Ziwen Gao

Title: Innovations of Ziwen Gao in Remote Sensing Data Storage

Introduction

Ziwen Gao is an accomplished inventor based in Wuhan, China. He has made significant contributions to the field of remote sensing data management. His innovative approach focuses on efficiently storing large datasets in Hbase databases.

Latest Patents

Ziwen Gao holds a patent titled "Method of storing remote sensing big data in Hbase database." This method involves several steps, including obtaining a remote sensing image and pre-cropping it based on a Google S2 algorithm. The process also includes selecting a grid level based on the image's resolution, demarcating the coverage scope, and calculating the grids covered within that scope. The method culminates in establishing an Hbase table and integrating multi-source remote sensing image data for efficient storage.

Career Highlights

Ziwen Gao is affiliated with Wuhan University, where he continues to advance research in remote sensing technologies. His work has garnered attention for its practical applications in managing big data.

Collaborations

Ziwen collaborates with notable colleagues, including Linyi Li and Rui Wang, who contribute to his research endeavors.

Conclusion

Ziwen Gao's innovative methods in remote sensing data storage exemplify the intersection of technology and research. His contributions are paving the way for advancements in data management practices.