assumption that observation values are distributed within a certain range around mean values. The model fitting and noise detection are iteratively carried out until the maximum number of iterations is reached or no noise is detected. The time series is converted back to image space to obtain an optimized noise mask. This invention significantly enhances the accuracy of noise detection in remote sensing applications.
Career Highlights
Zhenqian Chen is affiliated with Zhejiang University, where he continues to contribute to research and innovation in remote sensing technologies. His work has garnered attention for its practical applications in environmental monitoring and analysis.
Collaborations
Zhenqian has collaborated with notable colleagues such as Wei Wu and Jiancheng Luo, further enriching his research endeavors and expanding the impact of his innovations.
Conclusion
Zhenqian Chen's contributions to noise detection methods in remote sensing highlight the importance of innovation in environmental science. His patent not only advances the field but also demonstrates the potential for technology to improve land surface-related applications.