Beijing, China

Yue Qi


Average Co-Inventor Count = 2.5

ph-index = 1


Company Filing History:


Years Active: 2015-2019

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Innovations of Yue Qi in Remote Sensing Technology

Introduction

Yue Qi is a notable inventor based in Beijing, China, recognized for his contributions to remote sensing technology. He has developed innovative methods that enhance the extraction of images and features from remote sensing data, particularly in port environments. With a total of three patents to his name, Yue Qi's work demonstrates a significant impact on the field.

Latest Patents

Yue Qi's latest patents include a method of extracting images of port wharfs through multispectral interpretation. This method involves several steps, such as extracting a blurred coastline, performing smoothing and noise removal on remote sensing images, and establishing a multispectral database for targeted port wharfs. Another notable patent is the method of extracting warehouses in ports from hierarchically screened remote sensing images. This process includes recognizing texture features, selecting samples of irregular texture regions, and accurately extracting warehouse features through scene images.

Career Highlights

Throughout his career, Yue Qi has worked with prominent organizations, including the Transport Planning and Research Institute of the Ministry of Transport and Lenovo Software Ltd. His experience in these institutions has allowed him to refine his skills and contribute to significant advancements in remote sensing technology.

Collaborations

Yue Qi has collaborated with several professionals in his field, including Yaping Mao and Yun Feng. These partnerships have facilitated the exchange of ideas and fostered innovation in their respective projects.

Conclusion

Yue Qi's innovative methods in remote sensing technology have made a substantial impact on the extraction of critical information from images. His patents reflect a commitment to advancing the field and improving the accuracy of remote sensing applications.

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